IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0229458.html
   My bibliography  Save this article

How to improve users’ intentions to continued usage of shared bicycles: A mixed method approach

Author

Listed:
  • Wang Zhanyou
  • Han Dongmei
  • Zhao Yaopei

Abstract

Sharing the use of a bicycle in China has changed people’s daily travel modes. Existing studies mainly explored the factors affecting individuals’ initial intentions to start using a shared bicycle, but few looked at the likelihood that a user would continue using one. Based on a post-acceptance model of information system (IS) continuance, this investigation proposed a research model to investigate factors influencing riders’ intentions to continued usage of shared bikes. Analysis involved structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) on data from 376 shared bicycle riders. The results from SEM showed that perceived usefulness, service quality, riders’ habits, overall satisfaction and the nature of the weather were the most important factors positively influencing users’ intentions to continue bike sharing. The results from fsQCA showed that six combinations of these variables were sufficient to explain continued usage. The conclusions of this study can be useful for operators to improve shared bicycle services.

Suggested Citation

  • Wang Zhanyou & Han Dongmei & Zhao Yaopei, 2020. "How to improve users’ intentions to continued usage of shared bicycles: A mixed method approach," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-16, February.
    • Handle: RePEc:plo:pone00:0229458
    DOI: 10.1371/journal.pone.0229458
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0229458
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0229458&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0229458?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. Wen-Lung Shiau & Margaret Luo, 2013. "Continuance intention of blog users: the impact of perceived enjoyment, habit, user involvement and blogging time," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(6), pages 570-583.
    2. Katja Petrowski & Sören Kliem & Cornelia Albani & Andreas Hinz & Elmar Brähler, 2019. "Norm values and psychometric properties of the short version of the Trier Inventory for Chronic Stress (TICS) in a representative German sample," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-12, November.
    3. Yao Yao & Linwei Liu & Zibin Guo & Ziheng Liu & Huiyu Zhou, 2018. "Experimental Study on Shared Bike Use Behavior under Bounded Rational Theory and Credit Supervision Mechanism," Sustainability, MDPI, vol. 11(1), pages 1-23, December.
    4. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    5. 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.
    6. Kyle Gebhart & Robert Noland, 2014. "The impact of weather conditions on bikeshare trips in Washington, DC," Transportation, Springer, vol. 41(6), pages 1205-1225, November.
    7. 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.
    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. Xue, Mengtian & Zhang, Bin & Chen, Siyuan & Zhao, Yuandong & Wang, Zhaohua, 2024. "How does extreme temperature affect shared travel? Evidence from bike-sharing order flow in China," Journal of Transport Geography, Elsevier, vol. 118(C).
    3. 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).
    4. Bakó, Barna & Isztin, Péter & Berezvai, Zombor & Cseke, Petra Zsuzsanna, 2019. "Infrastruktúra-bővítés világversenyek idején. A Mol Bubi esete a FINA világbajnoksággal [Infrastructural investments for international sports events. Network expansion of the MOL Bubi bicycle-shari," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 4-21.
    5. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    6. Tomasz Bieliński & Agnieszka Kwapisz & Agnieszka Ważna, 2019. "Bike-Sharing Systems in Poland," Sustainability, MDPI, vol. 11(9), pages 1-14, April.
    7. 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.
    8. Mariano J. Rabassa & Mariana Conte Grand & Christian M. García-Witulski, 2021. "Heat warnings and avoidance behavior: evidence from a bike-sharing system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(1), pages 1-28, January.
    9. Hyungkyoo Kim, 2020. "Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    10. 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.
    11. 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.
    12. Chiou, Yu-Chiun & Wu, Kuo-Chi, 2024. "Bikesharing: The first- and last-mile service of public transportation? Evidence from an origin–destination perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    13. Todd, James & O'Brien, Oliver & Cheshire, James, 2021. "A global comparison of bicycle sharing systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    14. Bean, Richard & Pojani, Dorina & Corcoran, Jonathan, 2021. "How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones," Journal of Transport Geography, Elsevier, vol. 95(C).
    15. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," Papers 2107.11589, arXiv.org.
    16. Suzanne Maas & Paraskevas Nikolaou & Maria Attard & Loukas Dimitriou, 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    17. 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).
    18. Wang, Haoyun & Noland, Robert B., 2021. "Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City," Transport Policy, Elsevier, vol. 106(C), pages 262-270.
    19. 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.
    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.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0229458. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.