IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v117y2024ics096669232400108x.html
   My bibliography  Save this article

The impacts of extreme hot weather on metro ridership: A case study of Shenzhen, China

Author

Listed:
  • Wang, Bo
  • Zhang, Feiyang
  • Liu, Jixiang
  • Tan, Zhangzhi

Abstract

Under climate change, cities around the world would be faced with increasingly frequent, intense, and prolonged heatwave events. Currently, not enough research has looked into the temperature-metro ridership relationship in the scenario of extreme hot weather. Moreover, a geographical perspective, particularly on the characteristics of the built environment surrounding the metro stations, is still lacking in existing studies. To fill these research gaps, this study uses one year of hourly metro ridership and temperature records to examine the general relation between temperature and metro ridership. It also further investigates the metro ridership change during a week-long heatwave event in Shenzhen in 2016. Multivariate regressions were built for the overall scenario and separately for the weekday, weekend, peak hours, and off-peak scenarios. The results provide evidence for the non-linear relationship between the rise in temperature and the increase in metro ridership. The findings also suggest a general decline in metro ridership both on weekdays and the weekend during the heatwave, with more remarkable change observed on the weekend and off-peak hours on weekdays. Urban environment characteristics around metro stations, such as the number of companies, population density, amount of tree canopy, as well as the betweenness-centrality of stations, are found to be associated with the magnitude of change in metro ridership during the heatwave. The findings of this study offer some implications for the planning, design, and operation of metro systems in the future.

Suggested Citation

  • Wang, Bo & Zhang, Feiyang & Liu, Jixiang & Tan, Zhangzhi, 2024. "The impacts of extreme hot weather on metro ridership: A case study of Shenzhen, China," Journal of Transport Geography, Elsevier, vol. 117(C).
    • Handle: RePEc:eee:jotrge:v:117:y:2024:i:c:s096669232400108x
    DOI: 10.1016/j.jtrangeo.2024.103899
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096669232400108X
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2024.103899?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cervero, Robert & Day, Jennifer, 2008. "Suburbanization and transit-oriented development in China," Transport Policy, Elsevier, vol. 15(5), pages 315-323, September.
    2. Kalkstein, Adam J & Kuby, Michael & Gerrity, Daniel & Clancy, James J, 2009. "An analysis of air mass effects on rail ridership in three US cities," Journal of Transport Geography, Elsevier, vol. 17(3), pages 198-207.
    3. Gu, Xinyue & Chen, Pengyu & Fan, Chao, 2024. "Socio-demographic inequalities in the impacts of extreme temperatures on population mobility11This research received no specific grant from any funding agency, commercial or not-for-profit sectors," Journal of Transport Geography, Elsevier, vol. 114(C).
    4. Wu, Jingwen & Liao, Hua, 2020. "Weather, travel mode choice, and impacts on subway ridership in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 264-279.
    5. Stefan Gössling & Christoph Neger & Robert Steiger & Rainer Bell, 2023. "Weather, climate change, and transport: a review," 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. 118(2), pages 1341-1360, September.
    6. 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.
    7. 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.
    8. Becky P. Y. Loo & Frederic du Verle, 2017. "Transit-oriented development in future cities: towards a two-level sustainable mobility strategy," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 54-67, August.
    9. Boschmann, E. Eric & Brady, Sylvia A., 2013. "Travel behaviors, sustainable mobility, and transit-oriented developments: a travel counts analysis of older adults in the Denver, Colorado metropolitan area," Journal of Transport Geography, Elsevier, vol. 33(C), pages 1-11.
    10. Singhal, Abhishek & Kamga, Camille & Yazici, Anil, 2014. "Impact of weather on urban transit ridership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 379-391.
    11. Xiaohuan Xie & Hanzhi Zhou & Zhonghua Gou & Ming Yi, 2021. "Spatiotemporal Patterns of the Use of Green Space by White-Collar Workers in Chinese Cities: A Study in Shenzhen," Land, MDPI, vol. 10(10), pages 1-25, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. Wu, Pan & Xu, Lunhui & Zhong, Lingshu & Gao, Kun & Qu, Xiaobo & Pei, Mingyang, 2022. "Revealing the determinants of the intermodal transfer ratio between metro and bus systems considering spatial variations," Journal of Transport Geography, Elsevier, vol. 104(C).
    6. Morton, Craig, 2020. "The demand for cycle sharing: Examining the links between weather conditions, air quality levels, and cycling demand for regular and casual users," Journal of Transport Geography, Elsevier, vol. 88(C).
    7. Zanni, Alberto M. & Ryley, Tim J., 2015. "The impact of extreme weather conditions on long distance travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 305-319.
    8. 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.
    9. Jiang, Shixiong & Cai, Canhuang, 2022. "Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China," Transport Policy, Elsevier, vol. 127(C), pages 158-170.
    10. Pan Wu & Jinlong Li & Yuzhuang Pian & Xiaochen Li & Zilin Huang & Lunhui Xu & Guilin Li & Ruonan Li, 2022. "How Determinants Affect Transfer Ridership between Metro and Bus Systems: A Multivariate Generalized Poisson Regression Analysis Method," Sustainability, MDPI, vol. 14(15), pages 1-31, August.
    11. Kevin Lanza & Casey P. Durand, 2021. "Heat-Moderating Effects of Bus Stop Shelters and Tree Shade on Public Transport Ridership," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    12. Wu, Jingwen & Liao, Hua, 2020. "Weather, travel mode choice, and impacts on subway ridership in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 264-279.
    13. Liping Ge & Malek Sarhani & Stefan Voß & Lin Xie, 2021. "Review of Transit Data Sources: Potentials, Challenges and Complementarity," Sustainability, MDPI, vol. 13(20), pages 1-37, October.
    14. Kashfi, Syeed Anta & Bunker, Jonathan M. & Yigitcanlar, Tan, 2015. "Understanding the effects of complex seasonality on suburban daily transit ridership," Journal of Transport Geography, Elsevier, vol. 46(C), pages 67-80.
    15. 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.
    16. Bean, Richard & Pojani, Dorina & Corcoran, Jonathan, 2021. "How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones," Journal of Transport Geography, Elsevier, vol. 95(C).
    17. Zhenjun Zhu & Jun Zeng & Xiaolin Gong & Yudong He & Shucheng Qiu, 2021. "Analyzing Influencing Factors of Transfer Passenger Flow of Urban Rail Transit: A New Approach Based on Nested Logit Model Considering Transfer Choices," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
    18. Markolf, Samuel A. & Hoehne, Christopher & Fraser, Andrew & Chester, Mikhail V. & Underwood, B. Shane, 2019. "Transportation resilience to climate change and extreme weather events – Beyond risk and robustness," Transport Policy, Elsevier, vol. 74(C), pages 174-186.
    19. Timothy Otim & Leandro Dörfer & Dina Bousdar Ahmed & Estefania Munoz Diaz, 2022. "Modeling the Impact of Weather and Context Data on Transport Mode Choices: A Case Study of GPS Trajectories from Beijing," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    20. Zhentao Li & Tianzi Li, 2022. "How Does City Size Affect the Cost of Household Travel? Evidence from an Urban Household Survey in China," IJERPH, MDPI, vol. 19(11), pages 1-20, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:117:y:2024:i:c:s096669232400108x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.