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Evaluation of eco-driving systems: A European analysis with scenarios and micro simulation
TNO, Den Haag, The Netherlands.
Institute for Transport Studies, University of Leeds, United Kingdom.
TNO, Den Haag, The Netherlands.
VTI, SE-581 95 Linköping, Sweden.ORCID iD: 0000-0002-0336-6943
2018 (English)In: Case Studies on Transport Policy, ISSN 2213-624X, E-ISSN 2213-6258Article in journal (Refereed) Epub ahead of print
Abstract [en]

In recent years, various field operational tests (FOTs) have been carried out in the EU to measure the real-world impacts of Intelligent Transport Systems (ITS). A challenge arising from these FOTs is to scale up from the very localised effects measured in the tests to a much wider set of socio-economic impacts, for the purposes of policy evaluation. This can involve: projecting future take-up of the systems; scaling up to a wider geographical area – in some cases the whole EU; and estimating a range of economic, social and environmental impacts into the future. This article describes the evaluation conducted in the European project ‘ecoDriver’, which developed and tested a range of driver support systems for cars and commercial vehicles. The systems aimed to reduce CO2 emissions and energy consumption by encouraging the adoption of green driving behaviour. A novel approach to evaluation was adopted, which used scenario-building and micro-simulation to help scale up the results from field tests to the EU-28 level over a 20 year period, leading to a cost-benefit analysis (CBA) from both a societal and a stakeholder perspective. This article describes the method developed and used for the evaluation, and the main results for eco-driving systems, focusing on novel aspects, lessons learned and implications for policy and research. © 2018 World Conference on Transport Research Society

Place, publisher, year, edition, pages
Elsevier Ltd , 2018.
Keywords [en]
Cost-benefit analysis, Eco-driving, Methodology, Scaling up, Scenarios
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:liu:diva-150793DOI: 10.1016/j.cstp.2018.08.001Scopus ID: 2-s2.0-85051383948OAI: oai:DiVA.org:liu-150793DiVA, id: diva2:1243958
Note

Funding details: 288611, FP7, Seventh Framework Programme; Funding details: FP7-ICT-2011-7, FP7, Seventh Framework Programme; Funding details: EC, European Commission; Funding text: This research was part of the ecoDriver project which was supported by funding of the European Union Seventh Framework Programme (FP7-ICT-2011-7) under grant agreement no. 288611 . The authors gratefully acknowledge the European Commission for their funding. 

Available from: 2018-08-31 Created: 2018-08-31 Last updated: 2018-08-31

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The full text will be freely available from 2020-08-07 12:23
Available from 2020-08-07 12:23

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Olstam, Johan

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