IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1664-d154536.html
   My bibliography  Save this article

Free-Floating Bike Sharing in Jiangsu: Users’ Behaviors and Influencing Factors

Author

Listed:
  • Xuefeng Li

    (School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China)

  • Yong Zhang

    (School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China)

  • Li Sun

    (School of Sociology and Social Policy, University of Leeds, Leeds LS2 9JT, UK)

  • Qiyang Liu

    (Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK)

Abstract

In order to explore the factors affecting users’ behaviors in a free-floating bike sharing (FFBS) system in China, a survey was conducted in Jiangsu province, China in 2017, and the travel characteristics of FFBS users were analyzed. A binary logistic model was applied to quantify the impact of various variables regarding residents’ usage preference based on 30401 valid questionnaires. The findings show that (1) FFBS was mainly used for short-distance travel in cities, especially for commuting and schooling, and the time period of travel in FFBS coincided with the rush-hour in urban areas; (2) a higher level of education, a higher daily transportation cost, the convenience of picking up and parking, and the contribution to users’ health could promote the usage of FFBS, while malfunctioning bicycles and limited regulations were major obstacles restricting the development of FFBS; (3) interestingly, people with high-incomes rather than those with low-incomes showed an inclination for FFBS owing to the charge mode. This research provides empirical evidence to facilitate the formulation of urban transportation policies and to improve the management of FFBS for the operators.

Suggested Citation

  • Xuefeng Li & Yong Zhang & Li Sun & Qiyang Liu, 2018. "Free-Floating Bike Sharing in Jiangsu: Users’ Behaviors and Influencing Factors," Energies, MDPI, vol. 11(7), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1664-:d:154536
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1664/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/7/1664/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tien Dung Tran & Nicolas Ovtracht & Bruno Faivre d'Arcier, 2015. "Modeling Bike Sharing System using Built Environment Factors," Post-Print halshs-01474166, HAL.
    2. Fishman, Elliot & Washington, Simon & Haworth, Narelle & Mazzei, Armando, 2014. "Barriers to bikesharing: an analysis from Melbourne and Brisbane," Journal of Transport Geography, Elsevier, vol. 41(C), pages 325-337.
    3. Kyung Hwan Lee & Eun Jeong Ko, 2014. "Relationships between neighbourhood environments and residents' bicycle mode choice: a case study of Seoul," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(3), pages 383-395, November.
    4. 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.
    5. Shaheen, Susan PhD & Cohen, Adam & Martin, Elliot PhD, 2013. "Public Bikesharing in North America: Early Operator Understanding and Emerging Trends," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1x26m6z7, Institute of Transportation Studies, UC Berkeley.
    6. Corcoran, Jonathan & Li, Tiebei & Rohde, David & Charles-Edwards, Elin & Mateo-Babiano, Derlie, 2014. "Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events," Journal of Transport Geography, Elsevier, vol. 41(C), pages 292-305.
    7. Cui, Yuchen & Mishra, Sabyasachee & Welch, Timothy F., 2014. "Land use effects on bicycle ridership: a framework for state planning agencies," Journal of Transport Geography, Elsevier, vol. 41(C), pages 220-228.
    8. Ranran Yang & Ruyin Long, 2016. "Analysis of the Influencing Factors of the Public Willingness to Participate in Public Bicycle Projects and Intervention Strategies—A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 8(4), pages 1-16, April.
    9. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    10. Zhao, Jinbao & Deng, Wei & Song, Yan, 2014. "Ridership and effectiveness of bikesharing: The effects of urban features and system characteristics on daily use and turnover rate of public bikes in China," Transport Policy, Elsevier, vol. 35(C), pages 253-264.
    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. 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).
    2. Tianjian Yang & Ye Li & Simin Zhou & Yu Zhang, 2019. "Dynamic Feedback Analysis of Influencing Factors and Challenges of Dockless Bike-Sharing Sustainability in China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    3. Zhou, Yu & Chen, Yang & Liu, Shenyan & Kou, Gang, 2024. "Availability simulation and transfer prediction for bike sharing systems based on discrete event simulation," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    4. Cheng, Peng & OuYang, Zhe & Liu, Yang, 2019. "Understanding bike sharing use over time by employing extended technology continuance theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 433-443.
    5. Cheng, Long & Yang, Junjian & Chen, Xuewu & Cao, Mengqiu & Zhou, Hang & Sun, Yu, 2020. "How could the station-based bike sharing system and the free-floating bike sharing system be coordinated?," Journal of Transport Geography, Elsevier, vol. 89(C).
    6. 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).
    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. Si, Hongyun & Su, Yangyue & Wu, Guangdong & Liu, Bingsheng & Zhao, Xianbo, 2020. "Understanding bike-sharing users’ willingness to participate in repairing damaged bicycles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 203-220.
    9. Meng, Si'an & Brown, Anne, 2021. "Docked vs. dockless equity: Comparing three micromobility service geographies," Journal of Transport Geography, Elsevier, vol. 96(C).
    10. Daozhi Zhao & Di Wang, 2019. "The Research of Tripartite Collaborative Governance on Disorderly Parking of Shared Bicycles Based on the Theory of Planned Behavior and Motivation Theories—A Case of Beijing, China," Sustainability, MDPI, vol. 11(19), pages 1-21, September.

    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. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    2. 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.
    3. 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).
    4. 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.
    5. Yi-Wen Kuo & Cheng-Hsien Hsieh & Yu-Chen Hung, 2021. "Non-linear characteristics in switching intention to use a docked bike-sharing system," Transportation, Springer, vol. 48(3), pages 1459-1479, June.
    6. Yi-Wen Kuo & Cheng-Hsien Hsieh & Yu-Chen Hung, 0. "Non-linear characteristics in switching intention to use a docked bike-sharing system," Transportation, Springer, vol. 0, pages 1-21.
    7. 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.
    8. Tomasz Bieliński & Agnieszka Kwapisz & Agnieszka Ważna, 2019. "Bike-Sharing Systems in Poland," Sustainability, MDPI, vol. 11(9), pages 1-14, April.
    9. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    10. Médard de Chardon, Cyrille & Caruso, Geoffrey & Thomas, Isabelle, 2017. "Bicycle sharing system ‘success’ determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 202-214.
    11. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    12. Zijia Wang & Lei Cheng & Yongxing Li & Zhiqiang Li, 2020. "Spatiotemporal Characteristics of Bike-Sharing Usage around Rail Transit Stations: Evidence from Beijing, China," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    13. Jinyi Zhou & Changyuan Jing & Xiangjun Hong & Tian Wu, 2019. "Winter Sabotage: The Three-Way Interactive Effect of Gender, Age, and Season on Public Bikesharing Usage," Sustainability, MDPI, vol. 11(11), pages 1-14, June.
    14. 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).
    15. Li, Shaoying & Zhuang, Caigang & Tan, Zhangzhi & Gao, Feng & Lai, Zhipeng & Wu, Zhifeng, 2021. "Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China," Journal of Transport Geography, Elsevier, vol. 91(C).
    16. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    17. Médard de Chardon, Cyrille & Caruso, Geoffrey, 2015. "Estimating bike-share trips using station level data," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 260-279.
    18. 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.
    19. Cheng, Long & Yang, Junjian & Chen, Xuewu & Cao, Mengqiu & Zhou, Hang & Sun, Yu, 2020. "How could the station-based bike sharing system and the free-floating bike sharing system be coordinated?," Journal of Transport Geography, Elsevier, vol. 89(C).
    20. 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.

    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:jeners:v:11:y:2018:i:7:p:1664-:d:154536. 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.