公共自行车复杂网络可达性指标潜力评价模型

基于公共自行车系统运营数据,提出了复杂网络可达性指标潜力评价模型,从整体复杂网络拓扑特征分析,到进行交通功能分区的可达性指标潜力评价分析,进而筛选出网络中的关键节点,并能为公共自行车系统优化提供理论依据。整体拓扑分析显示公共自行车的用户需求模式具有无标度和小世界特性,其网点分布仍然有小部分关键节点可进一步优化。依据其中短距离出行需求和在长距离中的公共交通衔接功能划分的网络,其可达性指标潜力评价能筛选出网络中的关键节点,并能进一步将关键节点的实际流量与潜力指标进行对比分析,得出对关键节点更准确的优化建议。实际数据分析显示,基于分区的可达性指标潜力评价模型能为公共自行车更好地发挥其在公共交通中的作用提供理论优化依据。

An accessibility index potential evaluation model forthe complex network of public bicycles

According to the operation data of the public bicycle system, we propose an accessibility index evaluation model for the complex network. We analyze the topology characteristics of the complex network, evaluate the accessibility indexes for traffic functional division, and then select the key nodes in the network, which can provide theoretical basis for optimizing the public bicycle system. The overall topology analysis shows that the user demand model of public bicycle is scale-free with the characteristics of a small world, and a small part of the hub node in its network distribution can be further optimized. According to the short distance travel demand and long distance public transport network, key nodes can be filtered out by calculating reachability indicators. Furthermore, the actual flow and potential indexes of key nodes can be compared and analyzed, and more accurate optimization suggestions for key nodes are obtained. Actual data analysis shows that the potential evaluation model based on the accessibility indexes can provide a theoretical basis for the public bicycle to play a better role in public transport.