DSIT_Results-Based Planning and Monitoring for Inclusive Design in Transport

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Results-Based Planning and

Monitoring for Inclusive Design inTransport

September 12, 2014

Bernard WoodsSPD/SPRU



Agenda

1. Inclusive design

2. Results chain

3. Who is missing / not benefitting?4. Inclusion in the DMF

5. Indicators



Strategic Intent vs. Measurement

• Strategic intent is at the core of your design

• Results framework translates your strategicintent into a results chain

• Indicators measure achievement of strategicintent

If inclusion is not part of your strategic intent, just having indicators will not bring

inclusiveness



Results Chain – Simple Rule

Produced

Delivered

Used by

Beneficiary

Benefit

of Use

Output Outcome Impact

PeopleDesign



Transport


Produced

Delivered

Used by

Beneficiary

Benefit

of Use

Roads built/

upgraded

People /

goods travel

from A to B

Income,

education,

health, etc



Transport – what do we measure?


Produced

Delivered

Used by

Beneficiary

Benefit

of Use

Km of roads built/

upgraded

Average daily

passengers,

freight cost

Mortality rate,

Household income,

graduation

rate



Who is Missing?

Who is not using?

Who is not benefitting from use?



Airstrips builtFaster, affordable

travel Increased income

Inclusiveness: Project Level Benefits / Beneficiaries

Whose income

is increasing?

Who is

travelling?

Who can

access?




Who is missing – not using?



Who do we

miss by

countingaverage

daily

passengers?

What can you say about these users?



Transport - What we need to do at

the design stage?• Look at the needs of different user groups

– What do women need in terms of safety?

• Look at the barriers to use

– How do differently abled people access thesystem?

• Look at how different groups use the outputs

differently – Where do poorer people live? Where do they

need to go?



Design and Monitoring Framework

Design Summary Performance Targets and

Indicators with Baselines

Impact – 1 statement Multiple indicators

Outcome – 1

statement

Multiple indicators

Outputs – multiple

statements

Multiple indicators

Inclusion



Measurement of Inclusion

Deconstructing Indicators

Indicator Options



Number of

People traveling from farm to market

centers increases to 5,000/yr by 2018

(2013 Baseline: 2,000/yr)

Result (Change we want)

Indicator (How we will count it)

Targets & Baselines (How much increase

from where we are now, by when”)

Inclusion



What should we measure – People

Travelling?Who is travelling?

• Sex

• Age

• Income group

• Differently abled

• Marginalized group identity

• Location

• ?



How can we measure inclusion –

People Travelling?Number of

People traveling from farm to market


(2013 Baseline: 2,000/yr)

Number of

Poor/female/indigenous peopletraveling from farm to market




2 Indicator Options for included

group(s)• Inclusive result – Transport costs for poor women

reduced

1. Standalone indicator - # of poor women with reduced

transport costs…2. Component of indicator - # of women with reduced

transport costs…, of which half are poor…

• Disaggregated data - # (M/F) of people with reducedtransport costs… [no poor, no female target ]

• When counting people always sex-disaggregate



Output, Outcome and Impact

Indicators



Output Indicators

(Produced / Delivered)• Spatial Location

– % of urban rail stations serving predominantly

poor communities (placement)

– % of slum area within 5 km of an urban rail station

(coverage)

• Design

– % of urban rail stations with signage and accessfor people with disabilities



Output Indicators

(Produced / Delivered)• Component

– # of rail cars for women

• Participation

– % of construction jobs held by poor laborers



Outcome Indicators

(Direct Beneficiaries / Users)Ex. Passengers, drivers, owners of vehicles

and/or goods transported

• Measuring sustained use:

– Takes care of “access” and “affordability”

– “Access” often used as proxy measurement of use,but can be at output level

•

Measuring who is using: – Number and percentage who belong to “included”

groups



Impact Indicators

(Direct and Indirect Beneficiaries)• Direct beneficiaries: Secondary Effects

– Ex. Passengers, drivers, owners of goods

transported : Level of income increases…

• Indirect beneficiaries: Primary Effects

– Ex. Factory Workers: Level of employment of poor

worker increases…

– Ex. Farm Workers: Level of employment ofindigenous people on farms increases…



Review

• Inclusion as part of strategic intent, not after-thought

• Inclusion in DMF – mostly with outcome and

impact indicators

• Proper formulation of indicators

• Inclusion as standalone indicator or

component• Investigate data collection and determine

baseline



Thank You!

Questions? Comments?

[email protected]

DSIT_Results-Based Planning and Monitoring for Inclusive Design in Transport

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