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dc.contributor.authorNakamura, Eri
dc.contributor.authorShibayama, Takeru
dc.date.accessioned2025-01-22T04:49:49Z
dc.date.available2025-01-22T04:49:49Z
dc.date.issued2025-01-22
dc.identifier.urihttps://hdl.handle.net/2123/33542
dc.description.abstractWe investigate how different levels of perceived risk affect individual travel decisions. Three travel scenarios (daily grocery shopping, going to a restaurant, and attending a one-off sports match) are compared under three types of travel hindrances (pandemic, heavy rain, and traffic congestion). A survey in Japan, Germany and the UK reveals the following four implications. First, people's decisions differ depending on the travel scenario and the hindrance. Heavy rain is perceived as a more severe constraint than traffic congestion in the decision to postpone a travel, and fewer people cancel a sports match than restaurant. Second, people's decisions also depend on the certainty that the hindrance will be resolved. People are more likely to postpone or cancel a travel if there is a greater likelihood that the hindrance will be resolved soon. Third, the essentiality and substitutability of a travel influence the minimum discount rate for compensation. People require a higher discount rate for essential shopping than for dining out for postponement, and for dining out than for a sports match for cancellation. Fourth, the incentive mechanisms for postponing and cancelling a travel are not transferable across countries, as respondents in our sample countries show different tendencies.en
dc.language.isoenen
dc.rightsCopyright All Rights Reserveden
dc.subjectTravel Hindrancesen
dc.subjectPandemicen
dc.subjectCongestionen
dc.subjectExtreme Weatheren
dc.subjectTravel Behaviouren
dc.titleDifferent Responses to Travel Hindrances: Pandemic, Congestion, and Extreme Weatheren
dc.typeConference paperen
usyd.facultySeS faculties schools::The University of Sydney Business Schoolen
usyd.facultyThe University of Sydney Business School, Institute of Transport and Logistics Studies (ITLS)
usyd.departmentInstitute of Transport and Logistics Studiesen
workflow.metadata.onlyNoen


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