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The influence of weather on local geographical patterns of bus usage

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  • Tao, Sui
  • Corcoran, Jonathan
  • Hickman, Mark
  • Stimson, Robert

Abstract

This paper broadens the research on weather and public transport usage by considering the micro dynamics of the effect that various weather conditions impose on micro geographic patterns of bus ridership in Brisbane, Australia. A smart card data set and detailed measurements of weather, allied with a suite of statistical and visual analytic techniques, are employed to capture the effect of weather on the local variations of bus ridership. While changes in weather conditions do not significantly affect bus ridership at the system level, some marked influence was found for rainfall, wind speed and relative humidity at a sub-system level. In addition, discernible variations of both the magnitude and direction of weather's effect were found at the sub-system level. Developing a more geographically detailed understanding of the effect of weather on public transport services serves as a critical first step towards establishing a more weather-resilient public transport system. This new understanding has the potential to contribute to an evidence base that can be used to proactively adjust public transport services in response to changes in weather conditions across different parts of the network. Further research is needed to assess how transferable our findings are to other public transport and climatic contexts.

Suggested Citation

  • Tao, Sui & Corcoran, Jonathan & Hickman, Mark & Stimson, Robert, 2016. "The influence of weather on local geographical patterns of bus usage," Journal of Transport Geography, Elsevier, vol. 54(C), pages 66-80.
    • Handle: RePEc:eee:jotrge:v:54:y:2016:i:c:p:66-80
    DOI: 10.1016/j.jtrangeo.2016.05.009
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    Cited by:

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    2. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    3. Miao, Qing & Welch, Eric W. & Sriraj, P.S., 2019. "Extreme weather, public transport ridership and moderating effect of bus stop shelters," Journal of Transport Geography, Elsevier, vol. 74(C), pages 125-133.
    4. Li, Junlong & Li, Xuhong & Chen, Dawei & Godding, Lucy, 2018. "Assessment of metro ridership fluctuation caused by weather conditions in Asian context: Using archived weather and ridership data in Nanjing," Journal of Transport Geography, Elsevier, vol. 66(C), pages 356-368.
    5. 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.
    6. Peng Guo & Yanling Sun & Qiyi Chen & Junrong Li & Zifei Liu, 2022. "The Impact of Rainfall on Urban Human Mobility from Taxi GPS Data," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    7. Wei, Ming, 2022. "How does the weather affect public transit ridership? A model with weather-passenger variations," Journal of Transport Geography, Elsevier, vol. 98(C).
    8. Wei, Ming, 2022. "Investigating the influence of weather on public transit passenger’s travel behaviour: Empirical findings from Brisbane, Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 36-51.
    9. Jonathan Corcoran & Sui Tao, 2017. "Mapping spatial patterns of bus usage under varying local temperature conditions," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 74-81, January.

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