运筹与管理 ›› 2025, Vol. 34 ›› Issue (9): 219-225.DOI: 10.12005/orms.2025.0298

• 管理科学 • 上一篇    下一篇

基于换乘关系的城市公交—地铁复合网络脆弱性研究

杜脒婕, 郭鹏, 赵静   

  1. 西北工业大学 管理学院,陕西 西安 710072
  • 收稿日期:2023-11-02 出版日期:2025-09-25 发布日期:2026-01-19
  • 通讯作者: 赵静(1984-),女,河南禹州人,副教授,研究方向:复杂系统建模与决策,城市基础设施系统脆弱性。Email: jzhao@nwpu.edu.cn。
  • 作者简介:杜脒婕(1996-),女,山西运城人,博士研究生,研究方向:城市基础设施系统脆弱性。
  • 基金资助:
    国家自然科学基金资助项目(72171195);陕西省自然科学基金项目(2021JM-078)

Study of Vulnerability of Urban Bus-Metro Composite Network Based on Transfer Relationships

DU Mijie, GUO Peng, ZHAO Jing   

  1. School of Management, Northwestern Polytechnical University, Xi’an 710072, China
  • Received:2023-11-02 Online:2025-09-25 Published:2026-01-19

摘要: “地铁为主,公交为辅”的出行模式成为城市公共交通系统的主力。换乘关系互补的公交—地铁复合网络逐步规模化和结构复杂化,其在网络结构不均衡、站点功能差异化作用下脆弱性问题日益突出。本文基于公交和地铁的换乘关系研究复合网络在局部效应和双重差异下的脆弱性,通过引入运力、速度属性差异对城市公交—地铁系统的网络结构进行表征,并基于换乘关系建立局部效应下包含可达性、相对运力加权和相对距离加权的网络效率多维脆弱性测度模型。最后对西安市区公交—地铁系统仿真分析,发现以换乘关系为参照的复合网络呈现出结构不均匀的特征。局部效应下复合网络的可达脆弱性介于全局复合网络和子网络之间,地铁、公交换乘站点失效下不可达比例分别达到了4.8%和5.4%。考虑运力及速度差异时,地铁换乘站点失效下局部复合网络的网络效率脆弱性被增强,而公交换乘站点的网络效率脆弱性则相对减弱。此外,对局部复合网络站点和结构特征的分析揭示失效站点运力、连接度、网络规模及结构占比会影响系统的网络效率脆弱性。

关键词: 公交—地铁复合网络, 脆弱性, 换乘关系, 局部效应, 运力和速度差异

Abstract: Combining the metro’s high capacity with bus flexibility,the “metro-led, bus-assisted” model forms the backbone of urban transit. While transfer connectivity enhances travel convenience, frequent transit disruptions often cause localized impacts. Therefore, assessing bus-metro vulnerability based on transfer relationships is vital for improving urban safety, risk prevention, and emergency response.
Existing studies typically evaluate the vulnerability of public transportation systems by considering both structural and functional aspects. Structural vulnerability relies on network topology metrics, while functional vulnerability involves assessing operational characteristics such as passenger demand satisfaction and flow impact. Most studies assess public transportation system vulnerability using accessibility and efficiency metrics. Accessibility reflects basic urban transportation system needs, while efficiency metrics gauge overall operational effectiveness during disruptions. While current research has addressed the impact of capacity disparities between bus and metro stations on system vulnerability, there remains a lack of characterization of fundamental differences in capacity, operating speed, failure rules, and other aspects between bus and metro systems. Additionally, the bus-metro composite network exhibits significant structural heterogeneity and differentiated station functionalities, but existing studies mostly focus on the overall vulnerability of the system, with less attention paid to local considerations. Furthermore, transfer relationships, as the connection bridges of bus-metro composite networks, are of importance. Research on transfer relationships mainly includes transfer efficiency, transfer costs, transfer behavior, and characteristics of transfer stations. However, further in-depth exploration is needed regarding the impact of transfer relationships on the vulnerability of public transportation systems.
This study focuses on assessing the vulnerability of bus-metro composite networks based on transfer relationships, considering local effects and dual disparities. Firstly, by introducing differences in capacity and speed attributes, a detailed representation of the structure of urban bus-metro systems is provided, creating local composite networks with transfer relationships as references. Subsequently, differentiated failure rules for bus and metro networks are defined. Then, considering passengers’ effective travel range and differences in capacity and speed between buses and metros, a multidimensional vulnerability measurement model of network efficiency including accessibility vulnerability, relative capacity-weighted network efficiency vulnerability, and relative distance-weighted network efficiency vulnerability is innovatively established.
The Xi’an bus-metro network, built on transfer relationships, exhibits an uneven structure. Local accessibility vulnerabilities for metro and bus stations are 4.8% and 5.4%, respectively falling between the overall network and sub-network levels. When accounting for capacity and speed disparities, metro transfer failures intensify local efficiency vulnerability, while bus failures show a reduced impact. Notably, local networks with higher metro station proportions are more vulnerable. Analysis suggests that increasing network density and optimizing capacity and transfer relationships can mitigate vulnerability. These findings guide local-level optimization—considering scale, structure, and transfer counts—while future research should use real-world data to identify balanced network designs that maintain accessibility under varying traffic volumes.

Key words: bus-metro composite network, vulnerability, transfer relationships, local effects, capacity and speed disparities

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