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12 - 220
Data Collection Survey on Traffic
for International Port and International Corridor
in Western Africa
Final Report
(Summary)
Decembre 2012
Japan International Cooperation Agency (JICA)
Yachiyo Engineering Co., Ltd. INGÉROSEC Corporation
Data Collection Survey on Traffic
for International Port and International Corridor
in Western Africa
Final Report
(Summary)
Decembre 2012
Japan International Cooperation Agency (JICA)
Yachiyo Engineering Co., Ltd. INGÉROSEC Corporation
Data Collection Survey on Traffic
for International Port and International Corridor
in Western Africa
Final Report
(Summary)
Decembre 2012
Japan International Cooperation Agency (JICA)
Yachiyo Engineering Co., Ltd. INGÉROSEC Co.
Data Collection Survey on Traffic
for International Port and International Corridor
in Western Africa
Final Report
(Summary)
Decembre 2012
Japan International Cooperation Agency (JICA)
Yachiyo Engineering Co., Ltd.
Data Collection Survey on Traffic
for International Port and International Corridor
in Western Africa
Final Report
(Summary)
Decembre 2012
Japan International Cooperation Agency (JICA)
Yachiyo Engineering Co., Ltd. INGÉROSEC Co.
Data Collection Survey on Traffic
for International Port and International Corridor
in Western Africa
Final Report
(Summary)
Decembre 2012
Japan International Cooperation Agency (JICA)
Yachiyo Engineering Co., Ltd.
1 表
INGÉROSEC Corporation INGÉROSEC Corporation
1
2
Exchange Rates:June 2012 US1.00$ =531.5 Franc CFA US1.00$ = ¥78.7
2
Exchange Rates:June 2012 US1.00$ =531.5 Franc CFA US1.00$ = ¥78.7
1 裏2
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
1
Data Collection Survey on Traffic for International Port
and International Corridor in Western Africa
(Summary)
Table of Contents
Survey Country/Site photos
List of figure and Table
Abbreviation
Table of Contents
Chapter 1 OVERVIEW OF SURVEY ....................................................................................... 1
1.1 Objective of Survey .............................................................................................................. 1
1.2 Survey Area .......................................................................................................................... 1
1.3 Survey Description ............................................................................................................... 1
Chapter 2 SOCIOECONOMIC SITUATION ........................................................................... 3
2.1 Population ............................................................................................................................ 3
2.2 Economy .............................................................................................................................. 3
2.3 Situation of Exports and Imports ......................................................................................... 4
Chapter 3 CURRENT STATUS OF INTERNATIONAL CORRIDORS ................................ 8
3.1 Current Status of Road ......................................................................................................... 8
3.2 Current Status of Railroads ................................................................................................ 12
Chapter 4 CURRENT STATUS OF DISTRIBUTION NODES ............................................ 16
4.1 Current Status of Port ......................................................................................................... 16
4.2 Dry Port / Inland Depots .................................................................................................... 18
4.3 Border Customs .................................................................................................................. 19
Chapter 5 ANALYSIS OF CURRENT TRAFFIC .................................................................. 20
5.1 Description of Survey ........................................................................................................ 20
5.2 Result of Traffic Surveys .................................................................................................... 21
5.3 Analysis of Present Traffic Flow ........................................................................................ 22
Chapter 6 FUTURE TRAFFIC DEMAND FORECAST ....................................................... 31
6.1 Basic Idea for Future Traffic Demand Forecast ................................................................. 31
6.2 Socio-Economic Frame Work ............................................................................................ 32
6.3 Future Traffic Demand Forecast ......................................................................................... 33
Chapter 7 ISSUES AND DIRECTION FOR PROMOTION OF ..............................................
IMPROVEMENT OF INTERNATIONAL CORRIDOR .............. 36
7.1 Importance of the International Corridors in the Social Development............................... 36
7.2 Issues for Transport Infrastructure and Direction for Future Improvement ....................... 37
3
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Pt. Cotonou
Pt. Lomé
Pt. Tema
Pt. Abidjan
Pt. Dakar
Survey Country
Road
network
Rail network
Port
Survey Country
•Republic
of Senegal
•Republic
of Mali
•Republic
of Burkina Faso
•Republic
of Niger
•Republic
of Cote d'Ivoire
•Republic
of Ghana
•Republic
of Togo
•Republic
of Ben
in
4
Road with pothole Bamfora-Niangoloko, Cote d'Ivoire
Road with pavement deterioration National Route 1 near the Sahel terminal, Togo
Unpaved section Cinkansé-Dapaong, Togo
Section under rehabilitation Bella-Gaya, Niger
Unpaved section in Coastal Road Near the Togo borde, Ghana
Paved section in Coastal Road Benin
Road Situation of the Study Area
5
Passing of freight train Cotonou, Benin
Road-railway combined bridge Cotonou, Benin
Departure of customs escort Ougarinter, Burkina Faso
Dry port Bobo Dioulasso, Burkina Faso
Waiting trucks to pass customs Gaya custom office, Niger
Waiting trucks to pass the checkpoint Tambacounda, Senegal
Land Transport Situation of the Study Area
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
1
List of figure and Table
List of figure
Figure 2-1 Population Density by Region and Population Distribution in Major Cities . 3
Figure 2-2 GDP per Capita (1991-2011) .............................................................................. 4
Figure 2-3 Changes in the Total Trade Volume in the Area (2000-2010) ......................... 4
Figure 2-4 Export Volume by Country (2007-2011) ............................................................ 5
Figure 2-5 Import Volume by Country (2007-2011) ............................................................ 5
Figure 2-6 Import-Export Volume Ratio by Country (2010) .............................................. 5
Figure 2-7 Transport Mode by Import-Export .................................................................... 6
Figure 2-8 Weight Share of Goods by Import-Export ......................................................... 7
Figure 3-1 UEMOA Community Road Network ................................................................. 8
Figure 3-2 Network of UEMOA Corridors .......................................................................... 9
Figure 3-3 Road Conditions of UEMOA Corridors (2011) ................................................. 11
Figure 3-4 Railroad network project .................................................................................. 15
Figure 4-1 Volume of port traffic ........................................................................................ 16
Figure 5-1 Survey point for Traffic Count /Roadside OD survey .................................... 20
Figure 5-2 Result of traffic count survey ........................................................................... 22
Figure 5-3 Flow to Prepare OD Tables .............................................................................. 23
Figure 5-4 Present passengers flow (‘000 peoples/year) ................................................... 25
Figure 5-5 Present freight flow (‘000ton/year) .................................................................. 25
Figure 5-6 Present Vehicle flow (Total of all type: veh./day)............................................ 26
Figure 5-7 Average Trip Length ......................................................................................... 26
Figure 5-8 Present vehicle flow by vehicle type (veh./day) .............................................. 27
Figure 5-9 Result of the present road traffic volume (All vehicles) ................................ 29
Figure 5-10 Heavy truck traffic volume O/D from 3 landlocked countries ..................... 29
Figure 5-11 Share of goods type ......................................................................................... 30
Figure 5-12 Share of transit freight .................................................................................. 30
Figure 6-1 Basic Idea for Future Traffic Demand Forecast ............................................. 31
Figure 6-2 Flow of future passengers demand (‘000 peoples/year) ............................... 34
Figure 6-3 Flow of future freight demand (‘000ton/year) .............................................. 34
Figure 6-4 Future traffic demand (All vehicles: veh. /day) ........................................... 35
Figure 6-5 Result of the future road traffic volume (All vehicles: veh. /day) ............... 35
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
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List of Table
Table 1-1 Survey description and Schedule ........................................................................ 1
Table 1-2 Survey Country pfofile ......................................................................................... 2
Table 3-1 List of UEMOA Corridors .................................................................................... 9
Table 3-2 Road Development Plans ................................................................................... 10
Table 3-3 Progress of road development under PACITR (as of 2010) .............................. 11
Table 3-4 List of Major Railroads in Operation ................................................................ 13
Table 3-5 Development Plan of Railroad ........................................................................... 14
Table 3-6 F/S for Railroad Development by UEMOA ....................................................... 15
Table 4-1 Current status of port facilities ......................................................................... 17
Table 4-2 Quality of Service at Port ................................................................................... 17
Table 4-3 Charge of port (20ft Container) ......................................................................... 18
Table 4-4 Charge of port (Bulk: rice sac) ........................................................................... 18
Table 4-5 List of Dry Port / Inland Depots ........................................................................ 19
Table 5-1 List of Survey Items ........................................................................................... 20
Table 5-2 List of OD Tables to Indicate Present Situation .............................................. 23
Table 6-1 Preconditions of Future Traffic Demand Forecast ........................................... 31
Table 6-2 Population Frame ............................................................................................... 32
Table 6-3 GDP Frame (Growth rate) ................................................................................. 32
Table 6-4 Future road traffic demand ............................................................................... 33
8
Abbreviation
AFD French Development Agency
AfDB African Development Bank
AICD Africa Infrastructure Country Diagnostic
ASYCUDA Automated SYstem for CUstoms DAta
ECOWAS Economic Community of West African States
EPZ Export processing zones
EU European Union
F/S Feasibility study
GDP Gross Domestic Product
JICA Japan International Cooperation Agency
NEPAD New Partnership for Africa's Development
OD Origin Destination
OSBP One Stop Border Post
PACITR UEMOA Road Transport Infrastructure Community Action Programme
PPP Public–private partnership
RECs Regional Economic Communities
SEZ Special economic zones
UEMOA West African Economic and Monetary Union
USAID United States Agency for International Development
WADB West African Development Bank
WB World Bank
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
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Chapter 1 OVERVIEW OF SURVEY
1.1 Objective of Survey The aim of the Survey is to carry out a current traffic survey on automobile-based
cross-border traffic in the West African region centered on the (WAEMU, hereinafter referred to
UEMOA; L'Union économique et monétaire ouest-africaine) zone in combination with an in-
terview survey involving relevant organizations, in order to identify problems in the transport
infrastructure of the region. In addition, traffic data acquired through the current traffic surveys
will be published as basic data to be used for promoting the development of transport infra-
structure in the future. It is expected that the data will be widely utilized by UEMOA, local
governments and international aid organizations.
1.2 Survey Area The Survey is conducted in a total of eight countries, i.e., the members of UEMOA (Republic
of Senegal, Republic of Mali, Republic of Burkina Faso, Republic of Niger, , Republic of Cote
d'Ivoire, Republic of Togo and Republic of Benin) and Republic of Ghana.
1.3 Survey Description In this Survey, the main task is to implement current traffic surveys and the following items
will be subject to the surveys. These surveys are composed of spot traffic volume surveys,
roadside OD surveys and OD surveys made at logistic nodes.
The field surveys were implemented from March to July 2012. In September 2012, a seminar
to report the survey results was held in Ouagadougou city of Burkina Faso, to which other do-
nors and local government officials participated.
