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Mapping spatial patterns of bus usage under varying local temperature conditions

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  • Jonathan Corcoran
  • Sui Tao

Abstract

Weather influences our daily travel decisions in a number of important ways. At the individual scale, weather has been shown to influence trip-making behaviours where inclement conditions can induce re-scheduling, re-routing and cancellation of a planned journey. Furthermore at the transit system-level, poor weather can increase traffic congestion and reduce operational efficiencies. While some research has examined the weather–transit relationship, focus on the spatial dimension remain in their infancy. In this paper we adopt a visual analytic approach to spatially explore the complex weather–transit relationship at a micro geographical scale. We demonstrate that through spatially integrating a large disaggregate smart card database of bus ridership with hourly local weather measurements we can reveal how ‘heat stress’ changes the way in which passengers use the public transit system in sub-tropical Brisbane, Australia. Our approach has the potential for broader application across other public and private transport and climatic contexts to unveil the way in which weather influences our daily travel behaviour.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:tjomxx:v:13:y:2017:i:1:p:74-81
    DOI: 10.1080/17445647.2017.1378933
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    References listed on IDEAS

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    1. Corcoran, Jonathan & Li, Tiebei & Rohde, David & Charles-Edwards, Elin & Mateo-Babiano, Derlie, 2014. "Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events," Journal of Transport Geography, Elsevier, vol. 41(C), pages 292-305.
    2. Brazil, William & White, Arthur & Nogal, Maria & Caulfield, Brian & O'Connor, Alan & Morton, Craig, 2017. "Weather and rail delays: Analysis of metropolitan rail in Dublin," Journal of Transport Geography, Elsevier, vol. 59(C), pages 69-76.
    3. Zhang, H. M. & Recker, W. W., 1999. "On optimal freeway ramp control policies for congested traffic corridors," Transportation Research Part B: Methodological, Elsevier, vol. 33(6), pages 417-436, August.
    4. 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.
    5. Tao, Sui & Rohde, David & Corcoran, Jonathan, 2014. "Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap," Journal of Transport Geography, Elsevier, vol. 41(C), pages 21-36.
    6. Kitthamkesorn, Songyot & Chen, Anthony, 2014. "Unconstrained weibit stochastic user equilibrium model with extensions," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 1-21.
    7. 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.
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    Cited by:

    1. Schwanen, Tim, 2019. "Transport geography, climate change and space: opportunity for new thinking," Journal of Transport Geography, Elsevier, vol. 81(C).
    2. Zhang, Min & Yen, Barbara T.H. & Mulley, Corinne & Sipe, Neil, 2020. "How does an open system bus rapid transit (BRT) facilitate inter and intra-modal mobility? A visual analytic analysis of Brisbane, Australia," Research in Transportation Economics, Elsevier, vol. 83(C).
    3. Wei, Ming & Liu, Yan & Sigler, Thomas & Liu, Xiaoyang & Corcoran, Jonathan, 2019. "The influence of weather conditions on adult transit ridership in the sub-tropics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 106-118.

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