IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v121y2024ics0966692324002400.html
   My bibliography  Save this article

Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York

Author

Listed:
  • Gong, Mengjie
  • Xin, Rui
  • Yang, Jian
  • Wang, Jiaoe
  • Li, Tingting
  • Zhang, Yujuan

Abstract

The COVID-19 has led to significant changes in urban travel behaviors, with commuting being one of the most affected travel modes. Commuting cycling by bike-sharing systems (BSS) is regarded as a new transportation mode that is low-carbon and low-cost. However, its dynamic changes and spatiotemporal characteristics in different periods of COVID-19 still lack exploration. Therefore, this study adopts machine learning methods to identify commuter bike-sharing activities and develops a combined analysis method to analyze commuting cycling data via temporal, spatial, and spatiotemporal aggregation. Finally, we select the bike-sharing data in New York City from periods before, during, and after COVID-19 to conduct experiments. It has been found that commuting cycling experienced a “decrease-rebound” trend at the macroscopic level under the pandemic impact. However, at the micro level, urban mobility driven by this travel mode failed to fully recover, as evidenced by significant changes in spatial and temporal mobility patterns. The findings shall not only help traffic operators and managers discover the BSS commuting patterns but also reveal the pandemic impact on the travel behavior of urban residents, promoting the development of intelligent services for urban emergency management and traffic management.