Table 1‐1 Survey description and Schedule
No Survey item Duration
1 Preparation March 2012
2 Collection and analysis of basic data March‐July 2012
3 Implementation of current traffic and logistics facility survey
4 Current traffic flow analysis July‐September 2012
5 Future traffic demand forecast September‐October 2012
6 Holding of seminar 24 September 2012
7 Final report (English and French version) October‐November 2012
Source: JICA Study team
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
2
Unit
Benin
Burkina Faso
Cote d'Ivoir
Ghana
Mali
Niger
Senegal
Togo
Area
㎢112,620
274,000
322,460
238,540
1,240,190
1,267,000
196,720
56,790
Population
million hab
8.8
16.5
19.7
24.4
15.4
15.5
12.4
6
Population growth
%2.8
32
2.4
3.1
3.5
2.7
2.1
Population density
hab./㎢
8059
67
102
11
13
65
119
Urban population
%42.5
26.5
51.3
52.2
36.6
17.2
42.7
44.1
Life expectancy
years
6155.4
55.4
64.2
51.4
54.7
59.3
57.1
Literacy
%41.7
28.7
55.3
66.6
26.2
28.7
49.7
56.9
HDI
0.427
0.331
0.4
0.541
0.359
0.295
0.459
0.435
rank
167 / 187
181 / 187
170 / 187
135
/ 187
175 / 187
186 / 187
155 / 187
162 / 187
Languages
French(official),
Fon,
Goun,
Mina,
Yoruba,
Dendi,
Bariba…
French(official),
Moore,
Dioula,
Fulani,
Tamacheq…
French(official),
Dioula,
Baoule,
Bete,
Senoufo…
English(official),
Gha,
Twi,
Ewe,
Fante…
French(official.),
Bambara,
Senoufo,
Fulani,
Soninke,
Tamasheq,
Songhai,
Dogon…
French(official),
Haoussa,
Djerm
a,
Fulani,
Tamacheq,
Kanouri…
French,
Wolof,
Peul‐toucouler,
Serere,
Diola…
French(official),
Ewe,
Kabie…
Settlement
Fons,
Adjas,
Peuls,
Yorubas,
Sombas…
Mossis,
Mandes,
Peuls,
Bobos…
Senoufos,
Dans,
Agris,
Betes,
Baoules,
Dioulas,
Malinkes…
Akans,
Dagombas,
Gourm
antches,
Ashantis,
Akw
apims,
Krobos…
Bambaras,
Peuls,
Dogons,
Bozos,
Touaregs,
Songhais…
Haoussas,
Djerm
as,
Foulas,
Touaregs,
Kanouris…
Wolofs,
Toucouleurs,
Peuls,
Sereres,
Diolas,
Mandingues…
Ewes,
Kabies,
Minas…
Religions
Animism,
Christianity,
Islam
Animism,
Islam,
Christianity
Christianity,
Islam
Islam,
Animism,
Christianity
Islam
Islam,
Animism
Islam,
Christianity,
Animism
Animism,
Christianity,
Islam
Currency
Franc CFA
Franc CFA
Franc CFA
Cedi
Franc CFA
Franc CFA
Franc CFA
Franc CFA
Parity in
the first janv.2012
1€(F CFA)
655.96
655.96
655.96
2.10(cedi)
655.96
655.96
655.96
655.96
1$(F CFA)
496.63
496.63
496.63
1.62(cedi)
496.63
496.63
496.63
496.63
GDP per capita
$756
670
1049
1588
796
428
1096
496.63
Distribution of GDP (primary)
%35.9
35.2
25
32
39
44
17
47.5
Distribution of GDP (secondary)
%14.5
23.8
25
19
21
16.1
22
17.8
Distribution of GDP (tertiary)
%49.6
41
50
49
40
39.9
61
34.7
GDP 2011
in billions of dollars,
current prices
7.5
10.1
23.8
38.6
11
6.5
14.7
3.6
Rate of growth 2011
in %, constant prices
3.8
4.9
‐5.8
13.5
5.3
5.5
43.8
Inflation
%2.1
0.9
2.7
81.4
3.4
1.2
5.3
Foreign direct investment
million $
111
37
418
2.5(billion /$)
148
947
237
41
Exports
billion $
1.2
1.3
10.3
7.9
2.4
930(m
illions / $)
2.2
800(m
illions / $)
Imports
billion $
2.2
27.8
10.7
2.9
2.2
4.8
1.6
Key Resources
cotton(80% of export
earnings),
fish
cotton,
livestock,
gold,
sugarcane
cacao,
cotton,
coffee
gold,
diamond,
cacao,
tourism
gold,
cotton
uranium,
carbon,
gold,
livestock,
agriculture(cereals)
phosphates,
peanuts,
cotton,
cereals,
tourism
phosphates,
cotton,
coffee,
cacao
Human Development Index
Table 1‐2 Survey Country pfofile
Source: JICA Study team
11
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
3
Chapter 2 SOCIOECONOMIC SITUATION 2.1 Population
The total population of each country increased uniformly. The total population of the survey
countries area reached about 120 million in 2011. The total population has increased 2.7 % on
average per annum in recent 5 years. When we look at the population distribution, the popula-
tion accumulation is high on the coast, mainly in port areas. In each country, the population ac-
cumulation is remarkable in the capital cities and port cities as centers of economy.
Source: JICA Study team based on Statistical data of each country
Figure 2‐1 Population Density by Region and Population Distribution in Major Cities
2.2 Economy The US dollar based nominal GDP (Gross domestic product, current prices) hovered at a lev-
el of 40 billion dollars between 1990 and 2002, but it jumped to an economic scale of about 2.9
times between 2002 and 2011. By share of each country in 2011, Ghana had the greatest scale
of 33 %, followed by Cote d’Ivoire (21 %) and Senegal (13 %). When looking at the real eco-
nomic growth for the last 5 years, it is found that these countries have been growing at an aver-
age rate of around 4 %.
The GDP per capita continued to grow in the 21st century. It grew more than 3 times between
2000 and 2011. There is, however, a gap in the growth rate between the top 3 growing countries
of Ghana, Cote d’Ivoire and Senegal and other countries.
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Pt.Lome
Pt.Tema
Pt.Lagos
Pt.Dakar
Pt.Banjul
Pt.Conakry
Pt.Abidjan
Pt.Cotonou
Pt.Freetown
Pt.Monrovia
Pt.TakoradiPt.San Pedro
Lome
Accra
Dakar
Abuja
Banjul
Bissau
Niamey
Bamako
Conakry
Freetown
MonroviaPorto-Novo
Nouakchott
Ouagadougou
Yamoussoukro
Togo
Mali
Ghana
Benin
Niger
Guinea
Gambia
Senegal
Nigeria
Liberia
Mauritania
Burkina Faso
Cote d'Ivoire
Guinea-Bissau
Sierra Leone
Pop.(million) Density(km2)
‐ 50
50 ‐
100 ‐
150 ‐
200 ‐
0.15‐
0.50‐
1.00‐
2.00‐
4.00‐
12
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
4
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
US$Ghana
Cote d'Ivoire
Senegal
Benin
Mali
Burkina Faso
Togo
Niger
0
10
20
30
40
50
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
unit:‘000 tonnes
Importation
Exportation
Source: JICA Study Team based on statistical data of each country
Figure 2‐2 GDP per Capita (1991‐2011)
2.3 Situation of Exports and Imports The imports and exports in the area remained sluggish temporarily due to the civil war in
Cote d’Ivoire in 2002 but are increasing thereafter. Between 2000 and 2010, the export grew 1.3
times and the import grew 1.7 times.
Source: JICA Study Team based on statistical data of each country
Figure 2‐3 Changes in the Total Trade Volume in the Area (2000‐2010)
By country, Cote d’Ivoire had the largest amount of export but it is decreasing in recent years
due to political instability. This is followed by Ghana and Senegal, which had large amount of
exports and experienced increase. The amounts of export from the 3 landlocked countries are
relatively small but increasing. In imports, the amount is the largest in Ghana, or 39 % of the
total, followed by the Republic of Cote d’Ivoire (19 %) and Senegal (13 %).
When we compare the total import and export, the import stood at 66 % and the export stood
at 34 %, indicating that the import is twice as much as the export. By country, the 3 landlocked
countries had the remarkable trade deficit. The rate of import was 91 % in Mali, 83 % in
Burkina Faso, and 90 % in Niger.
unit: million tonnes
13
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
5
60%
91%83% 90%
51%
73%
47%
75%66%
40%
9%17% 10%
49%
27%
53%
25%34%
0%
20%
40%
60%
80%
100%
Senegal Mali BurkinaFaso
Niger Coted'Ivoire
Ghana Togo Benin Total
Exportation
Importation
Source: JICA Study Team based on statistical data of each country
Figure 2‐4 Export Volume by Country (2007‐2011)
Source: JICA Study Team based on statistical data of each country
Figure 2‐5 Import Volume by Country (2007‐2011)
Source: JICA Study Team based on statistical data of each country
Figure 2‐6 Import‐Export Volume Ratio by Country (2010)
02468
101214161820
Senegal Mali BurkinaFaso
Niger Coted'Ivoire
Ghana Togo Benin
unit:‘000 tonnes2007
2008
2009
2010
2011
02468
101214161820
Senegal Mali BurkinaFaso
Niger Coted'Ivoire
Ghana Togo Benin
unit:‘000 tonnes2007
2008
2009
2010
2011
Unit: million tonnes
Unit: million tonnes
14
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
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Figure 2-7 shows the ransport mode by import-export. When looking at the transport means,
country-by-country, truck transportation is the means used most in landlocked countries be-
cause of their geographical conditions. On the other hand, maritime transport is the most used
transport means in coastal countries.
Source: JICA Study Team based on customs data
Figure 2‐7 Transport Mode by Import‐Export
Figure 2-8 shows imports and exports by weight for each item of goods. In imports, mineral
substances and oils including gasoline account for 40-60 % of the total. Following this are
agri-cultural products and processed food. These 3 items of goods account for about 80 % of
the total, which can be said characteristic of the survey area.
Meanwhile, in exports, we cannot find any characteristic trait in the survey area. In coastal
countries, mineral substances and oils are exported in a large volume, while in 3 landlocked
countries, agricultural products are mainly exported. In particular, it is characteristic that cotton
is a main export product in Burkina Faso, Mali and Benin. In Niger, agricultural products ac-
count for 90 % of its exports.
15
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
7
Source: JICA Study Team based on customs data
Figure 2‐8 Weight Share of Goods by Import‐Export
Each country has both the population and economic scale growing. In particular, the
past decade showed the upward trend for the economic growth.
As populations grow, movement of people and goods between cities and rural areas in
each country will also increase as well as cross-border traffic.
Policies for economic development of each country have shifted from poverty reduction
to economic acceleration. The industrial development has been positioned as a top pri-
ority in each country. The governments believe that the development of infrastructure is
necessary for carrying out development of the industry. In particular, the development of
major roads is very important elements to advance the plan.
Though economic disparity is observed between coastal and landlocked countries, the
issue to overcome here is whether the port cities having the large economic scale can
lead the regional economy and bring the propagation effects to the inland area.
16
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
8
Chapter 3 CURRENT STATUS OF INTERNATIONAL CORRIDORS
3.1 Current Status of Road
3.1.1 The UEMOA Road Development Plan (PACITR)
In 2001, UEMOA adopted an action plan, the Community Roads of UEMOA Infrastructure
and Transport Action programme (PACITR), for infrastructure and road transportation for
“harmonization of strategies related to transportation in each country and infrastructure devel-
opment through an integrated program in the community.” Major roads in the UEMOA Zone
are developed according to this action plan.
In the plan, roads with a total length of about 12,800km will be constructed and they will be
composed of international corridors and domestic arterial roads. The networks and the route list
of these roads are shown below.
Source: UEMOA
Figure 3‐1 UEMOA Community Road Network
UEMOA selected 11 routes as UEMOA Corridors at the UEMOA Summit Meeting in 2009
(Decision N°39/2009/CM/UEMOA). Thereafter Corridor 7 was divided into two routes. An-
other corridor was subsequently added to connect Tema Port to the landlocked countries.
UEMOA Corridors, which are international corridors, have been assigned the highest priority in
the UEMOA road plans under PACITR.
17
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
9
Source: UEMOA
Figure 3‐2 Network of UEMOA Corridors
Table 3‐1 List of UEMOA Corridors
Corridor 1 Abidjan ‐ Yamoussoukro ‐ Ferkéssedougou ‐ La Léraba ‐ Ouagadougou ‐ Kantchari ‐ Makalondi ‐ Niamey
Corridor 2 Abidjan ‐ Yamoussoukuro ‐ Ferkéssedougou ‐ Zegoua ‐ Sikasso ‐ Bougouni ‐ Bamako
Corridor 3 Cotonou ‐ Malanville ‐ Niamey ‐ Gao
Corridor 4 Cotonou ‐ Tindangou ‐ Ouagadougou ‐ Hérémankono ‐ Bamako
Corridor 5 Lomé ‐ Cinkansé ‐ Koupéla ‐ Kantchari ‐ Makalondi ‐ Niamey ‐ Gao
Corridor 6 Lomé ‐ Cinkansé ‐ Ouagadougou ‐ Hérémankono ‐ Bamako
Corridor 7‐1 Dakar ‐ Kaolack ‐ Tambacounda ‐ Dibouli ‐ Kayes ‐ Bamako ‐ Hérémankono ‐ Ouagadougou ‐ Katchari ‐ Makalondji ‐ Niamey
Corridor 7 ‐2 Dakar – Kaolack – Tambacounda ‐Kédougou – Kita –Kati –Bamako – Hérémankono – Ouagadougou – Katchari – Makalondji – Niamey
Corridor 8 Dakar ‐ M’Pack ‐ Bissau
Corridor 9 Bissau ‐ Pirada ‐ Tambacounda ‐ Kédougou ‐ Kita ‐ Bamako
Corridor 10 San Pedro ‐ Odienné ‐ Bougouni ‐ Bamako
Corridor 11 Abidjan ‐ Bouna ‐ Gaoua ‐ Pa ‐ Ouagadougou – Niamey
Corridor 12 Téma – Kumasi – Tamale – Navrongo – Pô – Ouagadougou – Bobo Dioulasso – Sikasso – Bopugouni – Bamako
Source: JICA Study team
Corridor12
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Under PACITR, fundamental policies for arterial road management/maintenance and for
im-provement of transport efficiency are presented in addition to a basic policy for the devel-
opment of arterial roads, which is the most important policy in the program.
