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The determinants of shared bike use in China

Abstract

Free-floating bike share (FBS) represents a new generation of bike share schemes and provides mobility opportunities that influence people’s daily travel. Understanding the determinants of FBS use can provide a basis for the further development of bike share programs and support related policymaking. Previous studies have used survey data with rather small samples and have focused only on FBS users while ignoring nonusers. The influences of information and communication technology (ICT) use and social context are under-researched. By using a dataset that is nationally representative of the potential users of FBS in China, this study applied a two-stage Bayesian multilevel hurdle model to investigate participation in and the corresponding usage of FBS. The independent variables include sociodemographics, ICT use, travel characteristics, physical environment, and social context. We found that ICT use has a significant effect on both participation in and the usage of FBS, social context only has a significant effect on participation in FBS, and age and annual individual income have nonlinear effects on the usage of FBS. This study provides policymakers and FBS operators with suggestions for promoting FBS use.

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Data availability

The original dataset is available for public download and use upon request from China Household Finance Survey website https://chfs.swufe.edu.cn/, administered by the Survey and Research Center for China Household Finance of the Southwestern University of Finance and Economics.

References

  1. Bürkner, P.: Brms: an R package for bayesian multilevel models using stan. J. Stat. Softw. (2017). https://doi.org/10.18637/jss.v080.i01

    Article  Google Scholar 

  2. Cameron, A.C., Trivedi, P.K.: Regression-based tests for overdispersion in the Poisson model. J. Econom. 46(3), 347–364 (1990). https://doi.org/10.1016/0304-4076(90)90014-K

    Article  Google Scholar 

  3. Campbell, A.A., Cherry, C.R., Ryerson, M.S., Yang, X.: Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transp. Res. Part C Emerg. Technol. 67, 399–414 (2016). https://doi.org/10.1016/j.trc.2016.03.004

    Article  Google Scholar 

  4. Chen, M., Wang, D., Sun, Y., Waygood, E.O.D., Yang, W.: A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China. Transportation 47(2), 689–704 (2020a). https://doi.org/10.1007/s11116-018-9910-7

    Article  Google Scholar 

  5. Chen, Z., van Lierop, D., Ettema, D.: Dockless bike-sharing systems: what are the implications? Transp. Rev. 40(3), 333–353 (2020b). https://doi.org/10.1080/01441647.2019.1710306

    Article  Google Scholar 

  6. Cycling report of major cities in China 2017 Q4. Ofo, China Academy of Transportation Science. https://www.sohu.com/a/216562254_99949100 (2018) Accessed 20 Feb 2021

  7. de Geus, B., De Bourdeaudhuij, I., Jannes, C., Meeusen, R.: Psychosocial and environmental factors associated with cycling for transport among a working population. Health Educ. Res. 23(4), 697–708 (2007). https://doi.org/10.1093/her/cym055

    Article  Google Scholar 

  8. DeMaio, P.: Bike-sharing: history impacts, models of provision, and future. J. Public Transp. 12(4), 41–56 (2009). https://doi.org/10.5038/2375-0901.12.4.3

    Article  Google Scholar 

  9. Du, M., Cheng, L.: Better understanding the characteristics and influential factors of different travel patterns in free-floating bike sharing: evidence from Nanjing, China. Sustainability 10(4), 1244 (2018). https://doi.org/10.3390/su10041244

    Article  Google Scholar 

  10. Du, Y., Deng, F., Liao, F.: A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system. Transp. Res. Part C Emerg. Technol. 103, 39–55 (2019). https://doi.org/10.1016/j.trc.2019.04.006

    Article  Google Scholar 

  11. Fishman, E.: Bikeshare: a review of recent literature. Transp. Rev. 36(1), 92–113 (2016). https://doi.org/10.1080/01441647.2015.1033036

    Article  Google Scholar 

  12. Fishman, E., Washington, S., Haworth, N.: Bike share: a synthesis of the literature. Transp. Rev. 33(2), 148–165 (2013)

    Article  Google Scholar 

  13. Gan, L., Yin, Z., Jia, N., Xu, S., Ma, S., Zheng, L.: Data you need to know about China. Springer, Heidelberg (2014)

    Book  Google Scholar 

  14. Gu, T., Kim, I., Currie, G.: To be or not to be dockless: empirical analysis of dockless bikeshare development in China. Transp. Res. Part A Policy Pract. 119, 122–147 (2019). https://doi.org/10.1016/j.tra.2018.11.007

