IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i6p2569-d1360887.html
   My bibliography  Save this article

Spatial Analysis of Bike-Sharing Ridership for Sustainable Transportation in Houston, Texas

Author

Listed:
  • Bumseok Chun

    (Urban Planning and Environmental Policy, Texas Southern University, Houston, TX 77004, USA)

  • Anh Nguyen

    (Urban Planning and Environmental Policy, Texas Southern University, Houston, TX 77004, USA)

  • Qisheng Pan

    (Department of Public Affairs and Planning, University of Texas at Arlington, Arlington, TX 76019, USA)

  • Elaheh Mirzaaghazadeh

    (Management Information Systems, University of Massachusetts at Lowell, Lowell, MA 01854, USA)

Abstract

This study aims to analyze bike-sharing information and related urban factors to promote bike-sharing utilization in Houston, Texas. The research was initiated with a descriptive analysis, where the hourly and daily variations in bike demand are investigated, thereby revealing the time-related patterns of bike tours. The models included data on socio-demographics, public transportation availability, land use patterns, tree canopy coverage, bike routes, and job density within 0.25-mile and 0.5-mile buffer zones around each bike-sharing station. Stepwise regression was utilized to examine the effects of urban factors on bike-sharing ridership, and the explanatory power of the model was enhanced by selecting meaningful variables. The analysis found that tree canopy coverage was a significant factor in influencing bike-sharing ridership. Expansion of tree coverage can help make biking a sustainable mode of transportation. These findings have the potential to guide the development of practical policies that aim to promote sustainable urban mobility through bike-sharing programs.

Suggested Citation

  • Bumseok Chun & Anh Nguyen & Qisheng Pan & Elaheh Mirzaaghazadeh, 2024. "Spatial Analysis of Bike-Sharing Ridership for Sustainable Transportation in Houston, Texas," Sustainability, MDPI, vol. 16(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2569-:d:1360887
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/6/2569/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/6/2569/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Cervero, 2007. "Transit-Oriented Development's Ridership Bonus: A Product of Self-Selection and Public Policies," Environment and Planning A, , vol. 39(9), pages 2068-2085, September.
    2. 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.
    3. 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.
    4. Yang, Liya & Shen, Qing & Li, Zhibin, 2016. "Comparing travel mode and trip chain choices between holidays and weekdays," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 273-285.
    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. 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. Yixiao Li & Zhaoxin Dai & Lining Zhu & Xiaoli Liu, 2019. "Analysis of Spatial and Temporal Characteristics of Citizens’ Mobility Based on E-Bike GPS Trajectory Data in Tengzhou City, China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    3. Hua, Mingzhuang & Chen, Xuewu & Chen, Jingxu & Huang, Di & Cheng, Long, 2022. "Large-scale dockless bike sharing repositioning considering future usage and workload balance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    4. 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).
    5. Wu, Chunliang & Kim, Inhi, 2020. "Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 52-71.
    6. Gregory Thompson & Jeffrey Brown & Torsha Bhattacharya, 2012. "What Really Matters for Increasing Transit Ridership: Understanding the Determinants of Transit Ridership Demand in Broward County, Florida," Urban Studies, Urban Studies Journal Limited, vol. 49(15), pages 3327-3345, November.
    7. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
    8. Zhaowei Yin & Yuanyuan Guo & Mengshu Zhou & Yixuan Wang & Fengliang Tang, 2024. "Integration between Dockless Bike-Sharing and Buses: The Effect of Urban Road Network Characteristics," Land, MDPI, vol. 13(8), pages 1-27, August.
    9. 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.
    10. Wan, Li & Tang, Junqing & Wang, Lihua & Schooling, Jennifer, 2021. "Understanding non-commuting travel demand of car commuters – Insights from ANPR trip chain data in Cambridge," Transport Policy, Elsevier, vol. 106(C), pages 76-87.
    11. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    12. Chiu, Bing-yu, 2023. "Relationship between motorcycle travel and the built environment: Evidence from Taipei, Taiwan," Journal of Transport Geography, Elsevier, vol. 110(C).
    13. Ao, Yibin & Zhang, Yuting & Wang, Yan & Chen, Yunfeng & Yang, Linchuan, 2020. "Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan," Journal of Transport Geography, Elsevier, vol. 85(C).
    14. Gao, Jie & Kamphuis, Carlijn B.M. & Helbich, Marco & Ettema, Dick, 2020. "What is ‘neighborhood walkability’? How the built environment differently correlates with walking for different purposes and with walking on weekdays and weekends," Journal of Transport Geography, Elsevier, vol. 88(C).
    15. Qiang Yan & Kun Gao & Lijun Sun & Minhua Shao, 2020. "Spatio-Temporal Usage Patterns of Dockless Bike-Sharing Service Linking to a Metro Station: A Case Study in Shanghai, China," Sustainability, MDPI, vol. 12(3), pages 1-14, January.
    16. 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.
    17. Van Veghel, Daniel & Scott, Darren M., 2024. "Investigating the impacts of bike lanes on bike share ridership: A holistic approach and demonstration," Journal of Transport Geography, Elsevier, vol. 115(C).
    18. Roberto Battistini & Luca Mantecchini & Maria Nadia Postorino, 2020. "Users’ Acceptance of Connected and Automated Shuttles for Tourism Purposes: A Survey Study," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    19. Florian Schneider & Danique Ton & Lara-Britt Zomer & Winnie Daamen & Dorine Duives & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 2021. "Trip chain complexity: a comparison among latent classes of daily mobility patterns," Transportation, Springer, vol. 48(2), pages 953-975, April.
    20. Lili Yang & Simeng Fei & Hongfei Jia & Jingdong Qi & Luyao Wang & Xinning Hu, 2023. "Study on the Relationship between the Spatial Distribution of Shared Bicycle Travel Demand and Urban Built Environment," Sustainability, MDPI, vol. 15(18), pages 1-16, September.

    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:gam:jsusta:v:16:y:2024:i:6:p:2569-:d:1360887. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.