Table 3‐2 Road Development Plans
Basic plan Targets Contents
1 Development of
international
road
infrastructure
• Standardization of periodic
maintenance program for
inter‐member road net‐
work
• Standardization of paved
road levels
• Development of missing
links in the member states.
○ Priority 1:Paving of the roads connecting the capitals
of the member states, development of missing links,
improvement of road service
○ Priority 2:Periodic maintenance, and improvement of
roads connecting intra‐community cities, including the
alternative road connecting the capitals.
○ Priority 3: Interconnecting roads in the ECOWAS
countries and extension of road networks in the mem‐
ber states.
2 Improvement of
secondary roads
near borders and
branches
Road development to con‐
tribute to poverty reduction
in local
villages
○ Perform pilot projects in five border areas subject to
finance by the Fonds d’aide à l’intégration régionale
(FAIR 1). The project selection criteria are based on (1)
socioeconomic factors, (2) residents’ participation, (3)
environmental protection, and (4) regional integration.
3 Develop an in‐
formation system
for roads, trans‐
portation and
traffic safety, and
performance
indicators.
• Development of infor‐
mation systems in each
country to meet the de‐
mand.
• Information transmission
to be performed by the
UEMOA Secretariat and
each country.
○ Building systems for collecting, processing and manag‐
ing information on road networks in each country.
○ Building technical and monetary systems for monitor‐
ing and evaluation of maintenance works.
○ Updating legal systems pertaining to road transporta‐
tion and infrastructure.
○ System management shall be performed by the secre‐
tariat of UEMOA; links inserted in the home page of
UEMOA. Information covered by 3 road infrastructure
items, road transportation conditions and traffic safety
on the UEMOA home page
4 International
road transporta‐
tion and transit
facilitation
• Enhancement of competi‐
tiveness in the economy in
UEMOA zone by smooth
trading and removal of
non‐tariff barriers.
• Reduction of transporta‐
tion costs.
○ Removal of special permissions and checkpoints (re‐
frain from setting 2 or more checkpoints in each corri‐
dor in the future).
○ Each country to implement policing vehicles in order to
use standard vehicles in international transportation.
○ Obligate vehicles used to ship products to carry cus‐toms seal.
○ Promote freedom of international transportation and
transit in each country.
○ Develop provisions for smooth transportation and
smooth inspection escorting to the borders. The escort
shall be removed in the future.
5 Traffic safety • Standardization of trans‐
portation/traffic systems.
• Promote traffic safety
measures in member
countries.
○ Prepare common road maps and promote traffic safety
policies in each country.
○ Based on the response of each country, provide an UEMOA action plan. Collect traffic accident statistics,
implement traffic safety training programs, etc.
Source: JICA Study team
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3.1.2 Progress of Development
In 2010, evaluation of PACITR implementation was completed. As of 2001, it was planned to
improve a total road length of 12,817km. As of 2010, only 52 % of this target, or a total road
length of 6,721km had been improved.
Table 3‐3 Progress of road development under PACITR (as of 2010)
Plan (km) Done (km) Progress Implementation
by other projects
Total (Km)
Maintenance of paved roads 2,640 952 36 % 409 1,361
Road rehabilitation 4,843 2,743 57 % 652 3,395
Paving 4,811 3,026 63 % 708 3,734
Special program for Guinea‐Bissau 523 0 0 0 0
Total 12,817 6,721 52 % 1,769 8,490
Source: UEMOA
The UEMOA corridors have been already developed excluding corridors between Bamako
and San Pedro (UC10) and between Abidjan and Ouagadougou (UC11). Along existing corri-
dors, however, there still remain some sections in a significantly poor road condition. For ex-
ample, some have not been asphalt-paved and others have potholes. In particular, roadways
tend to be in a poor condition in areas far away from major cities, such as inland areas and areas
near borders.
"
"
"
"
"
"
"
)
)
)
)
)
)
)"
"
"
"
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)
)
)
)
!.
!.
!.
!.
!.
!.
!.!.
!.
!.
!.
!.
!.
!.
Pt.Lome
Pt.Tema
Pt.Lagos
Pt.Dakar
Pt.Banjul
Pt.Conakry
Pt.Abidjan
Pt.Cotonou
Pt.Freetown
Pt.Monrovia
Pt.TakoradiPt.San Pedro
Lome
Accra
Dakar
Banjul
Bissau
Niamey
Bamako
Conakry
Freetown
MonroviaPorto-Novo
Nouakchott
Ouagadougou
Yamoussoukro
Togo
Mali
Ghana
Benin
Niger
Guinea
Gambia
Senegal
Nigeri
Liberia
Mauritania
Burkina Faso
Cote d'Ivoire
Guinea-Bissau
Sierra Leone
Road Condition
Good
Fair
Poor
Under construction
Source: JICA Study team based on the hearing survey in each country Figure 3‐3 Road Conditions of UEMOA Corridors (2011)
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3.1.3 Summary of Current Status of Road
(1) Road network
The routes other than the Bamako-San Pedro Corridor and Ouaga-Abidjan (Ouest) Corridor
are asphalt-paved road networks, serving as international corridors. Despite of the road con-
struction has already been finished, the Dakar-Bamako (South) Corridor is currently not func-
tioning as an international corridor because a customs clearance service has not been estab-
lished. Also, there are multiple routes providing access from the landlocked countries to ports.
(2) Road condition
Although corridors currently in operation have already been improved through asphalt pav-
ing, we also find that many road sections are deteriorating greatly. Also, some road sections are
found to require large-scale rehabilitation. Specifically, there is a concern about road sections
that are badly maintained in inland areas or areas close to the border far from the capital.
When such large-scale rehabilitation works are required in such places as the border section
between Niamey and Benin, the work period hinders the traffic there to make traveling along
the road inefficient and unsafe.
Only international corridors currently in operation can connect countries and it is highly im-
portant to keep them as permanent logistic routes through appropriate management and
maintenance.
In addition, except for roadways around the capital’s suburban areas, the UEMOA road
maintenance standards (Caracteristique de construction et d’amenagement des routes commu-
nautaires) requiring roads to have at least a 7.00 m traffic lane width and a 1.50 m shoulder
width are not fully met.
3.2 Current Status of Railroads In the UEMOA region, railroads with a total length of over 3,000km have been developed.
Since these railroad facilities are in a very poor condition due to deterioration, they are not una-
ble to fully function. The following is the current status and major issues of their transport ca-
pacity, which was found through interview surveys with local governments and Railroad com-
panies.
3.2.1 Current Status of Development
Only bilateral networks can be found
Currently, Railroads that function as international corridors include the Dakar-Bamako rail-
road (TRANSRAIL) and the Abidjan-Ouagadougou railroad (SITARAIL). Although railroads
are in place in each of Togo, Benin and Ghana, they are used for domestic transport needs and
do not function as an international logistic mode.
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Deteriorated rail tracks and systems
Rail tracks are vulnerable and at the same time wide in variety. The tracks were laid down as
early as the 1920s to the 1970s and about 50 to 90 years have already passed. Railroad struc-
tures have aged significantly and are not in a condition to meet transport needs fully.
Their transport capacity is vulnerable because of deteriorated train cars and the poor capacity
of freight cars. In addition, it is difficult to procure spare parts when any malfunction occurs,
which results in a deteriorated capacity in operating rate. Inefficiency is also caused by the fact
it is difficult to standardize locomotive engines and freight cars that are wide in variety.
Transport needs are not met because freights are kept waiting at the ports of Dakar or Abidjan
where freight cars are scarce.
Low-speed traveling and frequent derailment
Because of deteriorated rail tracks, enough traveling speed is not gathered and derailment
occurs frequently, which means only a very low level of service is offered.
In the section between Dakar and Bamako, an average traveling speed of less than 20-km/h
can only be gained. In some sections, where there is a deteriorated bridge for example, the
speed limit is established at 10km/h. The average traveling speed along the Abid-
jan-Ouagadougou section is over 30km/h, which is a better than that of the Dakar-Bamako sec-
tion. The former, however, operates using a single track, which causes a concern because
freights are kept waiting for their turn to be transported. There are also safety issues, for exam-
ple, more than 100 derailment accidents occur annually (along the Dakar-Bamako section).
Table 3‐4 List of Major Railroads in Operation
Section Total length Operator Operational status Dakar ‐ Bamako (Senegal‐Mali)
1286 km(Total) ‐644 km(SG) ‐642 km(ML)
TRANSRAIL (Freight) 1 train/day *Target: 2 trains/day (Passenger) 3 trains/week
Abidjan‐Ouagadougou‐Kaya (Cote d’Ivoire‐BurkinaFaso)
1260 km(Total) ‐638 km(CI) ‐622 km(BF)
SITARAIL (Freight) 1 train/day *Target: 4 trains/day (Passenger) 3 trains/week *No operation between Ouaga‐dougou and Kaya
Takoradi‐Awaso(Ghana) 237km GRC (Ghana Railway company)
(Freight) 3‐4trains/week
Accra‐Nsawam/
Accra‐Tema (Ghana) 59km
(Passenger)3‐4trains/day
(no service on sunday)
Lomé‐Blitta (Togo)
276km (Only domestically in Togo)
Togo Rail (Only for freight)
(Freight)Railroad exclusive for phosphate rock transport
Cotonou‐Parakou (Benin)
438km (Only domestically in Benin)
OCBN (Only for freight)
(Freight)3 trains/week
Total 3260 km
Source: Based on the railroad strategy of UEMOA and the result of an interview survey.
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3.2.2 Vision for Development
Under UEMOA, the railroad development strategy (Etude pour l’elaboration d’une strategie
de developement du transport ferroviaire dans l’espace UEMOA in French) has been in place so
that rail-road development can be enhanced. In the strategy, the need for new rail tracks is indi-
cated as shown in the following table. Future plans call for a network connecting the capitals of
each country. Development utilizing private funds is sought, but achieving this in a short period
is considered difficult because of lack of profitability.
Table 3‐5 Development Plan of Railroad
Country Route length
1 Mali‐Cote d’Ivoire Bamako‐Sikasso‐Ouangolo 599km
2 Burkina Faso‐Niger Kaya‐Dori‐Niamey 551km
3 Togo ‐Burkina Faso Blitta-Fada Ngourina‐Ougadougou 783km
4 Niger‐Benin Niamey –Dosso‐Parakou 625km
5 Mali‐ Burkina Faso Sikasso‐Orodara‐Bobo Dioulasso 164km
6 Cote d’Ivoire‐Mali San Pedro‐Man‐Odiénné‐Bamako 900km
Total 3,622km
Source: Based on the railroad strategy of UEMOA
In the strategy, it is indicated that a total of 2,500-kiLométer of new tracks be developed as a
priority as shown in 1 to 4 in Table 3-5. The project size is expected to be 2,370 billion CFA
(approximately 380 billion yen) including systems. Meanwhile, prior to the development of
new tracks, it is necessary to rehabilitate existing tracks (3,300km) and the project scale is ex-
pected to be 1,080 billion CFA (approximately 170 billion yen).
It is targeted that the development of tracks will be promoted by utilizing private companies
in a PPP-based approach like SITARAIL. By considering the transport needs and investment
actually made in rehabilitation projects so far, significant efforts will be required to realize the
planned new track development.
Major donors involved in the development of corridors are UEMOA, AfDB and WADB. F/Ss
currently under consideration at the UEMOA headquarters will target the following 3 routes.
