Step by step introduction kick off
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Transcript of Step by step introduction kick off
10 April 2023
Step By Step
ERA-NET Transport III Kick Stepping Stones Program
Wim Korver
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Udo J. Becker
Lehrstuhl für Verkehrsökologie
Jeffrey Raymond Kenworthy
Professor in Sustainable Cities
Jasek Malasek
Transport researcher
Road and Bridge Research Institute
Helen Lindblom
Transport researcher
Wim Korver
Head R&D
Goudappel Group
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Content
• Background• Research questions• Base approach• Research Activities• Feedback on tendering and contracting
process
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Back
grou
nd
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Transport is a major CO2 producer
• Transport: 23% of energy related CO2 emissions
• Business as usual: transport share increases to 35%
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CO2 reduction: combination of (inter)national policy and local policy: the example Breda (medium sized city in NL)
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20
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1990 2010 2044 BUA 2044 Confirmed PolicyPackage
2044 Additional PolicyPackage
CO
2 E
mis
sio
ns
Public Transport
Passenger Car
Trucks
-40%
A substantial extra effort is needed to
reach CO2 reduction goals
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Background
• Transport will become in
Europe the major producer of CO2 emissions• Technology will help, but on a local/regional
scale more is needed: without behavioral change no sustainable mobility system
• A lot of initiatives: e.g. CIVITAS, Better Benutten (NL) and Forschungsprogramm Stadtverkehr (GE)
• Which behavioral intervention, that is the question?
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Rese
arch
Que
stio
ns
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Main Objective
• Stepping Stones:1.To understand the successful (policy) measures aimed at
making mobility patterns more sustainable and the underlying mechanisms (the how) including social & psychological factors.
2.The research results should be of common interest across Europe or in several regions.
• Step By Step:• Identifying potential successful policy measures for changing
the transport behavior of people based on structural differences between cities and cultures
What we know after the project is
completed
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Research questions Step By Step
1. Framework to make a distinction between structural and behavioral factors
2. Creating a pan-European database of mobility patterns and the environmental effects
3. Identifying major structural factors for differences in mobility patterns
4. Identifying major behavioral factors for influencing mobility behavior
5. Identifying potential successful policy measures
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Base Research Approach
A. Empirical based: the use of (urban) cases
B. Structural versus behavioral factors
Base
app
roac
h
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Empirical work based on approximately 30 cases _1Metropolitan region Case Code Country Type of Intervention
Car Sharing A1 NL Transport concept
Amsterdam West A2 NL Attitude
Amsterdam
Westpoort A3 NL Transport concept
Spitsscoren B1 NL Demand Rotterdam
Mobility Management B2 NL Demand
Lifestyle C1 NL Attitude Breda
Cargo Bike C2 NL Transport concept
Job Ticket D1 D Demand
Infineon D2 D Demand
Electric Busses D3 D Transport concept
Dresden
Commuter network D4 D Transport concept
Slow modes E1 D Transport concept Berlin
Car sharing E2 D Transport concept
New residents F1 D Attitude Munich
Increasing bicycle use F2 D Transport concept
Eco friendly license G1 D Demand Freiburg
Car free living area G2 D Attitude
Tübingen Mobility manager H1 D Demand
Congestion charges I1 S Demand Stockholm
MM for Kista business park & Galleria shopping centre
I2 S Demand
The West Swedish Solution J1 S Attitude Gothenburg
free pass for commuters J2 S Demand
No ridiculous car trips K1 S Attitude Malmö/Lund
Lundalänken K2 S Transport concept
P+R L1 PL Transport concept
Increasing bicycle use L2 PL Attitude
Warszaw
Bus lanes L3 PL Transport concept
Cracow City Bike M1 PL Transport concept
Wroclaw Integrated Cycling Policy N1 PL Attitude
Mobility data on metropolitan level
Behavioral knowledge based
on cases
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UK cases (2) will be
chosen later
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Empirical work based on approximately 30 cases _2
Distribution among countries
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NL GE SW PL UK
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Empirical work based on approximately 30 cases _ 3
Case Characteristics
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Attitude
Demand
Transport concept
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Structural versus behavioral factors _1
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Structural versus behavioral factors _2Cities with high densities have lower transport related emissions
CO2-emission of passenger mobility of inhabitants of Dutch municipalities (ton CO2 per year
Source: CO2 benchmark Goudappel Coffeng)
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Structural versus behavioral factors _3
• Transport behavior between cities (could) differ due to:• Density• City size • Demographic structure environmental taxation• Climate• Supply of transport• Geographic characteristics (hilly)• Economic welfare level• (Environmental) taxation• …..
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Structural versus behavioral factors _4
• We are not starting from scratch• Mobility data available for (international Database Kenworthy):
Berlin, Frankfurt, Hamburg, Munich, Zurich, Copenhagen, Helsinki, Oslo, Stockholm, London, Manchester, Stuttgart, Amsterdam, Rotterdam and Breda
• A lot of experience in the consortium with international comparative analyses
• Ambition to create:• Mobility indicators
• Environmental Indicators (CO2 emissions, PM10 and NOx)
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Structural versus behavioral factors _4
Behavioral analysis can become quite complex
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But our knowledge increases
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Structural versus behavioral factors _5
• Behavioral Analysis:• Framework of Caldini
• SUMO (System for
Evaluation of Mobility
Projects)
• New insights from
behavioral economics
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SUMO Analysis levels
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Rese
arch
Act
ivitie
s
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Planning