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Understanding bike sharing use over time by employing extended technology continuance theory

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  • Cheng, Peng
  • OuYang, Zhe
  • Liu, Yang

Abstract

The wide acceptance of bike sharing services depends on the consumers’ continuing use of bike sharing services. Facilitating users’ continuance intentions and retaining consumers are important to bike sharing service providers and governments. Following extended technology continuance theory and incorporating perceived risk, we aim to identify factors that affect bike sharing services’ continuance intentions in this study. We use a questionnaire survey involving 559 respondents to conduct data analysis with structural equation modeling. Our empirical results demonstrate that the extended technology continuance theory could provide a strong rationale in the investigation of continuance intention to adopt bike sharing services. Perceived usefulness, satisfaction, and attitude are positively associated with continuance intention. Perceived usefulness also positively impacts satisfaction and attitude. Perceived risk tends to be negatively related to satisfaction. Additionally, confirmation can positively impact perceived usefulness and perceived ease of use. Perceived ease of use is positively associated with perceived usefulness and attitude.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transa:v:124:y:2019:i:c:p:433-443
    DOI: 10.1016/j.tra.2019.04.013
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    9. 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.
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    14. Bergantino, Angela Stefania & Intini, Mario & Tangari, Luca, 2021. "Influencing factors for potential bike-sharing users: an empirical analysis during the COVID-19 pandemic," Research in Transportation Economics, Elsevier, vol. 86(C).
    15. Samadzad, Mahdi & Nosratzadeh, Hossein & Karami, Hossein & Karami, Ali, 2023. "What are the factors affecting the adoption and use of electric scooter sharing systems from the end user's perspective?," Transport Policy, Elsevier, vol. 136(C), pages 70-82.
    16. Ekramifard, Ali & Khademi, Navid & Chaiyasarn, Krisada & Zheng, Zuduo, 2024. "Disability-specific factors in paratransit system continuance: Implications for transportation policy and practice in low-income developing countries," Transport Policy, Elsevier, vol. 153(C), pages 173-189.
    17. 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.
    18. Byoungsoo Kim & Daekil Kim, 2020. "Exploring the Key Antecedents Influencing Consumer’s Continuance Intention toward Bike-Sharing Services: Focus on China," IJERPH, MDPI, vol. 17(12), pages 1-14, June.
    19. Hui Bi & Zhirui Ye & He Zhu, 2024. "Mining bike sharing trip record data: a closer examination of the operating performance at station level," Transportation, Springer, vol. 51(3), pages 1015-1041, June.
    20. Jaiswal, Deepak & Kaushal, Vikrant & Kant, Rishi & Kumar Singh, Pankaj, 2021. "Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    21. 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.
    22. Jaiswal, Deepak & Deshmukh, Arun Kumar & Thaichon, Park, 2022. "Who will adopt electric vehicles? Segmenting and exemplifying potential buyer heterogeneity and forthcoming research," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    23. 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.

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