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
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Source: Based on the railroad strategy of UEMOA
Figure 3‐4 Railroad network project
Table 3‐6 F/S for Railroad Development by UEMOA
Route Contents
Dakar‐Bamako‐Ouagadougou Investigation is underway.
Dakar‐Burkina Faso Border: US Trade & Development Agency
Burkina Faso Border‐Ouagadougou: UEMOA Headquarters
Parakou – Niamey Parakou‐Dosso: Niger‐Benin are conducting survey.
Dosso–Niamey: UEMOA Headquarters is waiting for execution of a contract.
Abidjan ‐Niamey EU signed an implementation contract, but the study was temporarily halted
due to security problems in Cote d’Ivoire.
Source : JICA Study team based on information from UEMOA
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
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Chapter 4 CURRENT STATUS OF DISTRIBUTION NODES 4.1 Current Status of Port
4.1.1 Port Facility and Transaction Volumes
Coastal countries covered by this survey, such as Benin, Togo, Ghana, Cote d’Ivoire, and
Senegal have their own international ports. Each port is connected to a UEMOA corridor or a
railroad so that it can function as a gateway of the country or landlocked countries.
Data on transaction volume in 2010 indicates that the volume handled at Abidjan Port (Cote
d'Ivoire) was the largest at about 22 million tons. This port functions as a central port for the re-
gion.
The transaction volumes at the ports of Dakar and Tema have not substantially changed since
the beginning of 2000, which indicates that they are approaching their capacity limits.
The ports of Abidjan, Dakar, and Tema mainly handle freightes for their domestic markets.
Data on the ports of Lomé and Cotonou show transit freightes accounted for relatively high
shares of volume. More than half of the transaction volume at Cotonou Port is for transit. Since
the crisis in Cote d’Ivoire in 2002, the port of Lomé has been in charge of transit freight of
Burkina Faso and has steadily increased the volume of transit freight it handles. The port of
Cotonou has been in charge of transit freight which moves past Niger to the northern part of
Nigeria, and has steadily increased the volume of transit freight it handles.
Source : JICA Study team based on information from port authorities
Figure 4‐1 Volume of port traffic
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!.
!.
!.
!.
!.
!.
Pt.Lome
Pt.Tema
Pt.Lagos
Pt.Dakar
Pt.Banjul
Pt.Conakry
Pt.Abidjan
Pt.Cotonou
Pt.Freetown
Pt.Monrovia
Pt.TakoradiPt.San Pedro
Lome
Accra
Dakar
Banjul
Bissau
Niamey
Bamako
Conakry
Freetown
MonroviaPorto-Novo
Nouakchott
Ouagadougou
Yamoussoukro
Togo
Mali
Ghana
Benin
Niger
Guinea
Gambia
Senegal
Nigeria
Liberia
Mauritania
Burkina Faso
Cote d'Ivoire
Guinea-Bissau
Sierra Leone
Source : Création par l'équipe d'étude de JICA sur la base des données port autonomeTransship Transit Export Import
0
5
10
15
20
25
2007 2008 2009 2010
0
5
10
15
20
25
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0
5
10
15
20
25
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0
5
10
15
20
25
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
0
5
10
15
20
25
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
Port Dakar
Port Abidjan
Port Tema Port Lomé Port Cotonou
(Unit: million tonne)
Road networkRail networkPort
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
17
Table 4‐1 Current status of port facilities
Port Water depth of entrance chan‐
nel(m)
Water depth of Container berths (m)
Berths Container
gantry cranes Mobile harbor
cranes
Pt.Dakar 15.0 10.0 38(3) ‐ 3
Pt.Abidjan 10.4 12.5 44(5) 4 2
Pt.Tokoradi 11.5 ‐ 13 ‐ ‐
Pt.Tema 12.5 11.5 14(2) 3 30
Pt.Lomé 16.0 11.5 8(2) ‐ 6
Pt.Cotonou 12.0 10‐11 11(1) ‐ 1
*Inside ( ) is number of container berth Source : JICA Study team based on information from port authorities
4.1.2 Level of Service at Port
According to an interview survey conducted with shipping/storage businesses, the level of
service provided in terms of waiting time is not good at the port of Dakar, the port of Tema and
the port of Cotonou, as the times to wait are longer there. In relative terms, the service level,
however, is higher at the port of Abidjan and port of Lomé.
The port charge1 is relatively higher at the port of Abidjan than other ports, while it is low-
er than others at the port of Cotonou and the port of Lomé. It is partly why the higher volume of
transit freight of landlocked countries is handled at these 2 ports.
Table 4‐2 Quality of Service at Port
Container dwell
time(day)
Container vessel stay (hours)
Container vessel
pre‐berth waiting time(day)
General freight ves‐sel stay (hours)
General freight vessel
pre‐berth waiting
time(day)
Truck pro‐cessing time for receipt and delivery
of freight(hours)
Pt.Dakar 7 24 18 60 24 5.0
Pt.Abidjan 12 1 1 2.2 2.9 2.5
Pt.Tokorad 25 32 12.4 48 9.6 8.0
Pt.Tema 13 1 1 N/A N/A 4.0
Pt.Lomé 12 36 24 48 48 6.0
Source: JICA Study team based on AICD database
1 The port charge includes a total of payments to be made to public port corporations such as port use fees and freight weighing fees as well as to be made to crane operators for freight handling.
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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
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Table 4‐3 Charge of port (20ft Container) Unit: CFA
Port Terminal Charge Freight handling charge Total
Pt.Abidjan 21,200 186,000 207,200
Pt.Tema 9,400 76,500 85,900
Pt.Lomé 23,900 74,800 98,700
Pt.Cotonou 3,500 84,000 87,500
Source : JICA Study team based on information from port authorities
Table 4‐4 Charge of port (Bulk: rice sac)
Unit: CFA
Port Terminal Charge Freight handling charge Total
Pt.Abidjan 300 5,500 5,800
Pt.Tema 450 N/A N/A
Pt.Lomé 3,000 1,400 4,400
Pt.Cotonou 2,100 1,500 3,600
Source : JICA Study team based on information from port authorities
4.1.3 Potential of Port Development
The port of Abidjan, where modernization has been going on, has a strong competitive ad-
vantage as it has already large-sized port facilities as well as an industrial zone within the port
area. The port, therefore, is expected to continue to act as a hub port in the surrounding area in
the future, too. Among other ports, the port of Lomé has a large potential of development as it
has naturally good conditions such as a water depth as deep as 16 meters. At the port, currently,
the third container berth is under construction and it is apparently planning to establish itself as
a hub port for transit freight. In addition, 5 more berths to be used exclusively for containers are
currently planned in order to increase the volume of transshipment freight it handles. On the
other hand, in Benin where the port of Cotonou is located, there is a plan to accelerate the de-
velopment of the port of Sémé-Podji. It will be a port having 2 berths exclusive for containers
and it is expected to function to complement the port of Logos in the neighboring Nigeria where
transshipment freight and the economy are expected to grow significantly.
4.2 Dry Port / Inland Depots In transit transport connecting the inland and ports, dry ports located inland, border customs
houses, and bonded warehouses function as principal distribution terminals.
A dry port can function to facilitate customs clearance and bonded storage for transit freight
as well as it can act as a transit for freight shipped to any third country. They also contribute to
alleviating traffic congestion in urban areas and smooth transport of transit freight.
Due to a recent increase in the distribution flow, facilities are becoming cramped, and expan-
27
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
19
sion is being planned. Landlocked countries are planning new development of dry ports. At
present, the marine container utilization rate in transit transport is less than 20 %. In view of the
expected growth in demand, the necessity of container depots will increase.
At the terminal in Burkina Faso, the customs clearance process is completed within 1 or 2
days. Trucks have to wait in a queue for customs clearance, because issues on the user side such
as deficient documentation, and delay of customs by consignor cause increases in delays.
4.3 Border Customs At the border customs clearance, it is expected that time required to clear customs will be
decreased and trucks’ freedom of travel will be increased, through the development of OSBPs, a
more efficient customs clearance process and decreased need for a customs clearance service
(the shift to an alternative such as a tracking system). Time to clear customs required at the
border between Burkina Faso and Niger and coastal countries is usually from half a day to one
day. Some customs clearance offices do not operate on Saturdays, Sundays and holidays. Fresh
goods, however, are cleared preferentially as they are handled as specialty goods.
Table 4‐5 List of Dry Port / Inland Depots
Country Facilities Present status
Senegal Dakar Port Logistic Platform In operation
BURKINA FASO
Ougarinter (French name : La Gare routiere international de Ougadougou)
Planned to be expanded and moved
Dry port Bobo Dioulasso (French name : La Gare routiere international de Bobo‐Dioulasso)
Opened in 2011 with a side‐track in place
NIGER Dosso Dry port In the planning process
Niger River Right Bank Dry port in Niamey In the planning process
GHANA Boankra Dry Port In the planning process
TOGO Sahel Terminal Planned to be expanded
BENIN
Zongo Dry Port In operation
Allada Dry Port In operation
Parakou Dry Port In the planning process
*no information about Cote d’ivoir and Mali
Source : JICA Study team based on interview to Ministry of transport of each country
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Chapter 5 ANALYSIS OF CURRENT TRAFFIC 5.1 Description of Survey
5.1.1 Objective of Survey
The survey was consisted of the components shown in table 6-1, mainly there are traffic
count survey and Origin-Destination Survey (OD survey) on the on cross-border. The period of
survey was from mid April to mid June.
Table 5‐1 List of Survey Items
Figure 5‐1 Survey point for Traffic Count /Roadside OD survey
Classification Name Number of Days Time Locations Target Method Items
Survey
No.1
Traffic count
survey
3 weekdays
1 holiday24‐hour survey
Border Point:15points
Internal Point:6 points
Total: 21 locations
Spot traffic volume
(All vehicle types)
Counting
(Complete survey)
・Traffic volume on inbound and
outbound lanes
・Survey of vehicle types (passenger
cars, buses, small and large freight
vehicles and container vehicles)
・Survey unit: Aggregated every hour
Survey
No.2
Roadside OD
surveyAs above
16‐hour
survey
(6:00 to
22:00)
As above
Car drivers
(passenger cars and
freight vehicles)
Interview drivers on inbound and
outbound lanes and fill out
survey sheets.
(20% of samples)
・Origin/ Destination
・For passenger cars: Purpose of trip,
number of passengers
・For freight vehicles: Items carried,
load weight, maximum allowed load
Survey
No.3
Survey at
port gate
(OD survey)3 weekdays
1 holiday
16‐hour
survey
(6:00 to
22:00)
Senegal: Dakar Port
Cote D'Ivoire: Abaidjan Port
Ghana: Tema Port
Togo: Lome Port
Benin: Cotonou Port
Total: 5 ports
Freight vehicle drivers As above As above
Survey
No.4
Dry Port
Inland depot
survey (OD
survey)
1 weekday As aboveEntrances to terminals
Total: 5 locationsAs above As above As above
Survey
No.5
EPZ/SEZ
survey
(OD survey)
1 weekday As aboveEntrances to major EPZs/SEZs
Total: 5 locationsAs above As above As above
Source: JICA Study team
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5.2 Result of Traffic Surveys
5.2.1 Result of Traffic Count Survey
(1) Daily Traffic Volume
- The cross-border maximum traffic between landlocked countries and coastal countries is
roughly 994 (Point 11) vehicles per day. Senegal-Mali and Burkina Faso-coastal coun-
tries had cross-border traffic of 200-600 vehicles per day.
*Point 12 (Niger-Nigeria border) has more traffic than other points. It is thought that there are daily exchanges such as purchasing at markets on Sundays.
- In the cross-border traffic departing from and arriving in Burkina Faso, the traffic at the
border with Togo (Point 9) leading to the Port of Lomé is more than twice as much as
the traffic at the borders with other countries.
- In the cross-border traffic departing from and arriving in Niger (excluding Point 12
where regional traffic is great), the traffic at the border with Benin (Point 11) leading to
the Port of Cotonou is more than twice as much as that at the border with Burkina Faso
(Point 10).
- The cross-border traffic (Points 6 and 10) between landlocked countries is roughly 500
vehicles per day.
- In the cross-border traffic between coastal countries, Benin-Togo border (Point 19) was
the greatest at 2,752 vehicles per day. Next, the Cote-d’Ivoire-Ghana border (Point 14)
had 2,304 vehicles per day; the Togo-Ghana border (Point 18) had 1,174 vehicles per
day; and the Benin-Nigeria border (Point 21) had 715 vehicles per day.
