Considering the functional attributes of public bicycle outlets, users’ travel destinations and travel distances, this paper proposes a key node optimization scheme for urban public bicycle networks based on the combination of key nodes and wavefront theory. First analyze the net wave surface flow during peak hours to determine key nodes, then schedule or add nodes to achieve normal diversion in the area, and finally introduce betweenness indicators to evaluate the diversion effect. Through an example analysis of the operation data of a city’s public bicycle system, the research results show that the optimization scheme can better meet the dynamic needs of users of the public bicycle system, improve the user’s rental experience, increase user stickiness, and ensure maximum revenue and operating efficiency. It can provide a theoretical basis for the reasonable dispatch of public bicycles at the outlets.

中文翻译：

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基于波前理论的公共自行车关键节点优化方案

考虑公共自行车网点的功能属性、用户出行目的地和出行距离，本文结合关键节点和波前理论，提出了城市公共自行车网络关键节点优化方案。首先分析高峰时段的净波面流量确定关键节点，然后调度或增加节点以实现该区域的正常导流，最后引入介数指标评估导流效果。通过对某城市公共自行车系统运行数据的实例分析，研究结果表明，优化方案能够更好地满足公共自行车系统用户的动态需求，提升用户的租赁体验，增加用户粘性，最大限度地保证收入和运营效率。