交通运输研究2025，Vol.11Issue(2)：81-92,12.DOI:10.16503/j.cnki.2095-9931.2025.02.007
基于复杂网络理论的城市群综合客运网络全周期韧性演变
Full-Cycle Resilience Evolution of Integrated Passenger Transportation Network in Urban Agglomeration Based on Complex Network Theory
摘要
Abstract
To explore the resilience evolution of integrated passenger transportation network in urban agglomeration under risk fluctuations,a full-cycle resilience analysis framework based on complex network theory and cascade failure dynamics was constructed.Firstly,a transregional,multidimension-al,and multilayered network was formed by coupling intra-city service passenger networks(buses,subways,car-hailing)with intercity passenger networks(highways,railways,aviation)through hubs.Network weights were calibrated by integrating passenger travel expenses,time,and passenger flow.Then,a risk diffusion and control mechanism based on the risk state judgment formula and risk flow mode was developed,segmenting resilience evolution into four phases:initiation,absorption,recov-ery,and stability.And using system resilience to comprehensively characterize network resilience,a full cycle resilience analysis framework was established.Finally,using the Chengdu-Chongqing urban agglomeration as a case study,Python's NetworkX library was applied to assess resilience coefficients under risk diffusion,and resilience indices of different networks were compared.Results indicate that the risk flow based on node measure significantly impacts risk resistance,highlighting the importance of route hierarchy and comprehensive costs.The recovery mode based on intensity centrality and path importance accelerates resilience recovery,emphasizing the importance of key nodes.Furthermore,by optimizing resilience coefficients before reaching the threshold,network resilience can be effectively enhanced.The integrated network resilience index(9.33)surpasses those of the railway(9.26)and highway(9.14)networks,validating the risk resistance advantages of a transregional,multidimension-al,and multilayered network within the Chengdu-Chongqing urban agglomeration.关键词
城市群/综合客运网络/复杂网络理论/风险波动/全周期韧性演变Key words
urban agglomeration/integrated passenger transportation network/complex network theory/risk fluctuation/full-cycle resilience evolution分类
交通运输引用本文复制引用
王回归,李成兵,李鑫涛..基于复杂网络理论的城市群综合客运网络全周期韧性演变[J].交通运输研究,2025,11(2):81-92,12.基金项目
国家自然科学基金项目(62063023) （62063023）
内蒙古自然科学基金项目(2023MS05036) （2023MS05036）
内蒙古自治区高等学校青年科技英才支持计划项目(NJYT22099) （NJYT22099）
