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《城市交通》杂志
2024年 第1期
公共汽电车复杂网络模型构建与特性分析——以淄博市为例
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文章编号: 1672-5328(2024)01-0068-10

王连震,张国立,石凌云,杜亚北,陈旭琦
(东北林业大学土木与交通学院,黑龙江哈尔滨150040)

摘要: 研究公共汽电车网络特性对于合理优化线路及站点布局具有重要作用。基于复杂网络理论, 使用L空间、P空间和R空间三种建模方法,分别建立公共汽电车加权网络模型,并利用Gephi 软件 分析网络的节点度、平均路径长度、聚类系数等静态拓扑参数。进而对淄博市公共汽电车网络进行 实例分析,并与不同规模城市进行对比。研究结果显示,淄博市市区公共汽电车站点网络的度分布 符合指数分布,不具有明显的无标度特性,公共汽电车换乘网络和线路网络具有明显小世界特性。 居民乘坐公共汽电车出行一次,平均需要经过13.77 个站点并换乘1.32 次,基本可以满足当前出行 需求,但是与国家公交都市建设示范城市相比仍然存在邻近站点之间连接线路不足、具有换乘功能 的站点较少、网络稳定性差等问题。

关键词: 公共汽电车;加权网络;拓扑结构;特性分析;淄博市

中图分类号: U491.1+7

文献标识码:A

Construction and Characteristic Analysis of Complex Network Model for Bus Transit: A Case Study of Zibo

WANG Lianzhen, ZHANG Guoli, SHI Lingyun, DU Yabei, CHEN Xuqi
(School of Civil Engineering and Transportation, Northeast Forestry University, Harbin Heilongjiang 150040, China)

Abstract: Estimating the characteristics of bus transit networks is crucial for optimizing the layout of routes and stations reasonably. Based on the theory of complex networks, this paper employs three modeling methods - L space, P space, and R space to establish weighted network models for bus transit systems. Gephi software is then utilized to analyze static topology parameters such as node degree, average path length, and clustering coefficient of the network. An empirical analysis of the bus transit network in Zibo is conducted, and comparisons are made with cities of different scales. The results indicate that the degree distribution of bus transit stations in Zibo follows an exponential distribution without obvious scale-free characteristics. While the transfer network and route network exhibit pronounced small-world characteristics. On average, residents's travel by bus transit in Zibo need to pass through an average of 13.77 stations and transfers 1.32 times per trip, which meets the current travel demands. However, compared with demonstration cities of China's transit metropolis construction, there are still problems such as insufficient connections between adjacent stations, fewer transfer stations, and limited network stability.

Keywords: bus transit; weighted complex network; topology structure; characteristic analysis; Zibo