- The traffic departing from and arriving in Senegal was low as compared to other points,
as the traffic other than the Mali border (Point 5) was less than 100 vehicles per day.
(2) Share of Types of Vehicles
- Large freight commercial vehicles accounted for 36 %-70 % of the cross-border traffic
of landlocked countries.
- The figure for large freight commercial vehicles was 68 % at the Mali-Senegal border,
59 % at the Burkina Faso-Ghana border; 54 % at the Burkina Faso-Togo border, and
54 % at the Burkina Faso-Niger border.
- In the cross-border traffic between coastal countries, the large freight commercial vehi-
cles ratio was high at 42 % at Ghana-Togo border, but 6 % at other points.
- Marine container vehicles accounted for 10 % or less on the whole.
30
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
22
Source : JICA Study team
Figure 5‐2 Result of traffic count survey
5.3 Analysis of Present Traffic Flow
5.3.1 Preparation of Present OD Tables
In analyzing traffic flows, data obtained from OD surveys were analyzed to prepare OD ta-
bles to indicate the present situation (2011). These OD tables were created by separately pre-
paring those for passengers and passenger vehicles and others for freight and freight vehicles.
(1) Zoning
These target eight countries are each divided into 2 zones (only Senegal is not divided and
has 1 zone). In addition, each of major ports was counted as one zone. Neighboring countries
were incorporated as appropriate. As the result, the survey area was divided into 27 zones in to-
tal.
31
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
23
(2) Preparation of OD Tables for Passengers and Passenger Vehicles
OD tables for passengers and passenger vehicles were prepared by expanding data obtained
from OD surveys and transforming them to data that can be obtained from spot traffic volume
surveys. In addition, annual average daily traffic (AADT) was established using data of actual
cross-border traffic via intercity bus operation.
(3) Preparation of OD Tables for Freight and Freight Vehicles
OD tables for freight and freight vehicles were prepared based on data obtained from OD
surveys and each country’s customs clearance data. Customs clearance data can indicate details
of how and how much freight flows throughout the year. By using the customs clearance data,
several adjustments were made on annual average daily traffic (AADT) and freight volume data
by item of goods as well as impact of the Cote d’Ivoire crisis (2010-2011) was eliminated. In
addition, empty vehicle rate of freight vehicles was obtained using results of roadside OD sur-
veys to incorporate the rate in OD tables for freight vehicles.
Source: JICA Study team
Figure 5‐3 Flow to Prepare OD Tables
(4) OD Tables Prepared
OD tables prepared are listed below.
Table 5‐2 List of OD Tables to Indicate Present Situation
year type unit contents
2011
Passengers OD people(trip)/year ‐
Freight OD ton/ year Main 10 goods, others
Vehicle OD veh./day Vehicle type(Passengers Car, Bus, Light truck, Hevy truck, Container truck)
Source: JICA Study team
OD survey result
Adjustment to AADT(Inter‐urban bus data)
OD survey result Customs data(2011)
Annual freight volumeDistribution volume by goods (Excluding the influence of Cote d'Ivoire confusion in 2010‐2011)
Share of Vehicle type
/Empty truck ratio
/Conversion to vehicle
Adjustment to AADT
Expansion adjustmentto the daily traffic
Traffic count survey result
Present OD Marix (By type, veh./day)
Passenger Demand (Passager Car,Bus) Freight Demand (Light , Heavy Truck)
Present OD Marix (By type, veh./day)
Present OD Marix (by goods, ton/year)
32
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
24
5.3.2 Present Traffic Flow
Based on OD tables to indicate present situation, present situation of traffic flow can be ana-
lyzed. OD distribution chart shown here indicates cross-border road traffic and traffic between
domestic zones (ex. traffic between 2 zones in Ghana) is not indicated. In the OD tables, how-
ever, domestic traffic volume between zones of a country is indicated.
(1) Result of Analysis
Flow of passengers
Flow of passengers is more prominent between coastal areas, particularly it is found that a
large number of passengers flow between southern Cote d’Ivoire where Abidjan is and southern
Ghana as well as southern Benin and southern Togo. Flow of passengers is relatively large be-
tween the southern zone of Cote d’Ivoire and landlocked countries.
By looking at flow between landlocked countries and coastal countries, it is clear that linkage
between neighboring zones across a border tends to be strong.
Flow of freight
Flow of freight is characteristic in that it is prominent between landlocked countries and ports
and between landlocked countries and coastal countries. Mali is strongly linked with Senegal
and Cote d’Ivoire. While, Burkina Faso has a particular strong linkage between Togo. Also it
can be seen that Niger is relatively strongly linked with Benin and Nigeria. On the other hand,
flow between landlocked countries is not large in volume.
Note) According to interviews conducted at the Niger Shippers Council and border customs, approximately half (48%) of
the freight that crosses the Niger-Benin border is transit freight from the Port of Cotonou bound for northern Nigeria. Howev-
er, this fact could not be corroborated from the current traffic surveys conducted in this study and the customs data obtained.
Therefore, all the freight that crosses the border concerned is treated as bound for Niger.
Flow of vehicle
Passenger cars’ flow in a large volume between coastal zones, particularly between southern
Cote d’Ivoire and southern Ghana and between southern Togo and southern Benin. In addition,
passenger cars’ flow is strong in landlocked countries, between neighboring inland areas across
a border. Flow of freight vehicles is large in volume between landlocked countries and ports or
areas where a port is located, due to a large volume of transit traffic. When comparing the av-
erage trip length, it is 512km for passenger vehicles and 940km for large-sized freight vehicles,
which indicates that the latter is about twice of the former.
33
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
25
Figure 5‐4 Present passengers flow (‘000 peoples/year)
Source: JICA Study team
Figure 5‐5 Present freight flow (‘000ton/year)
TogoTogoTogoTogoTogoTogoTogoTogoTogo
GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana
BeninBeninBeninBeninBeninBeninBeninBeninBenin
Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire
n_african_african_african_african_african_african_african_african_africa
Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso
SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal
GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea
MaliMaliMaliMal iMal iMaliMaliMaliMal i
nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa
NigerNigerNigerNigerNigerNigerNigerNigerNiger
NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa
000000000
TemaTemaTemaTemaTemaTemaTemaTemaTema
LomeLomeLomeLomeLomeLomeLomeLomeLome
AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan
DakarDakarDakarDakarDakarDakarDakarDakarDakar
CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou
San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi
486486486486486486486486486
118118118118118118118118118
31931
9319
319319
31931
9319
319
464646464646464646
222222222222222222337337337337337337337337337
10810810810810810 810 810 8108
584
584
584
584
58 4
584
584
58 4
584
364364364364364364364364364
11811811811811811 811 811 8118
949494949494949494
111111111111111111
41641641641641641641641
6416
841
8 41
8 41
84 1
841
841
841
841
841
179
179
179
179
179
179
179
179
179
182
182
182
182
182
182
182
182
182
3 33 33 333333 33 33 333
858585
8585
858585
85
379
379
379
379
379
37 9
379
379
379
16161616161 61 61 616
406
406
406
406
406
406
406
406
406
5 25 25 252
5252
525252
47
47
4747
4747
47
47
47
172
172
172
172
172
172
172
172
172
1548
1548
1548
1548
1548
1548
1548
1548
1548 10 62
10 6210 62106210621 0621 0621 0621062575757575757575757
35353535
3535
3535351 1
21 1
21 1
211
211
211
211
211
211
212121212
12121 21 212
34
34
3434
3434
34
34
34
141414141414141414
232323232323232323
289428942894289428942894289428942894 247247247247247247247247247
728728728728728728728728728
263263263263263263263263263
326326326326326326326326326
174917491749174917491749174917491749
12
12
1212
1212
12
1212
4459
4459
4459
4459
4459
4459
4459
4459
4459
11211211
2112112112112112112
Boarder Passengers Volume2011 (1000people/year)
5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500
Total Volume* : 21355
notice : Do not show less than 10
TogoTogoTogoTogoTogoTogoTogoTogoTogo
GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana
BeninBeninBeninBeninBeninBeninBeninBeninBenin
Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire
n_african_african_african_african_african_african_african_african_africa
Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso
SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal
GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea
MaliMaliMaliMal iMal iMaliMaliMaliMal i
nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa
NigerNigerNigerNigerNigerNigerNigerNigerNiger
NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa
000000000
TemaTemaTemaTemaTemaTemaTemaTemaTema
LomeLomeLomeLomeLomeLomeLomeLomeLome
AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan
DakarDakarDakarDakarDakarDakarDakarDakarDakar
CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou
San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi
221822182218221822182218221822182218 636363636363636363
451
451
451
451
451
451
451
451
451
207
207
20720
720720
720
7207207
747474747474747474
494949494949494949
262626262626262626137137137137137137137137137
262626262626262626
458
458
458
458
45 8
458
458
45 8
458
555555555555555555
7878787 87 87878787 8
110110110110110110110110110
182182182182182182182182182
161616161616161616
686868
6868
686868
68
45454545
4545454545
313131313131313131
520520520520520520520520520
688
688
688
688
688
688
688
688
688
505050505050505050
393939393939393939
66
6 66 666
6666
666666
25
25
2525
2525
25
2 525
156
156
156
156
156
156
156
156
156
2 12 12 121212 12 12 121
161616161616161616
303030
3030
30303030
878787878787878787
242424242424242424
22
222222
2 222
2 22 22 2
454545454545454545
103
103
1 03
103
103
103
103
1 03
103
290
290
290
290
290
290
29 0
290
290
49
49
49 49
4949
49
4949
202 02 0
2020
202020
20
13131313131 31 31 313
40404040
4040404040 245
245
245245
245245
245
24 5245
29
29
29 29
29 29
29
2929
262626262626262626
37
37
3737
3737
37
3737
149
149
149
149
149
149
149
149
149
34343434
3434
343434
70707070
7 070
70707 0
12121212
1212121212
22 6
226
22 6226
22622 6
226
22 6
226
242424242424242424
252525
2525
252525
25
19191919
1919
1 91 919
246246246246246246246246246
215215215215215215215215215
942942942942942942942942942
202020202020202020
35353535
3535
353535
111111111111111111
219
219
219219
2192 19
2 19
2 19
219
131313131313131313
Boarder Cargo Weight(1000ton/year)2011 All Category
2000 ~ 1600 ~ 20001200 ~ 1600800 ~ 1200400 ~ 800200 ~ 40010 ~ 200
Total Volume* : 12232
notice : Do not show less than 10
34
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
26
Source: JICA Study team
Figure 5‐6 Present Vehicle flow (Total of all type: veh./day)
Average Trip Length
Passanger car & Bus : 512km
Heavy Truck : 940km
Source: JICA Study team
Figure 5‐7 Average Trip Length
TogoTogoTogoTogoTogoTogoTogoTogoTogo
GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana
BeninBeninBeninBeninBeninBeninBeninBeninBenin
Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire
n_african_african_african_african_african_african_african_african_africa
Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso
SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal
GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea
MaliMaliMaliMal iMal iMaliMaliMaliMal i
nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa
NigerNigerNigerNigerNigerNigerNigerNigerNiger
NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa
000000000
TemaTemaTemaTemaTemaTemaTemaTemaTema
LomeLomeLomeLomeLomeLomeLomeLomeLome
AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan
DakarDakarDakarDakarDakarDakarDakarDakarDakar
CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou
San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi
464464464464464464464464464
171717171717171717
16716
716716716716716
716716
7
101
101
101
101
101
101
101
101
101
121212121212121212127127127127127127127127127
131313131313131313
1 33
1 33
1 3313
313 313
313
313 313
3
303030303030303030 2626262 62 62626262 6
111111111111111111
303030303030303030
13131313
1313131313
535353535353535353
646464646464646464
165165165165165165165165165
9 49 49 494
9494949494
6 46 46 464
6464
6 46 46493
93
93 93
9393
93
93
93
4 84 84 848484 84 84 848
292929292929292929
141414141414141414 141414141414141414
5050505 05 05050505 0
44444444
4444
444444
353535353535353535
1 01 01 010
1010101010 323
23232323232
32
32
204
204
204204
20420 4
20 4
20 4204
1041
1041
1041
1041
1041
1041
1041
1041
1041 771771771
7717717 717 717 71771
29
2929
2929
29
2929
29
4 8484848
4848484848
14141414
14141 41 414
76767676767676767620202020
20202 02 020
19 7
1 97
1 97
197
1 97
197
197
197
1 97
191919191919191919
299229922992299229922992299229922992 777777777777777777
696969696969696969
115115115115115115115115115
867867867867867867867867867
270270270270270270270270270
737373737373737373
18181818
1818
18181841
8541
8541
8541
8541
8541
8541
8541
8541
85
858585858585858585575575575575575575575575575
17171717171 71 71 717
Boarder All Vehicle Volume2011 (veh/day)AADT
5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500
Total Volume* : 15201
notice : Do not show less than 10
0%
10%
20%
30%
40%Vehi.Particulier&Bus
Camions lourds
Passanger car & Bus
Heavy Truck
35
Dat
a C
olle
ctio
n Su
rvey
on
Traf
fic fo
r In
tern
atio
nal P
ort
and
Inte
rnat
iona
l Cor
rido
r in
Wes
tern
Afr
ica
F
inal
Rep
ort
(Sum
mar
y)
27
Togo
Togo
Togo
Togo
Togo
Tog
oT
ogo
Tog
oTogo
Gha
na
Gha
na
Gha
na
Ghana
Ghana
Gha
na
Gha
na
Gha
na
Ghana
Ben
inB
enin
Ben
inB
eni
nB
eni
nB
eni
nB
eni
nB
eni
nB
eni
n
Cot
e d
'Ivoire
Cot
e d
'Ivoire
Cot
e d
'Ivoire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
n_a
fric
an_a
fric
an_a
fric
an_a
fric
an_a
fric
an_a
fric
an_a
fric
an_a
fric
an_a
fric
a
Bur
kina
Faso
Bur
kina
Faso
Bur
kina
Faso
Bur
kin
a F
