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Research on Residents’ Travel Behavior under Sudden Fire Disaster Based on Prospect Theory

Author

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  • Ciyun Lin

    (Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
    Jilin Engineering Research Center for ITS, Changchun 130022, China)

  • Kang Wang

    (Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
    Jilin Engineering Research Center for ITS, Changchun 130022, China)

  • Dayong Wu

    (Texas A&M Transportation Institute, Texas A&M University, College Station, TX 77843, USA)

  • Bowen Gong

    (Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
    Jilin Engineering Research Center for ITS, Changchun 130022, China)

Abstract

The decision-making process of travel behaviors under uncertainty and risk shall be analyzed in order to solve the emergency traffic management or evacuation problem under sudden fire disaster in a high-density urban environment. Firstly, this paper attempts to acquire the travel risk attitude thought online survey questionnaires. In the questionnaire, we focused on obtaining the traveler’s response thought set a scene and obtain the traveler’s risk attitude. Secondly, we explore the relationship between traveler’s personal attributes and risk attitudes through questionnaires. Finally, the questionnaire data were used to calibrate and adjust the parameters in the proposed prospect theory (PT) based model. Subsequently, the K-T model and Wang’s model were used to compare and verify the accuracy and validity of the proposed model. The results presented that the proposed model is more accurate and the largest prediction error of travel route selection behavior is only nine percent.

Suggested Citation

  • Ciyun Lin & Kang Wang & Dayong Wu & Bowen Gong, 2020. "Research on Residents’ Travel Behavior under Sudden Fire Disaster Based on Prospect Theory," Sustainability, MDPI, vol. 12(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:487-:d:306577
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    References listed on IDEAS

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    Cited by:

    1. Ciyun Lin & Kang Wang & Dayong Wu & Bowen Gong, 2020. "Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study," Sustainability, MDPI, vol. 12(17), pages 1-22, August.

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