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Assessing motorist behavior during flash floods in Tucson, Arizona

Author

Listed:
  • Ashley R. Coles

    (Texas Christian University (TCU))

  • Kyle E. Walker

    (Texas Christian University (TCU))

Abstract

Weather events often force motorists to drive in unsafe conditions or alter travel plans. Both decisions are imbued with costs that drivers may minimize by developing adaptation behaviors that facilitate safe travel. This study examines motorist behavior in Tucson, where urban flash floods are potentially avoided by strategies such as changing the route or trip timing. A sample of 108 residents completed a stated adaptation questionnaire regarding which behaviors they take to avoid floods prior to departure and upon encountering a flood. A multiple regression analysis tests whether behaviors depend on demographic characteristics, familiarity with flood locations, and previous experience entering floodwaters. This study also considers the types of information that people seek upon encountering a flood. The results highlight the importance of flexibility and familiarity for motorists’ decision making. Fewer adaptation behaviors are used for urgent commute trips, but route switching is common for the most frequent trips to work, school, and home. Pre-trip behaviors account for most differences because most respondents use adaptation behaviors upon flood encounter, but age, ethnicity, and previous experience with floods are key factors. Differences in flood avoidance behaviors appear to be linked to travel flexibility, not just propensity to take risks. These results also highlight the significant potential for communicating alternate routes to help motorists reduce flood exposure and other point-location hazards while minimizing travel disruption.

Suggested Citation

  • Ashley R. Coles & Kyle E. Walker, 2021. "Assessing motorist behavior during flash floods in Tucson, Arizona," Transportation, Springer, vol. 48(6), pages 3037-3057, December.
  • Handle: RePEc:kap:transp:v:48:y:2021:i:6:d:10.1007_s11116-020-10156-2
    DOI: 10.1007/s11116-020-10156-2
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    References listed on IDEAS

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    1. Richard Franklin & Jemma King & Peter Aitken & Peter Leggat, 2014. "“Washed away”—assessing community perceptions of flooding and prevention strategies: a North Queensland example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1977-1998, September.
    2. Lars Böcker & Patrick Amen & Marco Helbich, 2017. "Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands," Transportation, Springer, vol. 44(4), pages 831-852, July.
    3. Ferris, Jeffrey S. & Newburn, David A., 2017. "Wireless alerts for extreme weather and the impact on hazard mitigating behavior," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 239-255.
    4. Cools, Mario & Creemers, Lieve, 2013. "The dual role of weather forecasts on changes in activity-travel behavior," Journal of Transport Geography, Elsevier, vol. 28(C), pages 167-175.
    5. 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.
    6. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "Investigating the impacts of weather variability on individual’s daily activity–travel patterns: A comparison between commuters and non-commuters in Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 47-64.
    7. André De Palma & Denis Rochat, 1999. "Understanding individual travel decisions: results from a commuters survey in Geneva," Transportation, Springer, vol. 26(3), pages 263-281, August.
    8. Bruno Faivre d'Arcier & Odile Andan & Charles Raux, 1998. "Stated adaptation surveys and choice process: Some methodological issues," Post-Print halshs-00139993, HAL.
    9. Irene Casas & Mei‐Po Kwan, 2007. "The Impact of Real‐Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator," Growth and Change, Wiley Blackwell, vol. 38(4), pages 523-543, December.
    10. Khattak, Asad J. & De Palma, André, 1997. "The impact of adverse weather conditions on the propensity to change travel decisions: A survey of Brussels commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 181-203, May.
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