IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v114y2025ics0739885925001465.html

Interventions for behavioural changes under travel hindrances: Information provision and economic compensation in pandemic, congestion and extreme weather

Author

Listed:
  • Nakamura, Eri
  • Shibayama, Takeru

Abstract

We explore how hierarchical interventions change people's decisions to postpone or cancel travel, comparing the effects of different travel characteristics and external risks. Three travel scenarios (daily grocery shopping, going to a restaurant, and attending a one-off sports match) are considered under three types of travel hindrance (pandemic, heavy rain and traffic congestion). A survey conducted in Japan, Germany and the UK reveals the following results. First, half of the respondents postpone or cancel travel only with a provision of risk information. Second, more than half of the respondents who would not postpone travel with risk information alone change their minds if economic compensation is offered. Third, the minimum discount rate, applied for a future visit, that would change the current behaviour lies within the reasonable range, about 20–40 %. The required discount rate for cancelling is higher than that for postponing. Fourth, when compensation is offered, people postpone or cancel travel if they prioritise for finishing things quickly, are concerned about environmental issues or evaluation by others, feel hassled when cycling or driving a car, or have an attitude of avoiding situational risk.

Suggested Citation

  • Nakamura, Eri & Shibayama, Takeru, 2025. "Interventions for behavioural changes under travel hindrances: Information provision and economic compensation in pandemic, congestion and extreme weather," Research in Transportation Economics, Elsevier, vol. 114(C).
  • Handle: RePEc:eee:retrec:v:114:y:2025:i:c:s0739885925001465
    DOI: 10.1016/j.retrec.2025.101663
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885925001465
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.retrec.2025.101663?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Quintal, Vanessa Ann & Lee, Julie Anne & Soutar, Geoffrey N., 2010. "Risk, uncertainty and the theory of planned behavior: A tourism example," Tourism Management, Elsevier, vol. 31(6), pages 797-805.
    2. Gaker, David & Zheng, Yanding & Walker, Joan, 2010. "Experimental Economics in Transportation: A Focus on Social Influences and the Provision of Information," University of California Transportation Center, Working Papers qt7vg9m3r1, University of California Transportation Center.
    3. Hilton, Denis & Charalambides, Laetitia & Demarque, Christophe & Waroquier, Laurent & Raux, Charles, 2014. "A tax can nudge: The impact of an environmentally motivated bonus/malus fiscal system on transport preferences," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 17-27.
    4. Lam, William H.K. & Shao, Hu & Sumalee, Agachai, 2008. "Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 890-910, December.
    5. Selvaraj, Ambika & Radhin, Vishnu & KA, Nithin & Benson, Noel & Mathew, Arun Jo, 2021. "Effect of pandemic based online education on teaching and learning system," International Journal of Educational Development, Elsevier, vol. 85(C).
    6. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
    7. Arnott, R. & de Palma, A. & Lindsey, R., 1990. "Departure time and route choice for the morning commute," Transportation Research Part B: Methodological, Elsevier, vol. 24(3), pages 209-228, June.
    8. Michiko Namazu & Jiaying Zhao & Hadi Dowlatabadi, 2018. "Nudging for responsible carsharing: using behavioral economics to change transportation behavior," Transportation, Springer, vol. 45(1), pages 105-119, January.
    9. Li, Zheng & Hensher, David A., 2012. "Congestion charging and car use: A review of stated preference and opinion studies and market monitoring evidence," Transport Policy, Elsevier, vol. 20(C), pages 47-61.
    10. Saleh, Wafaa & Farrell, Séona, 2005. "Implications of congestion charging for departure time choice: Work and non-work schedule flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 773-791.
    11. Vivek Choudhary & Masha Shunko & Serguei Netessine & Seongjoon Koo, 2022. "Nudging Drivers to Safety: Evidence from a Field Experiment," Management Science, INFORMS, vol. 68(6), pages 4196-4214, June.
    12. Kristoffersson, Ida, 2013. "Impacts of time-varying cordon pricing: Validation and application of mesoscopic model for Stockholm," Transport Policy, Elsevier, vol. 28(C), pages 51-60.
    13. Lucas, Karen, 2012. "Transport and social exclusion: Where are we now?," Transport Policy, Elsevier, vol. 20(C), pages 105-113.
    14. Yang, Hai & Meng, Qiang, 1998. "Departure time, route choice and congestion toll in a queuing network with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 32(4), pages 247-260, May.
    15. Yang, Hai & Meng, Qiang, 2000. "Highway pricing and capacity choice in a road network under a build-operate-transfer scheme," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 207-222, April.
    16. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    17. Gravert, Christina & Olsson Collentine, Linus, 2021. "When nudges aren’t enough: Norms, incentives and habit formation in public transport usage," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 1-14.
    18. Lars Böcker & Martin Dijst & Jan Prillwitz, 2013. "Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 71-91, January.
