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Temporal framing of stated preference experiments: does it affect valuations?
KTH. VTI Swedish National Road and Transport Research Institute, Stockholm, Sweden.ORCID iD: 0000-0001-9235-0232
2018 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 117, p. 319-333Article in journal (Refereed) Published
Abstract [en]

In this paper, we explore how valuations of trip attributes by train commuters differ between a short-run (departure time choice) and a long-run (travel routine choice) context using a unique SP experiment explicitly designed for this purpose. In the short-run version of the SP experiment, the respondents receive information about available travel options shortly before they had planned to travel. In the long-run version, the respondents receive information about available travel options one month ahead of the planned travel. The short-run context concerns temporary changes in available travel options, while the long-run context concerns permanent changes. We find significantly higher valuations of trip attributes in the long-run context. Moreover, our results indicate that the usual arrival time at work as well as the intrinsically preferred arrival time at work serve as reference points in the short-run as well as the long-run choice context, with the former dominating in the short-run context and the latter in the long-run context. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2018. Vol. 117, p. 319-333
Keywords [en]
Departure time, Framing, Long-run, Routine, Scheduling, Short-run, Stated preference data, Transportation, Stated preferences, Public policy, commuting, experimental study, planning theory, preference behavior, spatial analysis, temporal analysis, travel time, valuation
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-236603DOI: 10.1016/j.tra.2018.08.027ISI: 000446151200024Scopus ID: 2-s2.0-85052873081OAI: oai:DiVA.org:kth-236603DiVA, id: diva2:1265737
Note

Export Date: 22 October 2018; Article; Correspondence Address: Peer, S.; Vienna University of Economics and BusinessAustria; email: stefanie.peer@wu.ac.at; Funding details: IenM, Ministerie van Infrastructuur en Milieu; Funding text: The authors wish to thank the anonymous referees for their constructive suggestions. They would also like to thank the participants of the International Choice Modeling Conference (ICMC) 2017 for insightful comments. The Dutch Ministry of Infrastructure and the Environment are thanked for the financial support of this study, and the the project consortium (“Peak Avoidance in the Train”/“Spitsmijden in de Trein”) for their great efforts. In particular we thank Jasper Knockaert for the data management and preparation, and Erik Verhoef for useful discussions on long-run vs. short-run scheduling decisions. The authors gratefully acknowledge funding from the “ERA-NET Cofund Smart Cities and Communities” (IP-SUNTAN). The usual disclaimer applies. Appendix A. QC 20181126

Available from: 2018-11-26 Created: 2018-11-26 Last updated: 2018-11-26Bibliographically approved

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Börjesson, Maria

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