基于数据分析的共享电动自行车停放空间优化策略研究

Research on the optimization strategy of shared E-bike parking space based on data analysis

随着城市交通压力增加,共享电动自行车成为缓解城市交通和减少环境污染的有效手段。然而停放空间不合理分布和管理不善成为主要问题。文章首先通过数据分析优化共享电动自行车停放空间,提高使用效率和用户满意度。其次,建立评价指标体系,运用GPS和使用记录等数据,发现停放空间使用效率受多种因素影响。最后,提出一系列优化策略,如动态调整停放点位置、优化停放空间布局等,并以银川市作为研究案例,验证策略有效性。数据驱动的共享电动自行车停放空间优化有助于提升城市交通效率,推动城市可持续发展。

With the increase of urban traffic pressure,shared E-bike have become an effective means to alleviate urban traffic and reduce environmental pollution.However,the unreasonable distribution and poor management of parking space have become major problems.In this paper,data analysis is used to optimize the parking space of shared E-bike to improve the use efficiency and user satisfaction.Secondly,the evaluation index system was established,and the data such as GPS and usage records were used to find that the efficiency of parking space was affected by a variety of factors.Finally,a series of optimization strategies,such as dynamically adjusting the location of parking points and optimizing the layout of parking space,were proposed,and a case study was carried out in Yinchuan City to verify the effectiveness of the strategies.Data-driven optimization of shared e-bike parking space can help improve urban traffic efficiency and promote sustainable urban development.