Wu Xiaolin, Xiao Wangxin, Deng Conghui, Schwebel David C, Hu Guoqing
Zhou Enlai School of Government, Nankai University, Tianjin, 300071, China.
Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, China.
Data Brief. 2019 Jul 27;25:104329. doi: 10.1016/j.dib.2019.104329. eCollection 2019 Aug.
This data article quantifies the extent of shared bicycle riding risks for shared-bicycle riders in urban China. The data were collected through a WeChat-based online survey, with a valid sample of 1960 respondents. It reports the basic descriptive statistics through eight tables concerning various unsafe shared bicycle riding behaviors, and complete frequency data from riders concerning eight unsafe riding behaviors. The data can be used for comparisons with other studies using the same outcome measures, which are valuable to generate specialized and targeted solutions to reduce unsafe riding behaviors. For further information, please refer to the full article entitled "Unsafe riding behaviors of shared-bicycle riders in urban China: A retrospective survey".(Wu et al., 2019).
本数据文章对中国城市共享单车骑行者面临的共享单车骑行风险程度进行了量化。数据通过基于微信的在线调查收集，有效样本为1960名受访者。文章通过八个表格报告了关于各种不安全共享单车骑行行为的基本描述性统计数据，以及骑行者关于八种不安全骑行行为的完整频率数据。这些数据可用于与使用相同结果指标的其他研究进行比较，这对于制定专门的针对性解决方案以减少不安全骑行行为很有价值。如需进一步信息，请参考题为《中国城市共享单车骑行者的不安全骑行行为：一项回顾性调查》的全文（Wu等人，2019年）。