aso
Bur
kin
a F
aso
Bur
kina
Fas
oB
urki
na
Fas
oB
urki
na
Fas
oB
urkin
a F
aso
Sene
gal
Sene
gal
Sene
gal
Sen
egal
Sen
egal
Sene
gal
Sene
gal
Sene
gal
Sen
egal
Gui
nea
Gui
nea
Gui
nea
Guin
ea
Guin
ea
Guin
ea
Guin
ea
Guin
ea
Guin
ea
Mali
Mali
Mali
Mal
iM
ali
Mali
Mali
Mali
Mal
i
nw
_afr
ica
nw
_afr
ica
nw
_afr
ica
nw_a
fric
anw
_afr
ica
nw
_afr
ica
nw
_afr
ica
nw
_afr
ica
nw_a
fric
a
Nig
er
Nig
er
Nig
er
Nig
er
Nig
er
Nig
er
Nig
er
Nig
er
Nig
er
Nig
eria
Nig
eria
Nig
eria
Nig
eri
aN
igeri
aNig
eri
aNig
eri
aNig
eri
aN
igeri
ase
_afr
ica
se_a
fric
ase
_afr
ica
se_a
fric
ase
_afr
ica
se_
afric
ase_
afric
ase_
afric
ase
_afr
ica
000000000
Tem
aTe
ma
Tem
aT
em
aT
em
aT
ema
Tem
aT
ema
Te
ma
Lom
eL
ome
Lom
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me
Lom
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me
Lom
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me
Lom
e
Ab
djan
Ab
djan
Ab
djan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Da
kar
Da
kar
Da
kar
Dak
ar
Dak
ar
Dak
ar
Dak
ar
Dak
ar
Dak
ar
Cot
ono
uC
oto
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Cot
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uC
oto
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Co
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oto
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u
San
-Ped
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San
-Ped
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an-P
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an-P
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n-P
edr
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n-P
edr
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n-P
edr
oS
an-P
edr
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akor
adi
Tak
orad
iT
akor
adi
Tak
ora
diT
ako
radi
Tako
rad
iTa
kora
di
Tako
rad
iT
ako
radi
178
178
1 78
178
178178
17 8
178
17 8
12412 41 241241 24124124
1 2412 4
61 61 6161 6161 61 6161
80
80
80808 080
80
80
80
242424242424242424
80
80
8080
8080 80 8080
30 30 3030 3030 30 3030
43 434343 4343 434343 35 353535 3535 353535
252525252525252525
141414141414141414
30303030 3030303030 18 18 1818 1818 18 1818
27 272727 2727 272727 108 108 108 108 108 108 108 108 108
929 929 929 929 929 929 929 929 929
752
752
7 52
752
7 52
75 2
752
752
75227 27 2727 272
7 27 272713 13 1313 1313 13 1313
6767 6767 676767 6767
14
14
1414
14141 41414
284
5284
5284
5284
5284
5284
5284
5284
5284
547
47
47
47
474747 4747
33 33 3333 3333
33
33
33
27 272727 2727 272727
362
362
362362
362
362
362
362
362
150
150
150
150
150
150
150
150
150
3943
3943
3943
3943
3943
3943
3943
3943
3943
75 75 7575 7575 75 757552
052
052
052
052
0520
520
520
520
Boa
rder
Pass
enge
r Car
Volu
me
2011
(veh/d
ay)
AA
DT
2000
~
1600
~ 2
000
1200
~ 1
600
800
~ 1
200
400
~
800
200
~
400
10 ~
20
0
Tota
l V
olu
me*
: 1
1025
noti
ce :
Do
not
show
less
than
10
Togo
Togo
Togo
Togo
Togo
Tog
oT
ogo
Tog
oTogo
Gha
na
Gha
na
Gha
na
Ghana
Ghana
Gha
na
Gha
na
Gha
na
Ghana
Ben
inB
enin
Ben
inB
eni
nB
eni
nB
eni
nB
eni
nB
eni
nB
eni
n
Cot
e d
'Ivoire
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e d
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e d
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ire
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d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
n_a
fric
an_a
fric
an_a
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an_a
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an_a
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egal
Sene
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Gui
nea
Gui
nea
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nea
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ea
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18
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22 22 222 22
25
25
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4 24242424242424242
15151 5151 515151 515999999999
1 01 01 01 01 0101 01 01 0
74
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35 35 3535 3535 35 3535
15 151515 1515 151515 15 151515 1515 151515
202020202020202020 868686868686868686888888888
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5555555552727 2727 272727 2727
555555555 12 121212 1212 121212
18181 8181 818
18
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29
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35 35 3535 3535
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23 232323 2323 232323
4040 4040 404040 4040
18
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109
109
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715
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7
9999 99999
49
49
4949 4949
49
49
49
Boa
rder
Bus
Vol
ume
201
1 (v
eh/da
y)A
AD
T
100
~
80 ~
100
60 ~
80
40 ~
60
20 ~
40
10 ~
20
1 ~
10
Tota
l V
olu
me*
: 1
194
noti
ce :
Do
not
show
less
than
1
Togo
Togo
Togo
Togo
Togo
Togo
Togo
Togo
Togo
Gha
na
Gha
na
Gha
na
Ghan
aG
han
aG
hana
Ghana
Ghana
Ghan
a
Benin
Benin
Benin
Benin
Benin
Ben
inB
enin
Ben
inBenin
Cote
d'Iv
oire
Cote
d'Iv
oire
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oire
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Cote
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oir
eC
ote
d'Iv
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ote
d'Iv
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ote
d'Ivoire
n_af
rica
n_af
rica
n_af
rica
n_afr
ica
n_afr
ica
n_a
fric
an_a
fric
an_a
fric
an_
afr
ica
Burk
ina F
aso
Burk
ina F
aso
Burk
ina F
aso
Burk
ina
Faso
Burk
ina
Faso
Burk
ina F
aso
Burk
ina F
aso
Burk
ina F
aso
Burk
ina
Faso
Sene
gal
Sene
gal
Sene
gal
Sen
egal
Sen
egal
Seneg
alS
eneg
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eneg
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enegal
Gui
nea
Gui
nea
Gui
nea
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ea
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ea
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ea
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iM
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ica
se_a
fric
ase
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ica
se_a
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ase
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se_a
fric
ase
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ica
000000000
Tem
aTe
ma
Tem
aT
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aT
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Tem
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a
Lom
eL
ome
Lom
eLo
me
Lom
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me
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me
Lom
e
Ab
djan
Ab
djan
Ab
djan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Da
kar
Da
kar
Da
kar
Dak
ar
Dak
ar
Dak
ar
Dak
ar
Dak
ar
Dak
ar
Cot
ono
uC
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otono
uC
oto
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Coto
nou
Coto
nou
Coto
nou
Coto
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San
-Ped
roS
an-P
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dro
Sa
n-Pe
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dro
Tak
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adi
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orad
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ako
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Tak
ora
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kora
di
Tako
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Tako
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Tak
ora
di
10
10
1010
1010101 010
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11 11 111 11
1 111 11 111
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5555 55555
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444444444
111111111
111111111
104 104 104 104 104 104 104 104 104
777777777
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170 170 170 170 170 170 170 170 170
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3 3 33 33 3 33
2222 22222111111111 92
92
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92
92
92
92
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5555 55555
888888888
73
73
7373 7373 73 7373
133
1 33
133
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1 33
133
1 33
66 66 666 66
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555555555
2222 22222
55555555517 17 1717 1717
17
17
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111111111
222222222
1 1 11 11 1 11
4 4 44 44 4 44
Boa
rder
Light
Tru
ck V
olu
me
2011
(veh/
day
)AAD
T
100
~
80
~ 1
00
60
~
80
40
~
60
20
~
40
10
~
20
1 ~
10
Tota
l V
olum
e* : 8
91
noti
ce
: Do n
ot
show
less
than
1
Togo
Togo
Togo
Togo
Togo
Tog
oT
ogo
Tog
oTogo
Gha
na
Gha
na
Gha
na
Ghana
Ghana
Gha
na
Gha
na
Gha
na
Ghana
Ben
inB
enin
Ben
inB
eni
nB
eni
nB
eni
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eni
nB
eni
nB
eni
n
Cot
e d
'Ivoire
Cot
e d
'Ivoire
Cot
e d
'Ivoire
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d'Ivo
ire
Cote
d'Ivo
ire
Cote
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Cote
d'Ivo
ire
Cote
d'Ivo
ire
Cote
d'Ivo
ire
n_a
fric
an_a
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an_a
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an_a
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an_a
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an_a
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an_a
fric
an_a
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egal
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egal
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gal
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gal
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gal
Sen
egal
Gui
nea
Gui
nea
Gui
nea
Guin
ea
Guin
ea
Guin
ea
Guin
ea
Guin
ea
Guin
ea
Mali
Mali
Mali
Mal
iM
ali
Mali
Mali
Mali
Mal
i
nw
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ica
nw
_afr
ica
nw
_afr
ica
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fric
anw
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ica
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_afr
ica
nw
_afr
ica
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_afr
ica
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a
Nig
er
Nig
er
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Nig
er
Nig
er
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er
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eria
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eria
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eria
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eri
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eri
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eri
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eri
aN
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ase
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ica
se_a
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ase
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ica
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ica
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afric
ase_
afric
ase_
afric
ase
_afr
ica
000000000
Tem
aTe
ma
Tem
aT
em
aT
em
aT
ema
Tem
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ema
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ma
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ome
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me
Lom
eLo
me
Lom
eLo
me
Lom
e
Ab
djan
Ab
djan
Ab
djan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Abd
jan
Da
kar
Da
kar
Da
kar
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ar
Dak
ar
Dak
ar
Dak
ar
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ar
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ar
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ono
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oto
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ono
uC
oto
nou
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tono
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oto
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ton
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oto
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tono
u
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-Ped
roS
an-P
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-Ped
roS
an-P
edr
oS
an-P
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n-P
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akor
adi
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orad
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akor
adi
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ora
diT
ako
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rad
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kora
di
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rad
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ako
radi
258
258
258
258
25 8258
258
25 8
258
77 77 777 77
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5 5 55 55 5 5522
22
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22
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11
11
11
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11
11
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777777777
13131313 1313131313
9 9 99 99 9 99
52
52
525 25 25 2525 252
64646 4646 464646 464
888888888
7777 77777
5555 55555
28 28 2828 2828 28 2828
42 424242 4242 424242
999999999
666666666
14
14
141 41 4141 41 41 4
888888888
484848484848484848
5555 55555
555555555
12121212 1212121212
6969 6969 696969 6969
777777777
282828282828282828
21 21 2121 2121 21 2121
22 222222 2222 222222
61 616161 6161 616161
1616 1616 161616 1616
65 656565 6565 656565
466
466
466466
466
466
466
466
466
22 22 2222 2222 22 2222
Boa
rder
Hea
vy T
ruck
Volu
me
201
1 (
veh
/da
y)A
AD
T
500
~
400
~ 5
00
300
~ 4
00
200
~ 3
00
100
~ 2
00
50 ~
100
5 ~
50
Tota
l V
olu
me*
: 2
092
noti
ce :
Do
not
show
less
than
5
Source : JICA Study team
Figure 5‐8 Present vehicle flow by vehicle type (veh
./day)
Passanger car
Bus
Light Truck
Heavy Truck
27
36
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
28
5.3.3 Present Traffic Assignment
Based on OD tables for vehicles already created, traffic volume was allocated along the present
international corridors to calculate present cross-border traffic volume. Traffic volume shown here
is cross-border traffic volume and presented in the form of annual average daily traffic (AADT).