Suggested Citation

  • Gong, Mengjie & Xin, Rui & Yang, Jian & Wang, Jiaoe & Li, Tingting & Zhang, Yujuan, 2024. "Spatio-temporal dynamics and recovery of commuting activities via bike-sharing around COVID-19: A case study of New York," Journal of Transport Geography, Elsevier, vol. 121(C).
  • Handle: RePEc:eee:jotrge:v:121:y:2024:i:c:s0966692324002400
    DOI: 10.1016/j.jtrangeo.2024.104031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692324002400
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2024.104031?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. Wang, Ruoxuan & Wu, Jianping & Qi, Geqi, 2022. "Exploring regional sustainable commuting patterns based on dockless bike-sharing data and POI data," Journal of Transport Geography, Elsevier, vol. 102(C).
    2. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    3. Qian, Xiaodong & Jaller, Miguel, 2020. "Bikesharing, equity, and disadvantaged communities: A case study in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 354-371.
    4. Lothlorien Redmond & Patricia Mokhtarian, 2001. "The positive utility of the commute: modeling ideal commute time and relative desired commute amount," Transportation, Springer, vol. 28(2), pages 179-205, May.
    5. Peng Zeng & Ming Wei & Xiaoyang Liu, 2020. "Investigating the Spatiotemporal Dynamics of Urban Vitality Using Bicycle-Sharing Data," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
    6. Lazarus, Jessica & Pourquier, Jean Carpentier & Feng, Frank & Hammel, Henry & Shaheen, Susan, 2020. "Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco," Journal of Transport Geography, Elsevier, vol. 84(C).
    7. Lucia Rotaris & Mario Intini & Alessandro Gardelli, 2022. "Impacts of the COVID-19 Pandemic on Bike-Sharing: A Literature Review," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    8. Lazarus, Jessica & Pourquier, Jean Carpentier & Feng, Frank & Hammel, Henry & Shaheen, Susan, 2020. "Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt96g9c9nd, Institute of Transportation Studies, UC Berkeley.
    9. Roger Beecham & Jo Wood, 2014. "Exploring gendered cycling behaviours within a large-scale behavioural data-set," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(1), pages 83-97, February.
    10. McKenzie, Grant, 2019. "Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C," Journal of Transport Geography, Elsevier, vol. 78(C), pages 19-28.
    11. Scorrano, Mariangela & Danielis, Romeo, 2021. "Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency," Research in Transportation Economics, Elsevier, vol. 86(C).
    12. Bi, Hui & Li, Aoyong & Hua, Mingzhuang & Zhu, He & Ye, Zhirui, 2022. "Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai," Transport Policy, Elsevier, vol. 129(C), pages 51-65.
    13. Zahra Zarabi & E. Owen D. Waygood & Tim Schwanen, 2024. "Understanding travel mode choice through the lens of COVID-19: a systematic review of pandemic commuters," Transport Reviews, Taylor & Francis Journals, vol. 44(2), pages 368-404, March.
    14. Wang, Haoyun & Noland, Robert B., 2021. "Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City," Transport Policy, Elsevier, vol. 106(C), pages 262-270.
    15. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    16. Wang, Xize & Lindsey, Greg & Schoner, Jessica E. & Harrison, Andrew, 2016. "Modeling bike share station activity: Effects of nearby businesses and jobs on trips to and from stations," SocArXiv stav4, Center for Open Science.
    17. Ma, Xiaolei & Liu, Congcong & Wen, Huimin & Wang, Yunpeng & Wu, Yao-Jan, 2017. "Understanding commuting patterns using transit smart card data," Journal of Transport Geography, Elsevier, vol. 58(C), pages 135-145.
    18. Mingyang Du & Lin Cheng & Xuefeng Li & Jingzong Yang, 2019. "Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    19. Filipe Teixeira, João & Silva, Cecília & Moura e Sá, Frederico, 2022. "The role of bike sharing during the coronavirus pandemic: An analysis of the mobility patterns and perceptions of Lisbon’s GIRA users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 17-34.
    20. Bergantino, Angela Stefania & Intini, Mario & Tangari, Luca, 2021. "Influencing factors for potential bike-sharing users: an empirical analysis during the COVID-19 pandemic," Research in Transportation Economics, Elsevier, vol. 86(C).
    21. Kou, Zhaoyu & Cai, Hua, 2019. "Understanding bike sharing travel patterns: An analysis of trip data from eight cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 785-797.
    22. Shang, Wen-Long & Chen, Jinyu & Bi, Huibo & Sui, Yi & Chen, Yanyan & Yu, Haitao, 2021. "Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis," Applied Energy, Elsevier, vol. 285(C).
    23. Dong-Gyun Ku & Jung-Sik Um & Young-Ji Byon & Joo-Young Kim & Seung-Jae Lee, 2021. "Changes in Passengers’ Travel Behavior Due to COVID-19," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    24. Li, Haojie & Zhang, Yingheng & Zhu, Manman & Ren, Gang, 2021. "Impacts of COVID-19 on the usage of public bicycle share in London," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 140-155.
    25. João Filipe Teixeira & Cecília Silva & Frederico Moura e Sá, 2021. "Empirical evidence on the impacts of bikesharing: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 41(3), pages 329-351, May.
    26. repec:osf:socarx:stav4_v1 is not listed on IDEAS
