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All issues Volume 153 (2023) SHS Web Conf., 153 (2023) 01010 References
Open Access
Issue
SHS Web Conf.
Volume 153, 2023
The Fifth International Conference on Social Science, Public Health and Education (SSPHE2022)
Article Number 01010
Number of page(s) 8
DOI https://doi.org/10.1051/shsconf/202315301010
Published online 10 January 2023
  1. C C. Xu, J. Ji, P. Liu, The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets. Transportation Research Part C, 95, 4760 (2018) [Google Scholar]
  2. C. Schmidt, Active Travel for All? The Surge in Public Bike-Sharing Programs, Environmental Health Perspectives 082001-1 126(8) (2018). A Section 508conformant HTML version of this article is available at https://doi.org/10.1289/EHP3754 [Google Scholar]
  3. JG. Shi, H Y. Si, G. Wu., Y Y. Su, J. Lan, Critical factors to achieve dockless bikesharing sustainability in china: a stakeholder-oriented network perspective. Sustainability, 10, 2090 (2018) [CrossRef] [Google Scholar]
  4. T, Koglin & D, Mukhtar-Landgren. Contested values in bike-sharing mobilities A case study from Sweden. Journal of Transport Geography, 92, [103026] (2021). https://doi.org/10.1016/j.jtrangeo.2021.103026 [CrossRef] [Google Scholar]
  5. J. Sotoa, L. Marquezb, J. Macea, Accounting for attitudes on parking choice: An integrated choice and latent variable approach. Transportation Research Part A. 111, 65-77 (2018) [Google Scholar]
  6. Y. Ouyan, B. Guo, S. Member, IEEE, Lu XJ, T. Guo, Yu, Zw., competitive bike:competitive analysis and popularity prediction of bike-sharing apps using multisource data, IEEE trasacrion on mobile computong, 14(8) ( 2017) [Google Scholar]
  7. T, Koglin, A Critical Analysis of Planning and Space. Doctoral Dissertation. Lund University, Department of Technology and society, Transport and Roads, 2013, Bulletin 284. (2013) [Google Scholar]
  8. A. Van Waes, J. Farla, R. Raven, Why do companies’ institutional strategies differ across cities? A cross-case analysis of bike sharing in Shanghai & Amsterdam. Environ. Innov. Soc. Transit. 36, 151-163 (2020) [CrossRef] [Google Scholar]
  9. Y. Ma, J. Lan, T. Thomas, D. Mangalagiu, D. Zhu, challenges of collaborantove governance in the sharing economy: the case of free floating bike sharing in shanghai. Journal of Cleaner Production. 197, 356-365 (2018) [CrossRef] [Google Scholar]
  10. F Y. Sun, P. Chenb, J. Jiao, Promoting public bike sharing: a lesson from the unsuccessful Pronto system. Transportation Research Part D, 63, 533-547 (2018). [CrossRef] [Google Scholar]
  11. Y. Pei, S. Wang, J. Fan, M. Zhang, An empirical study in the impact of perceived benefit, risk and trust on e-payment adoption: comparing quick pay and union pay in China. 2015 7th international conference on intelligent human machine systems and cybernetics (2015) [Google Scholar]
  12. L. Lou, L. Li, S. Yang, J. Koh, Promoting User Participation of Shared Mobility in the Sharing Economy: Evidence from Chinese Bike Sharing Services. Sustainability, 13, 1533 (2021). https://doi.org/10.3390/su13031533. [CrossRef] [Google Scholar]
  13. Q. Yang, C. Pang, L, Liu, C Y. David, J M. Tarn, exploring consumer perceived risk and trust for online payment: an empirical study in china’s younger generation. Computers In Human Behaviour, 50, 9-24 (2015) [CrossRef] [Google Scholar]
  14. A V. Waes, J. Farla, K. Frenken, J. Jong, R. Raven, Business model innovation and socio-technical transitions. A new prospective framework with an application to bike sharing. Journal Of Cleaner Production, 195, 1300-1312 (2018) [CrossRef] [Google Scholar]
  15. Z. Haidera, A. Nikolaevb, J. Kangb, C. Kwona, Inventory rebalancing through pricing in public bike sharing systems. European Journal of Operational Reserch, 270, 103-117 (2018) [CrossRef] [Google Scholar]
  16. M. Rehnlund, Getting the Transport Right for What? What Transport Policy can tell us About the Construction of Sustainability, 166. So 'derto 'in University. Doctoral Dissertations. (2019) [Google Scholar]

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