IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i15p6124-d391836.html
   My bibliography  Save this article

Impact Evaluation of Bike-Sharing on Bicycling Accessibility

Author

Listed:
  • Mingzhu Song

    (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China)

  • Kaiping Wang

    (Department of Civil Engineering, Tsinghua University, Beijing 100084, China)

  • Yi Zhang

    (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
    Department of Automation, Tsinghua University, Beijing 100084, China)

  • Meng Li

    (Department of Civil Engineering, Tsinghua University, Beijing 100084, China)

  • He Qi

    (China Construction Science and Technology Group Cooperation, Shenzhen 518034, China)

  • Yi Zhang

    (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

Abstract

The presence of bike-sharing has a significant influence on the ease of trips by bike, which is one critical aspect of bicycling accessibility (BAcc). The existing measurements of BAcc rarely consider the factor of ownership of bikes, which means that no distinction is made between private-bikes and shared bikes. To measure BAcc more fully, this paper proposes a method to evaluate the influences of bike-sharing on BAcc and to perform the method on a real-world case study in Beijing. It is found that bike-sharing has a boosting effect on BAcc, and the increased rate of BAcc is significantly affected by bicycling frequency and shared-bike availability. A case study in Beijing utilizing geo-location data collected from two major bike-sharing companies (OFO and Mo-bike) illustrates the significance of the impact of bike-sharing on BAcc and the necessity to include bike-sharing in the measurement of BAcc. Besides, the case study shows BAcc around the transit station is better than that over the whole area. Given that bicycling feeds transit, this research lays the foundation for analyzing the combination of bike-sharing and transit from the perspective of accessibility and can further support transportation planning.

Suggested Citation

  • Mingzhu Song & Kaiping Wang & Yi Zhang & Meng Li & He Qi & Yi Zhang, 2020. "Impact Evaluation of Bike-Sharing on Bicycling Accessibility," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6124-:d:391836
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/15/6124/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/15/6124/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van Wee, Bert, 2016. "Accessible accessibility research challenges," Journal of Transport Geography, Elsevier, vol. 51(C), pages 9-16.
    2. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    3. Cherry, Christopher, 2007. "Electric Bike Use in China and Their Impacts on the Environment, Safety, Mobility and Accessibility," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8bn7v9jm, Institute of Transportation Studies, UC Berkeley.
    4. Shaheen, Susan PhD & Chan, Nelson, 2016. "Mobility and the Sharing Economy: Potential to Overcome First- and Last-Mile Public Transit Connections," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8042k3d7, Institute of Transportation Studies, UC Berkeley.
    5. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
    6. Mackie, P.J. & Jara-Díaz, S. & Fowkes, A.S., 0. "The value of travel time savings in evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 91-106, April.
    7. Lowry, Michael B. & Furth, Peter & Hadden-Loh, Tracy, 2016. "Prioritizing new bicycle facilities to improve low-stress network connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 124-140.
    8. Zuo, Ting & Wei, Heng & Rohne, Andrew, 2018. "Determining transit service coverage by non-motorized accessibility to transit: Case study of applying GPS data in Cincinnati metropolitan area," Journal of Transport Geography, Elsevier, vol. 67(C), pages 1-11.
    9. Martin, Elliot W. & Shaheen, Susan A., 2014. "Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities," Journal of Transport Geography, Elsevier, vol. 41(C), pages 315-324.
    10. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Development of destination choice models for pedestrian travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 255-265.
    11. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    12. Martin, Elliot PhD & Shaheen, Susan PhD, 2014. "Evaluating Public Transit Modal Shift Dynamics In Response to Bikesharing: A Tale of Two U.S. Cities," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6x29n876, Institute of Transportation Studies, UC Berkeley.
    13. Eric J. Miller, 2018. "Accessibility: measurement and application in transportation planning," Transport Reviews, Taylor & Francis Journals, vol. 38(5), pages 551-555, September.
    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. Andreas Nikiforiadis & Socrates Basbas & Foteini Mikiki & Aikaterini Oikonomou & Efrosyni Polymeroudi, 2021. "Pedestrians-Cyclists Shared Spaces Level of Service: Comparison of Methodologies and Critical Discussion," Sustainability, MDPI, vol. 13(1), pages 1-19, January.
    2. Diletta Antenucci & Gioia Caldarelli, 2022. "Debt advice for consumers: nature, European debate and implications for Italy," Questioni di Economia e Finanza (Occasional Papers) 740, Bank of Italy, Economic Research and International Relations Area.
    3. Mohammed Al-Turki & Arshad Jamal & Hassan M. Al-Ahmadi & Mohammed A. Al-Sughaiyer & Muhammad Zahid, 2020. "On the Potential Impacts of Smart Traffic Control for Delay, Fuel Energy Consumption, and Emissions: An NSGA-II-Based Optimization Case Study from Dhahran, Saudi Arabia," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
    4. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    5. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    6. Leonardo Caggiani & Rosalia Camporeale & Zahra Hamidi & Chunli Zhao, 2021. "Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    7. Liguo Lou & Lin Li & Sung-Byung Yang & Joon Koh, 2021. "Promoting User Participation of Shared Mobility in the Sharing Economy: Evidence from Chinese Bike Sharing Services," Sustainability, MDPI, vol. 13(3), pages 1-17, February.
    8. Yongji Jia & Wang Zeng & Yanting Xing & Dong Yang & Jia Li, 2020. "The Bike-Sharing Rebalancing Problem Considering Multi-Energy Mixed Fleets and Traffic Restrictions," Sustainability, MDPI, vol. 13(1), pages 1-15, December.