    27. Pikora, Terri & Giles-Corti, Billie & Bull, Fiona & Jamrozik, Konrad & Donovan, Rob, 2003. "Developing a framework for assessment of the environmental determinants of walking and cycling," Social Science & Medicine, Elsevier, vol. 56(8), pages 1693-1703, April.
    28. Andreas Nikiforiadis & Georgia Ayfantopoulou & Afroditi Stamelou, 2020. "Assessing the Impact of COVID-19 on Bike-Sharing Usage: The Case of Thessaloniki, Greece," Sustainability, MDPI, vol. 12(19), pages 1-12, October.
    29. Sungsu Kim & Ashis SenGupta, 2021. "Multimodal exponential families of circular distributions with application to daily peak hours of PM2.5 level in a large city," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(16), pages 3193-3207, December.
    30. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
    31. O’Brien, Oliver & Cheshire, James & Batty, Michael, 2014. "Mining bicycle sharing data for generating insights into sustainable transport systems," Journal of Transport Geography, Elsevier, vol. 34(C), pages 262-273.
    32. Hu, Songhua & Xiong, Chenfeng & Liu, Zhanqin & Zhang, Lei, 2021. "Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic," Journal of Transport Geography, Elsevier, vol. 91(C).
    33. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
    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. Bi, Hui & Gao, Hui & Li, Aoyong & Ye, Zhirui, 2024. "Investigation on the joint travel behavior in bike sharing systems during the COVID-19 pandemic: Insights from New York City," Journal of Transport Geography, Elsevier, vol. 117(C).
    2. Xinyi Xie & Mingyang Du & Xuefeng Li & Yunjian Jiang, 2023. "Exploring Influential Factors of Free-Floating Bike-Sharing Usage Frequency before and after COVID-19," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    3. Teixeira, João Filipe & Silva, Cecília & Moura e Sá, Frederico, 2023. "Factors influencing modal shift to bike sharing: Evidence from a travel survey conducted during COVID-19," Journal of Transport Geography, Elsevier, vol. 111(C).
    4. Teixeira, João Filipe & Silva, Cecília & Moura e Sá, Frederico, 2022. "The strengths and weaknesses of bike sharing as an alternative mode during disruptive public health crisis: A qualitative analysis on the users’ motivations during COVID-19," Transport Policy, Elsevier, vol. 129(C), pages 24-37.
    5. Lucia Rotaris & Mario Intini & Alessandro Gardelli, 2022. "Impacts of the COVID-19 Pandemic on Bike-Sharing: A Literature Review," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    6. Song, Jie & Zhang, Liye & Qin, Zheng & Ramli, Muhamad Azfar, 2022. "Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    7. Ma, Xinwei & Ji, Yanjie & Yuan, Yufei & Van Oort, Niels & Jin, Yuchuan & Hoogendoorn, Serge, 2020. "A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 148-173.
    8. Ma, Xinwei & Zhang, Shuai & Wu, Tao & Yang, Yizhe & Yu, Jiajie, 2023. "Can dockless and docked bike-sharing substitute each other? Evidence from Nanjing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    9. Nigro, Marialisa & Castiglione, Marisdea & Maria Colasanti, Fabio & De Vincentis, Rosita & Valenti, Gaetano & Liberto, Carlo & Comi, Antonio, 2022. "Exploiting floating car data to derive the shifting potential to electric micromobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 78-93.
    10. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," Papers 2107.11589, arXiv.org.
    11. Xin, Rui & Yang, Jian & Ai, Bo & Ding, Linfang & Li, Tingting & Zhu, Ruoxin, 2023. "Spatiotemporal analysis of bike mobility chain: A new perspective on mobility pattern discovery in urban bike-sharing system," Journal of Transport Geography, Elsevier, vol. 109(C).
    12. Meng, Si'an & Brown, Anne, 2021. "Docked vs. dockless equity: Comparing three micromobility service geographies," Journal of Transport Geography, Elsevier, vol. 96(C).
    13. Zhan, Zilin & Guo, Yuanyuan & Noland, Robert B. & He, Sylvia Y. & Wang, Yacan, 2023. "Analysis of links between dockless bikeshare and metro trips in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    14. Ross-Perez, Antonio & Walton, Neil & Pinto, Nuno, 2022. "Identifying trip purpose from a dockless bike-sharing system in Manchester," Journal of Transport Geography, Elsevier, vol. 99(C).
    15. Bi, Hui & Li, Aoyong & Hua, Mingzhuang & Zhu, He & Ye, Zhirui, 2022. "Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai," Transport Policy, Elsevier, vol. 129(C), pages 51-65.
    16. Arias-Molinares, Daniela & Romanillos, Gustavo & García-Palomares, Juan Carlos & Gutiérrez, Javier, 2021. "Exploring the spatio-temporal dynamics of moped-style scooter sharing services in urban areas," Journal of Transport Geography, Elsevier, vol. 96(C).
    17. Kyoungok Kim, 2024. "Discovering spatiotemporal usage patterns of a bike-sharing system by type of pass: a case study from Seoul," Transportation, Springer, vol. 51(4), pages 1373-1407, August.
    18. Cheng, Long & Huang, Jie & Jin, Tanhua & Chen, Wendong & Li, Aoyong & Witlox, Frank, 2023. "Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro," Journal of Transport Geography, Elsevier, vol. 107(C).
    19. Riggs, William & Kawashima, Matt & Batstone, David, 2021. "Exploring best practice for municipal e-scooter policy in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 18-27.
    20. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).

    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:121:y:2024:i:c:s0966692324002400. 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.