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Predicting Public Bicycle Adoption Using the Technology Acceptance Model

Author

Listed:
  • Benjamin T. Hazen

    (Department of Marketing and Supply Chain Management, University of Tennessee, Knoxville, TN 37996, USA
    Department of Operational Sciences, Air Force Institute of Technology, Wright-Patterson AFB, OH 45433-7765, USA)

  • Robert E. Overstreet

    (Department of Operational Sciences, Air Force Institute of Technology, Wright-Patterson AFB, OH 45433-7765, USA)

  • Yacan Wang

    (Department of Economics, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in Beijing, China, the proposed covariance-based structural equation model consisting of perceived quality, perceived convenience, and perceived value is found to predict 50.5% of the variance in adoption intention. The findings of this research contribute to theory and practice in the burgeoning literature on public bicycle systems and sustainable urban transportation by offering a theoretical lens through which to consider system adoption, and providing information to practitioners as to what factors might contribute most to adoption.

Suggested Citation

  • Benjamin T. Hazen & Robert E. Overstreet & Yacan Wang, 2015. "Predicting Public Bicycle Adoption Using the Technology Acceptance Model," Sustainability, MDPI, vol. 7(11), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:11:p:14558-14573:d:58026
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    References listed on IDEAS

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    Cited by:

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    3. den Steen, Nikolaas Van & Cappelle, Jan & Vanhaverbeke, Lieselot, 2025. "Adoption of speed pedelecs as a commuting vehicle: Investigating the influence of a test period," Transportation Research Part A: Policy and Practice, Elsevier, vol. 194(C).
    4. Hyeongjin Ahn & Eunil Park, 2022. "For sustainable development in the transportation sector: Determinants of acceptance of sustainable transportation using the innovation diffusion theory and technology acceptance model," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1169-1183, October.
    5. Matthias Klumpp, 2016. "To Green or Not to Green: A Political, Economic and Social Analysis for the Past Failure of Green Logistics," Sustainability, MDPI, vol. 8(5), pages 1-22, May.
    6. Synek, Stefan & Koenigstorfer, Joerg, 2018. "Exploring adoption determinants of tax-subsidized company-leasing bicycles from the perspective of German employers and employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 238-260.
    7. Linfeng Li & Miyuan Shan, 2016. "Bidirectional Incentive Model for Bicycle Redistribution of a Bicycle Sharing System during Rush Hour," Sustainability, MDPI, vol. 8(12), pages 1-15, December.
    8. Francisco Liébana-Cabanillas & Inmaculada García-Maroto & Francisco Muñoz-Leiva & Iviane Ramos-de-Luna, 2020. "Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay," Sustainability, MDPI, vol. 12(13), pages 1-15, July.
    9. Fanying Zheng & Fu Gu & Wujie Zhang & Jianfeng Guo, 2019. "Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    10. Neves, C. & Oliveira, T. & Santini, F., 2022. "Sustainable technologies adoption research: A weight and meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    11. Jieh-Haur Chen & Ha Thi Thu Nguyen & Chien-Cheng Chou & Jui-Pin Wang & Ting-Kwei Wang, 2021. "Transit-Oriented Development: Exploring Citizen Perceptions in a Booming City, Can Tho City, Vietnam," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    12. Wang, Yacan & Douglas, Matthew & Hazen, Benjamin, 2021. "Diffusion of public bicycle systems: Investigating influences of users’ perceived risk and switching intention," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 1-13.
    13. Jian-gang Shi & Hongyun Si & Guangdong Wu & Yangyue Su & Jing Lan, 2018. "Critical Factors to Achieve Dockless Bike-Sharing Sustainability in China: A Stakeholder-Oriented Network Perspective," Sustainability, MDPI, vol. 10(6), pages 1-16, June.

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