    Article  Google Scholar 

  15. Guidon, S., Becker, H., Dediu, H., Axhausen, K.W.: Electric bicycle-sharing: a new competitor in the urban transportation market? An empirical analysis of transaction data. Transp. Res. Rec. J. Transp. Res. Board. 2673(4), 15–26 (2019). https://doi.org/10.1177/0361198119836762

    Article  Google Scholar 

  16. Guidon, S., Reck, D.J., Axhausen, K.: Expanding a(n) (electric) bicycle-sharing system to a new city: prediction of demand with spatial regression and random forests. J. Transp. Geogr. 84, 102692 (2020). https://doi.org/10.1016/j.jtrangeo.2020.102692

    Article  Google Scholar 

  17. Handy, S.L., Xing, Y., Buehler, T.J.: Factors associated with bicycle ownership and use: a study of six small U.S Cities. Transportation 37(6), 967–985 (2010). https://doi.org/10.1007/s11116-010-9269-x

    Article  Google Scholar 

  18. Heinen, E., Maat, K., Wee, B.V.: The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances. Transp. Res. Part D Transp. Environ. 16(2), 102–109 (2011). https://doi.org/10.1016/j.trd.2010.08.010

    Article  Google Scholar 

  19. Hirsch, J.A., Stratton-Rayner, J., Winters, M., Stehlin, J., Hosford, K., Mooney, S.J.: Roadmap for free-floating bikeshare research and practice in North America. Transp. Rev. 39(6), 706–732 (2019). https://doi.org/10.1080/01441647.2019.1649318

    Article  Google Scholar 

  20. How cycling changes cities: insights on how bikesharing supports urban development. World Resources Institute, Mobike Global. https://mobike.com/global/blog/post/cycling-changes-cities (2018) Accessed 20 Feb 2021

  21. Jia, Y., Fu, H.: Association between innovative dockless bicycle sharing programs and adopting cycling in commuting and non-commuting trips. Transp. Res. Part A Policy Pract. 121, 12–21 (2019). https://doi.org/10.1016/j.tra.2018.12.025

    Article  Google Scholar 

  22. Karki, T.K., Tao, L.: How accessible and convenient are the public bicycle sharing programs in China? Experiences from Suzhou City. Habitat Int. 53, 188–194 (2016). https://doi.org/10.1016/j.habitatint.2015.11.007

    Article  Google Scholar 

  23. Li, A., Zhao, P., Huang, Y., Gao, K., Axhausen, K.W.: An empirical analysis of dockless bike-sharing utilization and its explanatory factors: case study from Shanghai, China. J. Transp. Geogr. 88, 102828 (2020). https://doi.org/10.1016/j.jtrangeo.2020.102828

    Article  Google Scholar 

  24. Li, X., Zhang, Y., Sun, L., Liu, Q.: Free-floating bike sharing in Jiangsu: users’ behaviors and influencing factors. Energies 11(7), 1664 (2018). https://doi.org/10.3390/en11071664

    Article  Google Scholar 

  25. Link, C., Strasser, C., Hinterreiter, M.: Free-floating bikesharing in Vienna – a user behaviour analysis. Transp. Res. Part A Policy Pract. 135, 168–182 (2020). https://doi.org/10.1016/j.tra.2020.02.020

    Article  Google Scholar 

  26. Mullahy, J.: Specification and testing of some modified count data models. J. Econom. 33(3), 341–365 (1986)

    Article  Google Scholar 

  27. Nolan, J.M., Schultz, P.W., Cialdini, R.B., Goldstein, N.J., Griskevicius, V.: Normative social influence is underdetected. Pers. Soc. Psychol. Bull. 34(7), 913–923 (2008). https://doi.org/10.1177/0146167208316691

    Article  Google Scholar 

  28. Nyhan, R.C.: Changing the paradigm: trust and its role in public sector organizations. Am. Rev. Publ. Administ. 30(1), 87–109 (2000). https://doi.org/10.1177/02750740022064560

    Article  Google Scholar 

  29. Pucher, J., Buehler, R.: Making cycling irresistible: lessons from the Netherlands Denmark and Germany. Transp. Rev. 28(4), 495–528 (2008)

    Article  Google Scholar 

  30. Qiao, S., Gar-On Yeh, A., Zhang, M.: Capitalisation of accessibility to dockless bike sharing in housing rentals: evidence from Beijing. Transp. Res. Part D Transp. Environ. 90, 102640 (2021). https://doi.org/10.1016/j.trd.2020.102640

    Article  Google Scholar 

  31. Shen, Y., Zhang, X., Zhao, J.: Understanding the usage of dockless bike sharing in Singapore. Int. J. Sustain. Transp. 12(9), 686–700 (2018). https://doi.org/10.1080/15568318.2018.1429696

