The role of affective experiences in travelers' assessments of risks and satisfaction: an experience sampling approach

N.J. Wielens, T.A. Arentze

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Affective experiences during travel tend to have relatively strong impacts on travelers' assessment of risks (delay, late arrival, crowdedness, etc.) as well as their satisfaction with existing travel modes. Evidence from experimental psychology and behavioral economics suggests that emotional biases in risk judgments and experienced utilities can be reduced to particular biases of human memory (emotional experiences are better remembered). In transportation research, still little is known about the role of affective experiences in judgments of risks and satisfaction with transport opportunities. In this paper, we develop the Travel-Experience Sampling Method and show how the data can be used to empirically estimate and test a memory-based model of likelihood judgments and satisfaction. We conclude that in combination the new modeling framework and data collection instrument constitute a suitable research methodology to study the role of emotion in important areas of travel behavior research; judgments of risks and satisfaction.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure
PublisherHong Kong Society for Transportation Studies
Pages385-392
Number of pages8
ISBN (Print)9789881581433
Publication statusPublished - 2014
Event19th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2014) - Hong Kong, China
Duration: 13 Dec 201415 Dec 2014

Conference

Conference19th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2014)
Abbreviated titleHKSTS2014
Country/TerritoryChina
CityHong Kong
Period13/12/1415/12/14
OtherTransportation and Infrastructure

Keywords

  • Affective experiences
  • Emotional bias in risk judgments
  • Experience sampling
  • Satisfaction
  • Travel behavior

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