the potential role of ict options to enhance co-modality and decarbonise passenger transport in...
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The potential role of ICT options to enhance co-modality and decarbonise passenger transport in
Europe
Arno Schroten
CE Delft
The project is partially funded by the European Commission
www.optimismtransport.eu
OPTIMISM
OPTIMISM: Optimising Passenger Transport Information to Materialize Insights for Sustainable Mobility
Aim: Providing a set of strategies and policy measures for integrating and optimising (passenger) transport systems, particularly focussed on co-modality and ICT solutions for transport.
Four key objectives: Gather, analyse and harmonize the national travel data statistics Identify and classify the key factors/drivers defining passenger transport Analyse the impacts of ICT options enhancing co-modality, especially focussed on their
decarbonisation potential Develop recommendations on strategies and policy measures for the integration and
optimisation of the (passenger) transport system
www.optimismtransport.eu
OPTIMISM
OPTIMISM: Optimising Passenger Transport Information to Materialize Insights for Sustainable Mobility
Aim: Providing a set of strategies and policy measures for integrating and optimising (passenger) transport systems, particularly focussed on co-modality and ICT solutions for transport.
Four key objectives: Gather, analyse and harmonize the national travel data statistics Identify and classify the key factors/drivers defining passenger transport Analyse the impacts of ICT options enhancing co-modality, especially focussed on
their decarbonisation potential Develop recommendations on strategies and policy measures for the integration and
optimisation of the (passenger) transport system
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Overview of the presentation
Objectives of the analysis Scope of the analysis Identified ICT options and selected best practices Mobility impacts of best practices Decarbonisation potential of best practices Conclusions
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Objectives of the analysis
To provide an overview of ICT options enhancing co-modality
To identify best practices
To estimate the impacts of the best practices on mobility patterns
To estimate the EU-wide decarbonisation potential of the best practices
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Scope of the analysis
Co-modality: umbrella term for both multimodal and intermodal transport Multimodal transport refers to the use of different modes of transport at different
opportunities (e.g. trips) Intermodal transport refers to the use of different modes of transport within one route/trip
The following categories of ICT options enhancing co-modality are distinguished: Travel information services Mobility services Transport management services
Analysis is based on ICT options already implemented or options which are planned to be implemented in the near future (up to 2020)
Impacts are estimated for 2020 and 2030 Only passenger transport is considered
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Identified ICT options
Travel information services Static route planners Dynamic and real-time route planners Personalised travel information Infrastructure bounded travel information for public transport Infrastructure bounded travel information for road transport In-vehicle travel information
Mobility services E-ticketing Mobile phone ticketing Multimodal smart cards Mobile phone payments Bicycle sharing services Car sharing services Demand Responsive Transport systems
Transport management systems Public transport management systems General transport management systems
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Identified ICT options
Travel information services Static route planners Dynamic and real-time route planners Personalised travel information Infrastructure bounded travel information for public transport Infrastructure bounded travel information for road transport In-vehicle travel information
Mobility services E-ticketing Mobile phone ticketing Multimodal smart cards Mobile phone payments Bicycle sharing services Car sharing services Demand Responsive Transport systems
Transport management systems Public transport management systems General transport management systems
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Mobile payment devices
Mobility impacts: approach
Based on a thorough literature review (ex-ante and ex-post evaluation studies)
Empirical evidence is scarce (particularly for mobile payment devices)
Only evidence on modal shift effects, not on effects on total transport demand (rebound effects)
Additionally, data on long-term market penetration rates is gathered
Due to scarce data availability the analysis is carried out for just one ‘reference’ country
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Mobility impacts: results
Option Modal Shift From To
Market penetration rate
Reference Country
Personal travel information
Car: -3% to -11%
Bus: 78%Train: 22%
2020: 30%2030: 75%
UK
Bus: -2% Car: 90%Train: 10%
Car sharing schemes
Car: -2 to -2.5%
Bus: 90%Train: 10%
2020: 0,5%2030: 1 – 1.5%
Germany
Mobile payment devices
Car: -1 to -2.5%
Bus: 92%Train: 8%
2020: 40%2030: 100%
UK
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Decarbonisation potential: approach (1)
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Decarbonisation potential: approach (2)
Scaling country effects to EU-levelUse of an assignability factor:
Indicates which share of the effects for the reference country could be expected for other countries
Based on relevant country-specific indicators: GDP Urbanisation Modal share of public transport Etc.
For countries with a high assignability factor the CO2 reduction potential will be higher
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Decarbonisation potential: results (1)
ICT option 2020 2030
Personalised travel information
0.5 – 2% 1 – 4 %
Car sharing services 0.01% 0.01%
Mobile payment devices
0.2 – 0.5% 0.5 – 1%
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Decarbonisation potential of the various ICT options (% of passenger transport CO2 emissions in the BAU-scenario)
Conclusions
All three ICT options considered in this analysis significantly enhance co-modality
Particularly personalised travel information and mobile payment devices significantly contribute to the decarbonisation of the transport system However, rebound effects (impacts on total transport
demand) are not taken into account Empirical evidence on mobility impacts of these
options is rather scarce and hence the uncertainty in the estimates is rather large
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