    Article  Google Scholar 

  32. Sherwin, H., Chatterjee, K., Jain, J.: An exploration of the importance of social influence in the decision to start bicycling in England. Transp. Res. Part A Policy Pract. 68, 32–45 (2014). https://doi.org/10.1016/j.tra.2014.05.001

    Article  Google Scholar 

  33. Sun, Y.: Sharing and riding: how the dockless bike sharing scheme in China shapes the city. Urban Sci. 2(3), 68 (2018). https://doi.org/10.3390/urbansci2030068

    Article  Google Scholar 

  34. Teixeira, J.F., Silva, C., Moura E Sá, F.: Empirical evidence on the impacts of bikesharing: a literature review. Transp. Rev. 41(3), 329–351 (2021). https://doi.org/10.1080/01441647.2020.1841328

    Article  Google Scholar 

  35. The Mobike white paper: bike-share in the city. Mobike Global, Beijing Tsinghua Tongheng Planning and Design Institute, China New Urbanization Research Institute. https://mobike.com/sg/blog/post/mobikewhitepaper (2017) Accessed 20 Feb 2021

  36. Titze, S., Stronegger, W.J., Janschitz, S., Oja, P.: Association of built-environment, social-environment and personal factors with bicycling as a mode of transportation among Austrian city dwellers. Prev. Med. 47(3), 252–259 (2008). https://doi.org/10.1016/j.ypmed.2008.02.019

    Article  Google Scholar 

  37. Tu, Y., Chen, P., Gao, X., Yang, J., Chen, X.: How to make dockless bikeshare good for cities: curbing oversupplied bikes. Transp. Res. Rec. J. Transp. Res. Board. 2673(6), 618–627 (2019). https://doi.org/10.1177/0361198119837963

    Article  Google Scholar 

  38. Van, H.T., Choocharukul, K., Fujii, S.: The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—a comparison across six Asian countries. Transp. Res. Part A Policy Pract. 69, 36–44 (2014). https://doi.org/10.1016/j.tra.2014.08.008

    Article  Google Scholar 

  39. Vehtari, A., Gelman, A., Gabry, J.: Practical bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat. Comput. 27(5), 1413–1432 (2017). https://doi.org/10.1007/s11222-016-9696-4

    Article  Google Scholar 

  40. Wuhan free-floating bike sharing trip report. Wuhan transportation development strategy Institute. http://www.199it.com/archives/630387.html (2017) Accessed 20 Feb. 2021

  41. Xin, F., Chen, Y., Wang, X., Chen, X.: Cyclist satisfaction evaluation model for free-floating bike-sharing system: a case study of Shanghai. Transp. Res. Rec. J. Transp. Res. Board. 2672(31), 21–32 (2018). https://doi.org/10.1177/0361198118770193

    Article  Google Scholar 

  42. Xing, Y., Handy, S.L., Mokhtarian, P.L.: Factors associated with proportions and miles of bicycling for transportation and recreation in six small US cities. Transp. Res. Part D Transp. Environ. 15(2), 73–81 (2010). https://doi.org/10.1016/j.trd.2009.09.004

    Article  Google Scholar 

  43. Yang, S., Fan, Y., Deng, W., Cheng, L.: Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China. Transp. Policy. 60, 1–17 (2017). https://doi.org/10.1016/j.tranpol.2017.12.006

    Article  Google Scholar 

  44. Zhang, M., He, S., Zhao, P.: Revisiting inequalities in the commuting burden: institutional constraints and job-housing relationships in Beijing. J. Transp. Geogr. 71, 58–71 (2018). https://doi.org/10.1016/j.jtrangeo.2018.06.024

    Article  Google Scholar 

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Funding

This work was supported by the Zhejiang Provincial Philosophy and Social Science Planning Project [Grant numbers 19NDQN351YB], and the National Natural Science Foundation of China [grant numbers 51978617].

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The authors confirm contribution to the paper as follows: conceptualization, data curation, formal analysis, funding acquisition, methodology, and writing—original draft: YD; methodology and writing—review & editing: PZ. Both authors reviewed the results and approved the final version of the manuscript.

Corresponding author

Correspondence to Yiling Deng.

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On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Deng, Y., Zhao, P. The determinants of shared bike use in China. Transportation (2021). https://doi.org/10.1007/s11116-021-10235-y

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Keywords

  • Free-floating bike share
  • Two-stage Bayesian multilevel hurdle model
  • China household finance survey
  • Social context
  • Nonlinear