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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
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    References listed on IDEAS

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    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)

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