考虑城市内部服务网络的城市群综合客运网络抗毁性研究

doi:10.16182/j.issn1004731x.joss.23-1451

摘要/Abstract

摘要：

为解决城市群客运网络模型全面性和精细化不足的问题，采用复杂网络理论中Space L建模方法，构建考虑城市内部服务网络的城市群综合客运网络模型。构建由城际网络和城市内部服务网络复合构成的城市群综合客运网络，并考虑时间标定网络边权；提出考虑时间加权的网络时间效率模型评估网络抗毁性。仿真结果表明：随机性攻击策略下网络相对时间效率波动较小，城市群网络表现出较强的抗毁性；节点度攻击策略下，随着被攻击站点节点度的降低，前期网络效率呈断崖式下降，对整个网络造成毁灭性损害；逐一攻击策略下网络抗毁性会随攻击迭代的过程呈现波动性变化，能够识别关键站点。

关键词: 城市群, 复杂网络理论, 服务网络, MATSim, 抗毁性

Abstract:

In order to solve the problem of insufficient comprehensiveness and refinement of the urban agglomeration passenger transport network model, Space L modelling method in complex network theory is adopted to construct a comprehensive urban passenger transport network model considering the urban internal service network. A comprehensive urban passenger transport network composed of intercity networks and intra-city service networks is built, and time-dependent edge weights in the network is considered. A time-weighted network efficiency model is proposed to evaluate the network resilience. The results show that under a random attack strategy, the relative time efficiency of the network fluctuates less, indicating strong resilience of the urban agglomeration network; under a node degree attack strategy, as the degree of attacked site node decreases, the early network efficiency shows a cliff-like decline, causing catastrophic damage to the entire network; Under an iterative attack strategy, the network resilience fluctuates with the attack process, identifying critical stations.

Key words: urban agglomeration, complex network theory, service networks, MATSim, resilience

中图分类号:

U113

聂士达,李成兵,贺博威等 . 考虑城市内部服务网络的城市群综合客运网络抗毁性研究[J]. 系统仿真学报, 2025, 37(4): 933-942.

Nie Shida,Li Chengbing,He Bowei,et al . Research on the Resilience of Integrated Urban Passenger Transport Network in Urban Agglomerations Considering the Intra-urban Service Network[J]. Journal of System Simulation, 2025, 37(4): 933-942.

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站点编号	站点名称	网络相对时间效率
65	清水河汽车站	0.995 684 20
64	绥德汽车站	0.994 589 64
38	神木汽车站	0.993 125 47
19	双龙汽车站	0.990 254 76
10	乌克图客运站	0.990 123 86

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