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Behaviour Theory and Soft Transport Policy Measures
Karlstad University, Faculty of Economic Sciences, Communication and IT, The Service and Market Oriented Transport Research Group. Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Psychology. Karlstad University, Faculty of Economic Sciences, Communication and IT, Service Research Center.ORCID iD: 0000-0002-7475-680X
Karlstad University, Faculty of Economic Sciences, Communication and IT, The Service and Market Oriented Transport Research Group.
2011 (English)In: Transport Policy, ISSN 0967-070X, E-ISSN 1879-310X, Vol. 18, no 1, p. 228-235Article in journal (Refereed) Published
Abstract [en]

The aim is to propose a theoretical grounding of soft transport policy measures that aim at promoting voluntary reduction of car use. A general conceptual framework is first presented to clarify how hard and soft transport policy measures impact on car-use reduction. Two different behavioural theories that have been used to account for car use and car-use reduction are then integrated in a self-regulation theory that identifies four stages of the process of voluntarily changing car use: setting a car-use reduction goal, forming a plan for achieving the goal, initiating and executing the plan, and evaluating the outcome of the plan execution. A number of techniques are described that facilitate the different stages of the process of voluntary car-use reduction and which should be used in personalized travel planning programs.

Place, publisher, year, edition, pages
2011. Vol. 18, no 1, p. 228-235
Keywords [en]
Soft transport policy measures, Personalized travel planning, Travel behaviour, Behavioural theory
National Category
Social Sciences
Research subject
Psychology
Identifiers
URN: urn:nbn:se:kau:diva-12367DOI: 10.1016/j.tranpol.2010.08.006ISI: 000285450100026OAI: oai:DiVA.org:kau-12367DiVA, id: diva2:511062
Available from: 2012-03-19 Created: 2012-03-19 Last updated: 2017-12-07Bibliographically approved

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Friman, MargaretaGärling, Tommy

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