How to Effectively Improve the Operational Efficiency and Service Quality of Shared Bicycles in Mega-Cities - Taking Beijing's Commuters as An Example

Hongchang Hu

doi:10.54097/6q70vv44

Authors

Hongchang Hu

DOI:

https://doi.org/10.54097/6q70vv44

Keywords:

Shared bicycles, Operational efficiency, Service quality, Transportation development.

Abstract

After more than 30 years of rapid development through reform and opening up, China has witnessed the emergence of a group of mega metropolises, which have brought unprecedented population concentration and economic prosperity. Naturally, they have become the leading cities in our country. Of course, this development process also comes with a series of issues. This article focuses on discussing the issue of shared bicycles in the context of transportation development history, exploring how to better develop shared bicycles and effectively improve their operational efficiency and service quality in these mega cities. This can better promote and coordinate urban transportation development.

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References

Xiongying Lv,Tsunamis Pan. Analysis of riding characteristics of shared bicycles in Shanghai based on Mobike open data [J]. Urban Planning of Shanghai,2018(02): 46-51.

Chen Yang,Jian Lu,Wei Wang, et al. Research on Influencing Factors of Bicycle traffic based on Individual Travel mode Choice [J]. Transportation Systems Engineering and Information, 2007(04): 131-136.

Junhong Xu. Analysis method and application of shared bicycle travel demand based on big data: A case study of Shanghai [J]. Transport and Shipping, 21,8(04):51-57.

Man Zhao. Research on network analysis and Optimal Scheduling of shared bicycles [D]. Shandong University of Science and Technology, 2017.

Jiefeng Lv,Wenjing Xu,Jie Jiang. Comparative analysis of shared bicycle life cycle evaluation [J]. Packaging Engineering, 2019(14):106-110. (in Chinese)

Binglang Chen. Study on the usage characteristics and influencing factors of shared bicycles based on spatiotemporal data: A case study of Chengdu [J]. Urban Architecture, 2002, 19(17):51-54.

Wei Li. Analysis of marketing strategy of shared bicycle enterprises -- taking Haro Bicycle as an example [J]. Science and Technology Entrepreneurship Monthly,2020,33(10):4.

Geng Peng,Yun LV,Ying Liu. Research on pricing strategy of shared bicycle platform [J]. Mathematics in Practice and Understanding,2019(10):11-21. (in Chinese)

Xuejiao Zuo. Research on Influencing factors of urban bike-sharing travelers' satisfaction [D], Chengdu: Southwest Jiaotong University, 2018.

Yanru Guo,Zhixiong Luo,Jiachuan Wang, et al. Research on Data-driven planning method of shared bicycle parking area [J]. Transportation Systems Engineering and Information, 2019, 21(06): 9-16. (in Chinese)

Yongchong Yang,Ying Liu,Liang LI. Extraction of urban cycling hotspots using big data of shared bicycles [J]. Bulletin of Surveying and Mapping,2018,No.497(08):68-73.

Yunning Zhang,Jie Yan. Analysis on current situation and development trend of shared bicycle market [J]. China Market, 2018(03): 62-63. (in Chinese)