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| Robustness of multimodal passenger transport network in urban agglomeration considering complementary effect |
Fei MA( ),Xiaolin WEI,Qipeng SUN*(),Qing LIU,Huiyan GOU |
| School of Economics and Management, Chang’an University, Xi’an 710064, China |
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Abstract A multimodal passenger transport network model of urban agglomeration was constructed based on complex network theory from the perspective of multiple complementary traffic modes in order to analyze the response ability of urban agglomeration passenger transport networks to emergencies. The gravity model was applied to establish rules for network performance calculation after node failure, and the robustness of the multimodal passenger transport network of urban agglomeration was measured. A dynamic complementary strength index based on robustness was introduced to quantify the complementary effect (CE) between passenger transport networks. The robustness when considering CE was compared, and the degree to which CE improves the robustness value was analyzed. A case study of Guanzhong Plain urban agglomeration was conducted. Results showed that the general railway network was the most robust to unexpected events, and the highway network was the least robust to unexpected events among the multimodal passenger transport networks in urban agglomerations. The robustness of the urban agglomeration multimodal passenger network was significantly improved when CE was considered regardless of the attack strategy. The sensitivity of high-speed rail network, rail network and highway network was decreased by 19.1%, 29.3%和22.0%, respectively.
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Received: 31 May 2023
Published: 23 January 2024
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| Fund: 国家自然科学基金资助项目（72104034）；陕西省自然科学基础研究计划资助项目（2022JM-423，2022JM-426）；西安市社会科学规划基金重大资助项目（211423220227）. |
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Corresponding Authors:
Qipeng SUN
E-mail: mafeixa@chd.edu.cn;sunqip@chd.edu.cn
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考虑互补效应的城市群多模式客运网络鲁棒性
为了分析城市群客运网络对突发事件的应对能力，从多种交通模式互补视角，基于复杂网络理论构建城市群多模式客运网络模型，应用引力模型建立节点失效后网络性能计算的规则，对城市群多模式客运网络的鲁棒性进行测度. 引入基于鲁棒性的动态互补强度指标，对客运网络间的互补效应（CE）进行量化. 对是否考虑CE时的鲁棒性进行对比，分析CE对鲁棒性的提升程度. 以关中平原城市群为例进行实例研究，结果表明，在城市群多模式客运网络中，普铁网应对突发事件时的鲁棒性最强，公路网最弱. 无论在何种攻击策略下，考虑CE时，城市群多模式客运网络的鲁棒性均有明显的提升，高铁网、普铁网和公路网的敏感度分别下降了19.1%、29.3%和22.0%.
关键词：
城市群,
多模式客运网络,
复杂网络理论,
鲁棒性,
互补效应
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