Temporal framing of stated preference experiments: does it affect valuations?

Stefanie Peer, Maria Börjesson, Maria Börjesson

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)319-333
Number of pages15
JournalTransportation Research Part A: Policy and Practice
Volume117
DOIs
Publication statusPublished - Nov 2018

Funding

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

FundersFunder number
Dutch Ministry of Infrastructure
Horizon 2020 Framework Programme646453

    Keywords

    • Departure time
    • Framing
    • Long-run
    • Routine
    • Scheduling
    • Short-run
    • Stated preference data

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