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Inter-city travel behaviour adaptation to extreme weather events

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  • Lu, Qing-Chang
  • Zhang, Junyi
  • Peng, Zhong-Ren
  • Rahman, ABM Sertajur

Abstract

Increased attention has been paid to travel behaviour in circumstances of extreme weather conditions that are expected with climate change, and the analyses usually address intra-city travel. There is lack of assessments on inter-city travel which has less redundancy and is more exposed to extreme weather threats. In addition, much of the research has been carried out in developed countries. This paper provides new perspectives by investigating how people adapt their inter-city travel behaviour to flooding impacts in Bangladesh. With an orthogonal design of three flooding scenarios, questionnaire data were collected in 14 coastal and inland areas. Results of the statistical analyses identify the significant impacts of flooding on people’s inter-city travel and reveal significant differences in attitudes and responses to flooding and extreme weather in coastal compared to inland locations. The main factors significantly affecting travel behaviour choice are road disruption, isolation by flood water, and flood frequency. These factors are felt differently in coastal and inland locations. The most common responses are cancelling trips or changing destinations. It is recommended that when making flooding adaptation decisions, it is important to protect road infrastructure and guarantee accessible routes in coastal areas, while offering more flood adaptation education to the inland people.

Suggested Citation

  • Lu, Qing-Chang & Zhang, Junyi & Peng, Zhong-Ren & Rahman, ABM Sertajur, 2014. "Inter-city travel behaviour adaptation to extreme weather events," Journal of Transport Geography, Elsevier, vol. 41(C), pages 148-153.
  • Handle: RePEc:eee:jotrge:v:41:y:2014:i:c:p:148-153
    DOI: 10.1016/j.jtrangeo.2014.08.016
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    3. Yun Wang & Xuedong Yan & Yu Zhou & Qingwan Xue, 2017. "Influencing Mechanism of Potential Factors on Passengers’ Long-Distance Travel Mode Choices Based on Structural Equation Modeling," Sustainability, MDPI, vol. 9(11), pages 1-22, October.
    4. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    5. Yuan, Yali & Yang, Xiaobao & Zhang, Junyi & Song, Dongdong & Yue, Xianfei, 2024. "Adaptive behavior of intercity travelers within urban agglomeration in response to adverse weather: Accounting for multilayer unobserved heterogeneity," Transport Policy, Elsevier, vol. 153(C), pages 141-158.
    6. Yang, Xiaobao & Yue, Xianfei & Sun, Huijun & Gao, Ziyou & Wang, Wencheng, 2021. "Impact of weather on freeway origin-destination volume in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 30-47.
    7. Marcin Jacek Kłos & Grzegorz Sierpiński, 2021. "Building a Model of Integration of Urban Sharing and Public Transport Services," Sustainability, MDPI, vol. 13(6), pages 1-26, March.
    8. Chan, Ho-Yin & Chen, Anthony & Li, Guoyuan & Xu, Xiangdong & Lam, William, 2021. "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system," Journal of Transport Geography, Elsevier, vol. 91(C).
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