(1) Present Traffic Volume (All Zones)
1) Cross-Border Traffic Volume
When looking at the entire target area, traffic volume along roads running from east to west in
coastal areas is as large as from 1,700 veh/day to 5,000 veh./day, which indicates traffic is busy
between coastal countries. Meanwhile, of corridors connecting landlocked countries and coastal
countries, traffic is the largest along the Ouagadougou-Lomé corridor (608 veh./day), followed by
the Dakar-Bamako corridor (568 veh./day).
2) Share of Goods Type
By the share of goods weight, the largest goods on the Ouagadougou-Lomé corridor is cements
as a construction material. On the other hand, the Ouagadougou-Cotonou corridor is used mainly to
transport fuels like gasoline. Apart from these corridors, the corridors of Tema and Abidjan are
used to transport a wide range of good.
3) Share of Transit Freight
The Dakar-Bamako corridor is used mainly as important route for trade between Senegal and
Mali. On the other hand, the transit traffic and country-to-country traffic are almost equal on the
Ouagadougou-Lomé and the Ouagadougou-Tema corridors. Based on this, it is considered that
UEMOA corridors are important not only for trade overseas such as Europe or Asian countries but
also for the transport country to country in UEMOA zone and Ghana.
(2) Heavy Truck Traffic Origin/Destination from 3 Landlocked Countries
The Dakar-Bamako corridor is found to have the largest freight truck traffic volume, followed
by the Ouagadougou-Lomé corridor and the Niamey-Cotonou corridor. Each of these corridors
functions as a main logistics route for Mali, Burkina Faso and Niger, respectively.
Traffic of freight trucks leaving and arriving at Burkina Faso is dispersed along a number of cor-
ridors such as the Abidjan route, Tema route, Lomé route and Cotonou route. Among these, the
Ouagadougou-Lomé corridor has the largest share in freight truck traffic. It can be said that serving
here as background is the fact that the Ouagadougou-Lomé corridor is competitive in terms of
transport costs and time distance. In addition, it is partly because freight trains have a larger share
in freight traffic to the port of Abidjan than freight vehicle traffic along roadways. It is also partly
because at the port of Tema, transit freight has a limited share as the port handles a larger volume
of domestic freight.
37
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
29
Figure 5‐9 Result of the present road traffic volume (All vehicles)
Figure 5‐10 Heavy truck traffic volume origin/destination from 3 landlocked countries Source : JICA Study team
38
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
30
Figure 5‐11 Share of goods type
*Inter-regional: Traffic country to country in this area, Transit: Traffic between landlocked country-Coastal country
Figure 5‐12 Share of transit freight Source : JICA Study team
05001,0001,5002,0002,5003,0003,5004,0004,5005,000
Legendother
HS72:Iron and Steel
HS52:Cotton
HS31:Fertilisers
HS27:Mineral Fuels
HS25:Salt; Sulphur and Cement
HS23:Residues and Waste
HS17:Sugars
HS12:Oil Seeds and Fruits
HS10:Cereals
HS7:Edible Vegetables
39
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
31
Chapter 6 FUTURE TRAFFIC DEMAND FORECAST
6.1 Basic Idea for Future Traffic Demand Forecast In this Survey, future OD tables are forecasted based on the OD tables to indicate present situa-
tion created through field traffic surveys, while an overview of future traffic demand for each cor-
ridor is calculated. Basic preconditions are shown in Table 6-1 below. Forecast of future traffic
demand was obtained based on these preconditions and using flows of passengers and freight
shown in Figure 6-1.
Table 6‐1 Preconditions of Future Traffic Demand Forecast
Items Preconditions Target year Future OD table (2022)Zoning 27 zones
Future road network The target road network is UEMOA corridors. It is presumed that current underdeveloped routes will be difficult to be in service by the year for forecast. Therefore, the current UEMOA corridors are used in the forecast.
Generation/Attraction model
The growth rate methodology is applied here. Since the traffic subject to the survey has the nature of cross‐border traffic, the regression model usually used for urban traffic surveys cannot offer a fully satisfactory explanation. And, the number of samples is limited.
Distribution model
The present pattern methodology is applied here. It is presumed that there is no major variables in road performance and duration needed to travel between zones and linkage of zones will not change (Business As Usual: BAU).
Assignment model
Route assinment. Routes connecting zones are limited and inter‐zone traffic is uniquely allocated to inter‐zone roads. In accordance with bilateral agreements, traffic bound to landlocked countries cannot cross over other coastal countries.
Share of vehicles In the year for forecast, share of vehicles and Railroads in traffic volume does not change. For share among vehicle types, the current share is applied.
Transport efficiency Conversion factor to vehicles is obtained based on the number of passengers and freight volume transported in a vehicle obtained from surveys.
Figure 6‐1 Basic Idea for Future Traffic Demand Forecast
Present OD pattern(Present OD Marix)
GDP Growth rate
(Population
/GDP per capita
Passenger Demand (Passager Car、Bus) Freight Demand (Light and Heavy Truck)
Growth rate of export /import
Traffic Assignment(Veh./day)
Vehicle Type shareAdjustment for AADT /Number of Vehicle
Present OD pattern(Present OD Marix)
*Customs data
Share of Vehicle TypeAdjustment to AADT /Number of Vehicle
Present trade volume(t/year)
Future freight OD Matrix (t/year)
Future Vehicules Distribution(Future OD Matrix Veh./day)
Future trade volume(t/year)
Present Generation/Attraction(Trip/year)
Future Generation/Attraction(Trip/year)
Future Generation/Attraction(Veh./day)
Future Vehicules Distribution(Future OD Matrix Veh./day)
Source: JICA Study team
40
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
32
6.2 Socio-Economic Frame Work In forecasting future traffic demand for passengers and freight, a socio-economic frame was set
up. Population, GDP and import/export volumes that are generally used in forecasting future traffic
demand are set up for the frame.
(1) Population
For the population frame, a frame established in each country was applied. For countries where
the population frame up until 2022 is not known, forecast was made by applying a logistic curve
created with actual data for 1990 and later. The population frame established is 160 million for
2022 (120 million for 2011).
Table 6‐2 Population Frame
Senegal Mali Burkina
Faso Niger
Cote
d'IvoireGhana Togo Benin Total
2011 12.9 15.8 16.2 15.7 20.1 25.0 6.4 9.1 121.2
2022 17.3 21.8 22.8 22.9 24.2 31.8 8.7 12.2 161.7
Source: Estimation by JICA Study team
(2) GDP
GDP here is based on the median estimates published in REP2 (Deuxieme phase du Programme
economique regional de l’UEMOA). For 2017 to 2022, the value of 2016 is applied. Meanwhile,
for GDP frame by country, linear regression analysis was made based on actual per capita GDP up
until 2011 to obtain future values up until 2022. By multiplying the values by already obtained fu-
ture population, GDP for each country was obtained. Furthermore, using GDP for the entire
UEMOA area as a control total, each country’s GDP was adjusted to obtain GDP for each zone
subject to forecast.
Table 6‐3 GDP Frame (Growth rate)
Senegal Mali
Burkina
Faso Niger
Cote
d'Ivoire Ghana Togo Benin
2012‐2017 6.6 % 7.0 % 7.8 % 7.3 % 4.3 % 4.3 % 6.1 % 6.4 %
2017‐2022 6.8 % 7.1 % 7.7 % 7.5 % 4.3 % 4.0 % 6.3 % 6.5 %
Source: Estimation by JICA Study team
(3) Import/Export Volumes (Weight Basis)
For import/export volumes, a future frame was obtained through linear regression analysis in
which country-by-country import/export volumes (weight basis) for the past five years were used.
Major items of goods used here are key 10 items selected when conducting analysis of present traf-
fic flow. In the volume totaling those of all items, exports are forecasted to grow by 1.63 times and
imports by 1.56 times.
41
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
33
6.3 Future Traffic Demand Forecast
6.3.1 Future Passenger Demand
According to the forecast, future cross-border passenger traffic demand (generated demand) will
be 40 million peoples/year, which is about 1.9 times the current figure. Examining concentrated
occurrence by country, Benin (16 millions peoples/year) and Cote d’Ivoire (13 millions peoples
/year) are the largest, followed by Togo (11 millions peoples/year).
6.3.2 Future Freight Demand
Future cross-border freight traffic demand (generated demand) will be 20 millions tons/year,
which is about 1.6 times the current figure. Looking at concentrated occurrence by country, Mali
(8.6 millions tons/year) is the largest, followed by Senegal (6.2 millions tons/year) and Burkina
Faso (5.0 millions tons/year).
6.3.3 Future Traffic Demand
Future cross-border traffic demand for all vehicles (2022) obtained based on demands for pas-
sengers and freight will be 27,330 veh./day, which represents about 1.8 times the current figure. In
the subject area, an increase in traffic volume is expected mainly in traffic between coastal coun-
tries. On the other hand, double the current growth rate is expected between inland countries and
coastal countries.
Table 6‐4 Future road traffic demand
From landlocked countries to
coastal countries
Between landlocked countries
Between coastal countries
Others Total
Present 4,720 341 9,980 177 15,218
Future (2022) 9,217 802 17,009 302 27,330
Increased volume 4,497 461 7,028 125 12,112
Rate of increase 2.0 2.4 1.7 1.7 1.8
1) There are 3 landlocked countries. They are Mali, Burkina Faso and Niger (OD zone: 2‐7).
2) The coastal countries include the Gulf of Guinea countries, which are Senegal, Nigeria and other countries in between
(OD zone: 1, 8‐17 and 21‐27).
Source: JICA survey team
6.3.4 Road Traffic Assignment
From the results of a process of traffic assignment among the UEMOA corridors, it is found that,
of corridors connecting landlocked countries and areas where a port is located, the Ouagadou-
gou-Lomé corridor will be the largest traffic volume, with 1,109 veh./day. It represents about 1.8
times of the present figure. Following this is the Niamey-Cotonou corridor, where the traffic will
be 1,075 veh./day. In future, road traffic volume will vary depending on the transport conditions of
ports and corridors.