    19. Ciccone, A. & Fyhri, A. & Sundfør, H.B., 2021. "Using behavioral insights to incentivize cycling: Results from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1035-1058.
    20. Joachim Scheiner & Christian Holz-Rau, 2007. "Travel mode choice: affected by objective or subjective determinants?," Transportation, Springer, vol. 34(4), pages 487-511, July.
    21. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    22. Habibian, Meeghat & Kermanshah, Mohammad, 2013. "Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters," Transport Policy, Elsevier, vol. 30(C), pages 229-237.
    23. Guthrie, Cameron & Fosso-Wamba, Samuel & Arnaud, Jean Brice, 2021. "Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    24. Pengyu Zhu, 2012. "Are telecommuting and personal travel complements or substitutes?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 619-639, April.
    25. Patricia L. Mokhtarian & Ilan Salomon & Matan E. Singer, 2015. "What Moves Us? An Interdisciplinary Exploration of Reasons for Traveling," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 250-274, May.
    26. Prillwitz, Jan & Barr, Stewart, 2011. "Moving towards sustainability? Mobility styles, attitudes and individual travel behaviour," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1590-1600.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Su, Duan & Wang, Yacan & Yang, Nan & Wang, Xianghong, 2020. "Promoting considerate parking behavior in dockless bike-sharing: An experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 153-165.
    2. Combs, Tabitha S., 2017. "Examining changes in travel patterns among lower wealth households after BRT investment in Bogotá, Colombia," Journal of Transport Geography, Elsevier, vol. 60(C), pages 11-20.
    3. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    4. Thomas Klinger & Martin Lanzendorf, 2016. "Moving between mobility cultures: what affects the travel behavior of new residents?," Transportation, Springer, vol. 43(2), pages 243-271, March.
    5. Long, Jiancheng & Szeto, W.Y. & Gao, Ziyou & Huang, Hai-Jun & Shi, Qin, 2016. "The nonlinear equation system approach to solving dynamic user optimal simultaneous route and departure time choice problems," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 179-206.
    6. Beck, Matthew J. & Hensher, David A., 2022. "Working from home in Australia in 2020: Positives, negatives and the potential for future benefits to transport and society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 271-284.
    7. Bouzaghrane, Mohamed Amine & Obeid, Hassan & Villas-Boas, Sofia B. & Walker, Joan, 2024. "Influence of telecommuting on out-of-home time use and diversity of locations visited: Evidence from the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    8. Basnak, Paul & Balbontín, Camila & Vallejo-Borda, Jose Agustin & Feres, Fernando & Reyes, José & Beck, Matthew J. & Hensher, David A. & Giesen, Ricardo, 2025. "Determinants of mode changes in times of COVID-19: A study of 11 main Latin American cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 196(C).
    9. Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 648-669.
    10. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    11. Timothée Cuignet & Camille Perchoux & Geoffrey Caruso & Olivier Klein & Sylvain Klein & Basile Chaix & Yan Kestens & Philippe Gerber, 2020. "Mobility among older adults: Deconstructing the effects of motility and movement on wellbeing," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 383-401, February.
    12. Zhang, Chunqin & Ma, Hongbin & Jin, Xuanxuan & Pan, Dini & Skitmore, Martin & Liu, Xian & Yao, Wenbin, 2025. "The implementation effectiveness of Transit Metropolis policy: A case study of information intervention experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
    13. Bardal, Kjersti Granås & Mathisen, Terje Andreas, 2015. "Winter problems on mountain passes – Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 59-72.
    14. Shen, Wei & Zhang, H. Michael, 2009. "On the Morning Commute Problem in a Corridor Network with Multiple Bottlenecks: Its System-optimal Traffic Flow Patterns and the Realizing Tolling Scheme," Institute of Transportation Studies, Working Paper Series qt9bs815sq, Institute of Transportation Studies, UC Davis.
    15. He, Sylvia Y., 2013. "Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California," Transport Policy, Elsevier, vol. 25(C), pages 210-221.
    16. M. Rouhani, Omid, 2014. "Road pricing: An overview," MPRA Paper 59662, University Library of Munich, Germany.
    17. Chengxi Liu & Yusak O. Susilo & Anders Karlström, 2017. "Weather variability and travel behaviour – what we know and what we do not know," Transport Reviews, Taylor & Francis Journals, vol. 37(6), pages 715-741, November.
    18. Kristoffersson, Ida & Engelson, Leonid, 2016. "Efficiency and equity of congestion charges," Working papers in Transport Economics 2016:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    19. Geng, Kexin & Wang, Yacan & Cherchi, Elisabetta & Guarda, Pablo, 2023. "Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    20. Robbie Maris & Zack Dorner & Fredrik Carlsson, 2025. "Information Nudging and Monetary Incentives: A Green Partnership for Volunteering?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(9), pages 2503-2527, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:114:y:2025:i:c:s0739885925001465. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.