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《城市交通》杂志
2022年 第6期
基于复杂网络的公共汽车线网拓扑模型
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文章编号: 1672-5328(2022)06-0029-09

洪智勇1,王愈2,陈志杰1,洪锋1
(1. 宁波市规划设计研究院,浙江宁波315042; 2. 宁波市公共交通集团有限公司第三分公司, 浙江宁波315000)

摘要: 已有基于复杂网络的公共汽车交通模型研究缺乏对网络服务特征的考虑。基于公共汽车线网 的P-Space 模型,在考虑公共汽车站服务范围的影响基础上构建SP-Space 模型,以实现车站与交通 小区的关联。以宁波市主城区公共汽车线网为例进行分析,结果表明基于SP-Space 模型得到的公共 汽车线网具有显著的超小世界网络的特征,能够客观地反映公共汽车线网的实际空间分布形态,并 进一步揭示了公共汽车线网的形成机制符合“二八法则”。然后,利用综合出行成本、直连公共汽 车线路数等属性构建边权指标得到加权网络模型,该模型能够较好地反映宁波市公共汽车线网的可 达性和公共汽车走廊集聚特征。结合宁波市公共汽车客流发展规律进一步指出,若忽视由网络复杂 性导致的共通道竞争规律,城市轨道交通沿线公共汽车线路的优化措施将难以取得理想效果。

关键词: 复杂网络;公共汽车线网;SP-Space 模型;可达性;公共汽车走廊

中图分类号: U491.1+7

文献标识码:A

Topology Model of Bus Transit Network Based on Complex Network

HONG Zhiyong1,WANG Yu2, CHEN Zhijie1, HONG Feng1
(1. Ningbo Urban Planning & Design Institute, Ningbo Zhejiang 315042, China; 2. The Third Branch of Ningbo Public Transport Group Co., Ltd., Ningbo Zhejiang 315000, China)

Abstract: Existing studies on the bus transit model based on complex network are limited in considering network service features. Based on the P-Space model of bus transit network, an SP-Space model is developed with the consideration of impacts from the service scope of bus stations to connect stations and traffic zones. Taking the bus transit network in the main urban area of Ningbo as an example, the paper suggests that the bus transit network constructed in the SP- Space model has a clear ultrasmall world feature. Such feature can objectively reflect the actual spatial distribution of bus transit network and also demonstrate that the formation mechanism of bus transit network conforms to the Pareto principle (or 80/20 rule). Using factors such as comprehensive travel cost and number of directly connected bus routes, the paper establishes the edge weight indicators and a weighted network model, which can better reflect the accessibility of bus transit network and the concentration feature of bus corridors in Ningbo. Based on analysis of the bus passenger flow in Ningbo, the paper points out that, when the common channel competition law with network complexity is ignored, the optimization measures for bus routes along urban rail transit will not produce desirable results.

Keywords: complex network; bus network; SP-Space model; accessibility; bus corridors