42
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
34
Figure 6‐2 Flow of future passengers demand (‘000 peoples/year)
Figure 6‐3 Flow of future freight demand (‘000ton/year)
TogoTogoTogoTogoTogoTogoTogoTogoTogo
GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana
BeninBeninBeninBeninBeninBeninBeninBeninBenin
Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire
n_african_african_african_african_african_african_african_african_africa
Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso
SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal
GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea
MaliMaliMaliMal iMal iMaliMaliMaliMal i
nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa
NigerNigerNigerNigerNigerNigerNigerNigerNiger
NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa
000000000
TemaTemaTemaTemaTemaTemaTemaTemaTema
LomeLomeLomeLomeLomeLomeLomeLomeLome
AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan
DakarDakarDakarDakarDakarDakarDakarDakarDakar
CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou
San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi
101910191019101910191019101910191019
216216216216216216216216216
58458
458458458458458
458458
4
848484848484848484
525252525252525252804804804804804804804804804
24024024024024024 024 024 0240
107 7107 7
107 7
10 7 710 7 7
10 7710 77
10 77
10 7 7
659659659659659659659659659
2352352352 352 3523 523 523 52 35
195195195195195195195195195
21212121
2121
212121
102510251025102510251025102510
251025
1 747
1 747
1 747
1747
1747
1747
1747
1747
1747
366
3 66
3 66
36 6
366
36 6
3 66
3 66
366
373
373
373
373
373
3 73
373
3 73
373
7 57 57 575757 57 57 575
198198198198198198198198198
792
792
792
792
792
79 2
79 2
792
792
29292929292 92 92 92978
978
978
978
978
978
978
978
978
9
1 00
1 00
1 00
100
100
100
100
100
100
98
989898
9898
9898983 5
73 5
73573 5
735735
735
735 73 5
7
3212
3212
321
232
12
321
232
12
3212
321
232
12 21 5721 5721 57215721572 1572 1572 1572157108108108108108108108108108
73737373
7373
73737316161616
16161 61 616
233
233
233
233
233
233
233
233
233
27272727
27272 72 727
68
6 86 868
6868
686868
232323232323232323
37373737373737373711111111
1111
111111
446544654465446544654465446544654465 422422422422422422422422422
434434434434434434434434434
542542542542542542542542542
283128312831283128312831283128312831
22
22
2222
2222
22
2222
848 9
8489
8489
8489
8489
8489
8489
8489
8489
198198198198198198198198198
Boarder Passengers Volume2022 (1000people/year)
5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500
Total Volume* : 40304
notice : Do not show less than 10
TogoTogoTogoTogoTogoTogoTogoTogoTogo
GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana
BeninBeninBeninBeninBeninBeninBeninBeninBenin
Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire
n_african_african_african_african_african_african_african_african_africa
Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso
SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal
GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea
MaliMaliMaliMal iMal iMaliMaliMaliMal i
nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa
NigerNigerNigerNigerNigerNigerNigerNigerNiger
NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa
000000000
TemaTemaTemaTemaTemaTemaTemaTemaTema
LomeLomeLomeLomeLomeLomeLomeLomeLome
AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan
DakarDakarDakarDakarDakarDakarDakarDakarDakar
CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou
San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi
458945894589458945894589458945894589 158158158158158158158158158
141414141414141414
14141414141 41 41 414
83083
083083083083083
083083
0
364
364
364
364
364
364
364
364
364
10910910910910910910910
9109
808080808080808080
11111111
1111111111
434343434343434343248248248248248248248248248
101010101010101010
252525252525252525
302
3 02
3 0230 230 230 2
302
30 230
2
797979797979797979 8181818 18 18181818 1
222222222222222222222222222
367367367367367367367367367
21212121
2121
212121
989898989898989898
636363636363636363
434343434343434343
781781781781781781781781781
13251325132
51325132
513251325132
51325
757575757575757575
878787878787878787
5 75 75 757
5757575757
4 646
4 646
4646
46
4 646
281
281
281
281
281
2 81
281
2 81
281
2 62 62 626262 62 62 626
404040404040404040
727272
7272
72727272
175175175175175175175175175
434343434343434343
38383838
3 838
3 8383 8
808080808080808080
251
251
25125
125 125
125
125 1251
560
560
560
5605 6
056 0
560
560
5 60
141414141414141414
151515151515151515
123
123
123 12
31231 2
3123
123123
404 04 0
4040
40404040
11111111111 11 11 111
5555
55 55
55 55
55
5555
14141414141 41 41 414333333333333333333
71
71
7171
7171
71
7171
160
160
160
160
160
160
160
160
160 2 9
92 9
92 9
929
929
929
929
929
929
9
47474747
4747474747
87878787
8787
878787
19191919
1919191919
4 09
4 09
4 09
409
409
409
409
409
409
282828282828282828
4 54 54 54 54 54545454 5
730
730
730
730
730
7 30
730
7 30
730
163163163163163163163163163
256256256256256256256256256
109110911091109110911091109110911091
323232323232323232
212121212121212121
260
260
260260
260260
260
260
260
242424242424242424
Boarder Cargo Weight(1000ton/year)2022 All Category
5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500
Total Volume* : 20271
notice : Do not show less than 10
Source: JICA survey team
43
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
35
Figure 6‐4 Future traffic demand (All vehicles: veh. /day)
Figure 6‐5 Result of the future road traffic volume (All vehicles: veh. /day)
TogoTogoTogoTogoTogoTogoTogoTogoTogo
GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana
BeninBeninBeninBeninBeninBeninBeninBeninBenin
Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire
n_african_african_african_african_african_african_african_african_africa
Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso
SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal
GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea
MaliMaliMaliMal iMal iMaliMaliMaliMal i
nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa
NigerNigerNigerNigerNigerNigerNigerNigerNiger
NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa
000000000
TemaTemaTemaTemaTemaTemaTemaTemaTema
LomeLomeLomeLomeLomeLomeLomeLomeLome
AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan
DakarDakarDakarDakarDakarDakarDakarDakarDakar
CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou
San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi
959959959959959959959959959161616161616161616
313131313131313131
305
305305305
305305
305305305
179
179
179
179
179
179
179
179
179
111111111111111111
252525252525252525290290290290290290290290290
292929292929292929
165
1 65
1 6516 516 516 5
165
16 516
5
494949494949494949 4141414 14 14141414 1
222222222222222222
6 06 06 0606060606060
131313131313131313
101010101010101010
181818181818181818
121212121212121212
797979797979797979
12512
512512512512512
512512
5
121212121212121212
408408408408408408408408408
111111111111111111
1 59
1 59
1 59
159
159
159
159
159
159
129
1 29
1 29
129
129
12 9
129
129
129
180
180
180
180
180
1 80
180
1 80
180
1 041 0
41 0410 410 41 041 0
41 0410
4666666
6666
66666666
292929292929292929
11111111
1 111
1 11 11 1
242424242424242424
21212121
2121
2 12 121
9595959 59 59595959 5
919191919191919191
131313 13131 31 31313
6 5656565
6565656565
1 91 91 919
1919191919 6
767
6767
6767
67
67
67
3 79
3 79
3793 7
937937
937
937 93 7
9
2151
2151
2151
2151
2151
2151
2151
2151
2151
15 6615 6615 66156615661 5661 5661 5661566121212121212121212
555555555555555555
84848484
8484848484
29292929
2929
2 92 92915
715
715
715
715
715
715
715
715
744444444
4444
4 44 444
36 3
3 63
3 63
363
3 63
363
363
363
3 63
313131313131313131121212121212121212
455645564556455645564556455645564556 129129129129129129129129129
122122122122122122122122122
161161161161161161161161161
120712071207120712071207120712071207
437437437437437437437437437
107107107107107107107107107
30
303030
3030
30303079
4 679
4679
467946
79467946
7946
7946
7946
151151151151151151151151151
Boarder All Vehicle Volume2022 (veh/day)AADT
5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500
Total Volume* : 27302
notice : Do not show less than 10
Source: JICA survey team
44
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
36
Chapter 7 ISSUES AND DIRECTION FOR PROMOTION OF IMPROVEMENT OF INTERNATIONAL CORRIDOR
This study has revealed the current state of the cross-border traffic in the study area. The analy-
sis of the findings of the study has confirmed a large movement of people and goods between the
densely populated coastal countries where geographic distances between major cities are small.
Meanwhile, the Study Team has been able to confirm that most of the transport to and from the
three landlocked countries is with the countries with trading ports. The study has found a charac-
teristic that Lomé port Cotonou port which have limited volume of import and export freight
transport to and from them, in particular, handle a large portion of transit freight to and from the
landlocked countries. The study has also found that ca. half of the traffic volume on the interna-
tional corridors is that of large trucks and that the volumes of the transit freight and the freight
traded within the study area on the corridors are approximately the same.
The above-mentioned study results have proven the indispensability of the road infrastructure
which forms the international corridors as basic infrastructure which supports movement within the
area and composes part of the framework of the area. The landlocked countries which have to im-
port the majority of everyday goods can emphasize the importance of the international corridors as
major transport infrastructure, because they are the trading routes to the trading ports and gateways
to foreign countries, on which economic activities and development in the countries depend. If the
political and economic stability of the countries in the area is maintained in future, the volume of
traffic between the landlocked and coastal countries is expected to double in the next ten years. As
a consequence, the importance of the road infrastructure is expected to increase further. The fol-
lowing summarizes the tasks for the development of the study area and the improvement of the
transport infrastructure.
7.1 Importance of the International Corridors in the Social Development
(1) Promotion of the Integrated Improvement in the West Africa
The study results have revealed that the international corridors support transport of people and
goods not only within countries in which a corridor exists but also over a wider area. Therefore, an
integrated approach to their improvement and maintenance will have to be taken by all the coun-
tries in the area. The practical issue of the highest priority is finding a guaranteed source of funding,
which requires reform of the existing UEMOA Fund for appropriate sharing of financing among
the member countries and the increase in the amount of the fund.
(2) Increasing the Impact of the Synergy between the Landlocked and Coastal Countries
Integrated development of this area requires the viewpoint that the three economically advanced
countries (Côte d’Ivoire, Ghana and Senegal) with strong economies help the other countries in the
45
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
37
area, including the three landlocked countries, in their economic development. Therefore, there is a
need for the implementation of economic and industrial policies and regional development projects
that strengthen mutually complementary relationships between the landlocked and coastal coun-
tries, in addition to the improvement of the international corridors.
7.2 Issues for Transport Infrastructure and Direction for Future Improvement (1) Road Network
The UEMOA corridors are positioned as a critical infrastructure to support not only transit
transport in landlocked countries but also exchanges and trades between landlocked countries and
coastal countries. At present, the UEMOA Corridors which connect the landlocked countries and
the coastal countries are the only major highways connecting the countries in the area.
There are a number of poorly maintained sections along the corridors in landlocked areas of
coastal countries as well as cross-border areas, which is a bottleneck for logistics. Meanwhile, the
projection of the traffic demand suggests that two-lane roads will meet the demand for the next ten
years with the exception of urban areas.
Therefore, the cross section of the UEMOA standard two-lane road shall be used as the basic
road cross section in the future road construction and the pavement and bridges shall have to have
sufficient durability to withstand the expected increase in the traffic of heavy trucks. It is extremely
important to continue appropriate maintenance of the roads to ensure that they serve the function of
permanent physical distribution routes.
Measures to increase traffic capacity of certain sections of roads, such as construction of by-
passes, passing lanes and climbing lanes, shall be taken where such measures are required. Suffi-
cient right of way shall be reserved beside the roads so that appropriate measures can be taken
when the traffic demand has increased.
If the criterion that the importance of a corridor correlates with the volume of transit freight
transport on it is used, the priorities of the followings are high: Ouagadougou - Lomé and Niamey -
Cotonou Corridors with the long stretches of unpaved sections and serious degradation of the
pavement.
(2) Railroad Network
Although some of railroads have been in operation, there are issues such as degraded infrastruc-
ture and poor transport capacity. When compared with road transport, railroad transport has ad-
vantages including lower costs and higher safety. Since it is expected, however, reasonable costs
will be necessary to develop new and rehabilitate old railroad facilities, it is needed to work on
railroad development from the mid to long perspective, while promoting demands for freight
transport.
46
Data Collection Survey on Traffic for International Port and International Corridor in Western Africa Final Report (Summary)
38
(3) Ports
Ports play a role of core economic activities in landlocked countries as an import/export gateway
to those countries. As it is expected that demands will increase in the future, each port is promoting
its modernization efforts and expansion programs.
In transit freight transport to and from landlocked countries, considerations to realize smooth
access from ports to international corridors are required when developing infrastructure. In relation
to this, reviews should be made to install dry ports for more efficient customs clearance processes.
(4) Soft Infrastructure
Transport is unable to be efficient, since there are hindrances such as troublesome procedures at
the port or border, the issue of customs clearance escort and a number of checkpoints along the
corridors. It is significant to create an environment that can meet needs of road users who want
lower transport costs and shorter travel time.
(5) Promotion of the Creation of the Basic Data of Infrastructure
Measures are required for elucidating the current conditions in the area accurately and identify-
ing problems and tasks to be tackled. Such measures include regular implementation of both in-
ventory surveys of transport infrastructure and traffic flow surveys, whose results are to be used for
the formulation of effective programs and the maintenance of the infrastructure. The Study Team is
convinced that the results of this study will help implement these measures.
47