IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v74y2019icp299-312.html
   My bibliography  Save this article

Associations of built environments with spatiotemporal patterns of public bicycle use

Author

Listed:
  • Liu, Hung-Chi
  • Lin, Jen-Jia

Abstract

This study examines the association of built environment attributes with spatiotemporal patterns of public bicycle use. The study observations are based on the rental records of YouBike, which is a public bicycle system (PBS) in Taipei Metropolitan Area, Taiwan, from July to December 2015. A hierarchical clustering method is applied to identify the spatiotemporal patterns of YouBike use, and multinomial logit regression is used to clarify the associations. Empirical results indicate that the spatiotemporal patterns of PBS utilization differ in weekdays and holidays and are associated with locations, land use and facilities in a city. The empirical evidence fills the knowledge gap on the factors associated with the spatiotemporal patterns of PBS use and provides system operators with a valuable basis for the integrated planning and management of PBSs and built environments.

Suggested Citation

  • Liu, Hung-Chi & Lin, Jen-Jia, 2019. "Associations of built environments with spatiotemporal patterns of public bicycle use," Journal of Transport Geography, Elsevier, vol. 74(C), pages 299-312.
    • Handle: RePEc:eee:jotrge:v:74:y:2019:i:c:p:299-312
    DOI: 10.1016/j.jtrangeo.2018.12.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692318305660
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2018.12.010?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. Faghih-Imani, Ahmadreza & Hampshire, Robert & Marla, Lavanya & Eluru, Naveen, 2017. "An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 177-191.
    2. Pierre Borgnat & Patrice Abry & Patrick Flandrin & Céline Robardet & Jean-Baptiste Rouquier & Eric Fleury, 2011. "Shared Bicycles In A City: A Signal Processing And Data Analysis Perspective," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 415-438.
    3. Tien Dung Tran & Nicolas Ovtracht & Bruno Faivre D’arcier, 2015. "Modeling Bike Sharing System using Built Environment Factors," Post-Print halshs-01474166, HAL.
    4. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system," Journal of Transport Geography, Elsevier, vol. 54(C), pages 218-227.
    5. Shaheen, Susan & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future," Institute of Transportation Studies, Working Paper Series qt79v822k5, Institute of Transportation Studies, UC Davis.
    6. Xiaolu Zhou, 2015. "Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-20, October.
    7. Cervero, Robert, 1988. "Land-Use Mixing and Suburban Mobility," University of California Transportation Center, Working Papers qt9w56k7x8, University of California Transportation Center.
    8. Shaheen, Susan A & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qg8q6ft, Institute of Transportation Studies, UC Berkeley.
    9. Delmelle, Eric M. & Delmelle, Elizabeth Cahill, 2012. "Exploring spatio-temporal commuting patterns in a university environment," Transport Policy, Elsevier, vol. 21(C), pages 1-9.
    10. Yanyong Guo & Jibiao Zhou & Yao Wu & Zhibin Li, 2017. "Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    11. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    12. Zhang, Ying & Thomas, Tom & Brussel, Mark & van Maarseveen, Martin, 2017. "Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China," Journal of Transport Geography, Elsevier, vol. 58(C), pages 59-70.
    13. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
    14. Faghih-Imani, Ahmadreza & Eluru, Naveen & El-Geneidy, Ahmed M. & Rabbat, Michael & Haq, Usama, 2014. "How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal," Journal of Transport Geography, Elsevier, vol. 41(C), pages 306-314.
    15. 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.
    16. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
    17. Vogel, Marie & Hamon, Ronan & Lozenguez, Guillaume & Merchez, Luc & Abry, Patrice & Barnier, Julien & Borgnat, Pierre & Flandrin, Patrick & Mallon, Isabelle & Robardet, Céline, 2014. "From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset," Journal of Transport Geography, Elsevier, vol. 41(C), pages 280-291.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gao, Kun & Yang, Ying & Li, Aoyong & Li, Junhong & Yu, Bo, 2021. "Quantifying economic benefits from free-floating bike-sharing systems: A trip-level inference approach and city-scale analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 89-103.
    2. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    3. Yi Yao & Yifang Zhang & Lixin Tian & Nianxing Zhou & Zhilin Li & Minggang Wang, 2019. "Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    4. Wang, Yacan & Li, Jingjing & Su, Duan & Zhou, Huiyu, 2023. "Spatial-temporal heterogeneity and built environment nonlinearity in inconsiderate parking of dockless bike-sharing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    5. Willberg, Elias & Salonen, Maria & Toivonen, Tuuli, 2021. "What do trip data reveal about bike-sharing system users?," Journal of Transport Geography, Elsevier, vol. 91(C).
    6. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).
    7. Namkung, Ok Stella & Park, Jonghan & Ko, Joonho, 2023. "Public bike users’ annual travel distance: Findings from combined data of user survey and annual rental records," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    8. Liu, Hung-Chi & Lin, Jen-Jia, 2022. "Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use," Transport Policy, Elsevier, vol. 126(C), pages 107-119.
    9. Xavier Bach & Carme Miralles-Guasch & Oriol Marquet, 2023. "Spatial Inequalities in Access to Micromobility Services: An Analysis of Moped-Style Scooter Sharing Systems in Barcelona," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    10. Xueying Wu & Yi Lu & Yaoyu Lin & Yiyang Yang, 2019. "Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas: A Big Data Approach," IJERPH, MDPI, vol. 16(15), pages 1-16, July.
    11. Dong, Xiaoyang & Zhang, Bin & Wang, Zhaohua, 2023. "Impact of land use on bike-sharing travel patterns: Evidence from large scale data analysis in China," Land Use Policy, Elsevier, vol. 133(C).
    12. Song, Jie & Zhang, Liye & Qin, Zheng & Ramli, Muhamad Azfar, 2021. "Where are public bikes? The decline of dockless bike-sharing supply in Singapore and its resulting impact on ridership activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 72-90.

