Skip to main content

Advertisement

Log in

A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China

  • Published:
Transportation Aims and scope Submit manuscript

Abstract

The paper takes station-based bikesharing system (SBS) with docks and dockless free-floating bikesharing system (FBS) as two targets to dig out the relationship between users and use frequency of the services for each scheme, and how the relationship varies from scheme to scheme. To achieve this, studies are carried out focusing on three questions: “who are using these two bicycle services?”; “what are the factors influencing the use frequency of both bicycle systems?”; and “which specific level of the factors influencing the use frequency of both bicycle schemes?” To collect data from users, a survey was designed containing questions for user attributes and service experience and conducted jointly on-line and on-site at four locations with mixed land use in Hangzhou, China. Analysis results show that SBS and FBS have similar user structure but different factors influence use frequency. Based on analysis results, from the user perspective, SBS’s strength is to have good quality with low cost while FBS is more flexible and free to use. Finally, recommendations for SBS are to involve more technology to expand its range to aided bikes for senior citizens and open the access for a mobile renting system, whereas for FBS, it is critical to get government cooperation and for operators to add parking area restrictions into the cellphone application, and create an on-line platform where users can find all the free-floating bike information.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Audikana, A., et al.: Implementing bikesharing systems in small cities: evidence from the Swiss experience. Transp. Policy 55, 18–28 (2017)

    Article  Google Scholar 

  • Bao, J., et al.: Exploring bikesharing travel patterns and trip purposes using smart card data and online point of interests. Netw. Spat. Econ. 4(17), 1231–1253 (2017)

    Article  Google Scholar 

  • Buehler, R., Pucher, J., Gerike, R., et al.: Reducing car dependence in the heart of Europe: lessons from Germany, Austria, and Switzerland. Transp. Rev. 37(1), 4–28 (2017)

    Article  Google Scholar 

  • Campbell, A., Cherry, C., Ryerson, M., et al.: Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transp. Res. Part C 67, 399–414 (2016)

    Article  Google Scholar 

  • Cao, Y.: Investigation and analysis of Hangzhou public bicycle service satisfaction. Stat. Theory Pract. 11, 44–47 (2016)

    Google Scholar 

  • Chen, M., Wang, D., Sun, Y., et al.: Service evaluation of public bicycle scheme from a user perspective: a case study in Hangzhou, China. Transp. Res. Rec. 2643, 28–34 (2017)

    Article  Google Scholar 

  • Chinese bike sharing market research report. Big data research. http://www.bigdata-research.cn/content/201702/383.html (2016). Accessed 12 July 2017

  • Cui, L.: Mobike: bicycle version of Didi in the car-hailing world. Traffic Constr. Manag. 74–77 (2016)

  • DeMaio, P.: Bike-sharing: history, impacts, models of provision, and future. J. Public Transp. 12(2), 41–56 (2014)

    Google Scholar 

  • Etienne, C., Latifa, O.: Model-based count series clustering for bike sharing system usage mining: a case study with the Vélib’ system of Paris. ACM Transp. Intell. Syst. Technol. 5(3), 1–21 (2014)

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Gámez-Pérez, K.M., Arroyo-López P., Cherry C.R.: Defining a primary market for bikesharing programs: a study of habits and usage intentions in León, Mexico. Transp. Res. Rec. J. Transp. Res. Board (2634), 50–56 (2017)

  • Larsen J.: Bike-sharing programs hit the streets in over 500 cities worldwide. Plan B Updates (2013). http://www.treehugger.com/bikes/bike-sharing-programs-hit-streets-over-500-cities-worldwide.html. Accessed 12 July 2017

  • Li, Z.-C., Yao, M.-Z., Lam, W.H.K., Sumalee, A., Choi, K.: Modeling the effects of public bicycle schemes in a congested multi-modal road network. Int. J. Sustain. Transp. 9(4), 282–297 (2015)

    Article  Google Scholar 

  • Midgley, P.: Bicycle-Sharing Schemes: Enhancing Sustainable Mobility in Urban Areas. Department of Economic and Social Affairs, United Nations, New York (2011)

    Google Scholar 

  • Molina-García, J., Castillo, I., Queralt, A., et al.: Bicycling to university: evaluation of a bicycle-sharing program in Spain. Health Promot. Int. 30(2), 350–358 (2015)

    Article  Google Scholar 

  • Pal, A., Zhang, Y.: Free-floating bike sharing: solving real-life large-scale static rebalancing problems. Transp. Res. Part C Emerg. Technol. 80, 92–116 (2017)

    Article  Google Scholar 

  • Regue, R., Recker, W.: Proactive vehicle routing with inferred demand to solve the bikesharing rebalancing problem. Transp. Res. Part E 72, 192–209 (2014)

    Article  Google Scholar 

  • Ricci, M.: Bike sharing: a review of evidence on impacts and processes of implementation and operation. Res. Transp. Bus. Manag. 15, 28–38 (2015)

    Article  Google Scholar 

  • Rixey, A.: Station-level forecasting of bikesharing ridership. Transp. Res. Rec. J. Transp. Res. Board (2387), 46–55 (2013)

  • Shaheen, S., Guzman, S., Zhang, H.: Bikesharing in Europe, the Americas, and Asia. Transp. Res. Rec. J. Transp. Res. Board (2143), 159–167 (2011)

  • Shaheen, S., Christensen M.: Shared-use mobility summit: retrospective of north America’s first gathering on shared-use mobility. Transportation Sustainability Research Center (2014)

  • Shaheen, S., et al.: Shared mobility: definitions, industry developments, and early understanding. Transportation Sustainability Research Center, Innovative Mobility Research (2015)

  • Vogel P., Mattfeld, D.C.: Modeling of repositioning activities in bike-sharing systems. In: World Conference on Transport Research, Bruges (2010)

  • Wang, W., Wei, W.: Comparative study of commercial operation mode of public bicycle systems worldwide: based on perspective of institutional economics. UPI 28(3), 64–69 (2013)

    Google Scholar 

  • Yang, W.: A comparison between public bikes and sharing bikes of Hangzhou residents’ characteristics. Zhejiang University, Hangzhou (2017)

    Google Scholar 

  • Zhang, L., Zhang, L., Duan, Z., et al.: Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China. J. Clean. Prod. 97, 124–133 (2015)

    Article  Google Scholar 

  • Zhao, J., Deng, W., Song, Y.: Ridership and effectiveness of bikesharing: the effects of urban features and system characteristics on daily use and turnover rate of public bikes in China. Transp. Policy 35, 253–264 (2014)

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the help from Rong Lan, China Public Transport Association. The study is also financed by national natural science foundation of China (Grant No. 51338008) and national natural science foundation of China (Grant No. 61773338).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yilin Sun.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11116-018-9910-7

Keywords

Navigation