    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. Li, Aoyong & Huang, Yizhe & Axhausen, Kay W., 2020. "An approach to imputing destination activities for inclusion in measures of bicycle accessibility," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    3. Cao, Zhejing & Zhang, Xiaohu & Chua, Kelman & Yu, Honghai & Zhao, Jinhua, 2021. "E-scooter sharing to serve short-distance transit trips: A Singapore case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 177-196.
    4. Zhang, Xiang & Li, Wence, 2023. "Effects of a bike sharing system and COVID-19 on low-carbon traffic modal shift and emission reduction," Transport Policy, Elsevier, vol. 132(C), pages 42-64.
    5. 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.
    6. 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).
    7. 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.
    8. Chen, Zhiwei & Guo, Yujie & Stuart, Amy L. & Zhang, Yu & Li, Xiaopeng, 2019. "Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 529-545.
    9. Cheng, Long & Wang, Kailai & De Vos, Jonas & Huang, Jie & Witlox, Frank, 2022. "Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 175-187.
    10. Tang, Jinjun & Gao, Fan & Han, Chunyang & Cen, Xuekai & Li, Zhitao, 2021. "Uncovering the spatially heterogeneous effects of shared mobility on public transit and taxi," Journal of Transport Geography, Elsevier, vol. 95(C).
    11. 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).
    12. Xinwei Ma & Ruiming Cao & Jianbiao Wang, 2019. "Effects of Psychological Factors on Modal Shift from Car to Dockless Bike Sharing: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    13. Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    14. Wichman, Casey J. & Cunningham, Brandon, 2023. "Notching for free: Do cyclists reveal the opportunity cost of time?," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    15. Yi Zhu, 2022. "Can bicycle sharing mitigate vehicle emission in Chinese large cities? Estimation based on mode shift analysis," Transportation, Springer, vol. 49(6), pages 1627-1648, December.
    16. Hu, Beibei & Zhong, Zhenfang & Zhang, Yanli & Sun, Yue & Jiang, Li & Dong, Xianlei & Sun, Huijun, 2022. "Understanding the influencing factors of bicycle-sharing demand based on residents’ trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    17. Link, Christoph & Strasser, Christoph & Hinterreiter, Michael, 2020. "Free-floating bikesharing in Vienna – A user behaviour analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 168-182.
    18. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    19. Chih-Hao Wang & Na Chen, 2021. "A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths," Transportation, Springer, vol. 48(4), pages 1967-1986, August.
    20. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).

    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:12:y:2020:i:15:p:6124-:d:391836. 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.