    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. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    2. Elżbieta Macioszek & Paulina Świerk & Agata Kurek, 2020. "The Bike-Sharing System as an Element of Enhancing Sustainable Mobility—A Case Study based on a City in Poland," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    3. Liu, Hung-Chi & Lin, Jen-Jia, 2022. "Associations of built environments with spatiotemporal patterns of shared scooter use: A comparison with shared bike use," Transport Policy, Elsevier, vol. 126(C), pages 107-119.
    4. Namkung, Ok Stella & Park, Jonghan & Ko, Joonho, 2023. "Public bike users’ annual travel distance: Findings from combined data of user survey and annual rental records," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. 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.
    6. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    7. Dong, Xiaoyang & Zhang, Bin & Wang, Zhaohua, 2023. "Impact of land use on bike-sharing travel patterns: Evidence from large scale data analysis in China," Land Use Policy, Elsevier, vol. 133(C).
    8. Wang, Jueyu & Lindsey, Greg, 2019. "Neighborhood socio-demographic characteristics and bike share member patterns of use," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    9. Hyland, Michael & Hong, Zihan & Pinto, Helen Karla Ramalho de Farias & Chen, Ying, 2018. "Hybrid cluster-regression approach to model bikeshare station usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 71-89.
    10. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    11. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    12. Albiński, Szymon & Fontaine, Pirmin & Minner, Stefan, 2018. "Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 59-69.
    13. Fabio Kon & Éderson Cássio Ferreira & Higor Amario Souza & Fábio Duarte & Paolo Santi & Carlo Ratti, 2022. "Abstracting mobility flows from bike-sharing systems," Public Transport, Springer, vol. 14(3), pages 545-581, October.
    14. Song, Jie & Zhang, Liye & Qin, Zheng & Ramli, Muhamad Azfar, 2021. "Where are public bikes? The decline of dockless bike-sharing supply in Singapore and its resulting impact on ridership activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 72-90.
    15. Maas, Suzanne & Nikolaou, Paraskevas & Attard, Maria & Dimitriou, Loukas, 2021. "Examining spatio-temporal trip patterns of bicycle sharing systems in Southern European island cities," Research in Transportation Economics, Elsevier, vol. 86(C).
    16. Wang, Xudong & Cheng, Zhanhong & Trépanier, Martin & Sun, Lijun, 2021. "Modeling bike-sharing demand using a regression model with spatially varying coefficients," Journal of Transport Geography, Elsevier, vol. 93(C).
    17. Jain, Taru & Wang, Xinyi & Rose, Geoffrey & Johnson, Marilyn, 2018. "Does the role of a bicycle share system in a city change over time? A longitudinal analysis of casual users and long-term subscribers," Journal of Transport Geography, Elsevier, vol. 71(C), pages 45-57.
    18. Morton, Craig & Kelley, Scott & Monsuur, Fredrik & Hui, Tianwen, 2021. "A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London," Journal of Transport Geography, Elsevier, vol. 94(C).
    19. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    20. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.

    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:74:y:2019:i:c:p:299-312. 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.