Understanding the Operational Efficiency of Bicycle-Sharing Based on the Influencing Factor Analyses: A Case Study in Nanjing, China by Beibei Hu, Yunfeng Gao, Jiechen Yan, Yue Sun, Yang Ding, Ji Bian, Xianlei Dong, Huijun Sun

“…The results are as follows: (1) demand for bicycle-sharing is higher on weekdays than on weekends, especially during the morning and evening rush hours. (2) The daily average capacity utilization rate of bicycle-sharing is less than 0.08, indicating that the system is not efficient enough. …”
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