RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2023, Vol. 32 >> Issue (10): 2006-2017.doi: 10.11870/cjlyzyyhj202310002

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Differentiation of Resilience Characteristics of Highway Networks in Metropolitan Areas of Yangtze River Economic Belt

HUA Xing-lin1,2,PENG Chong1,2, ZHANG Meng-jie1,2   

  1. (1. School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China; 2. Hubei Province Urbanization Engineering Technology Research Center, Wuhan 430074, China)
  • Online:2023-10-20 Published:2023-10-26

Abstract: The traffic network of metropolitan areas is an important cornerstone for building a secure and resilient regional development pattern. Based on the network resilience assessment framework, taking the Chengdu, Wuhan and Nanjing metropolitan areas in the Yangtze River Economic Belt as research cases, this study measured the resilience of the typical urban road networks in the Yangtze River Economic Belt under normal and emergency attack scenarios. The results show: (1)Under normal scenarios, the aggregation, transmission, and hierarchical differentiation of the traffic network resilience in the three metropolitan areas are significant, and the spatial form of the network differs considerably. (2)Under emergency scenarios, the dynamic resilience of the three metropolitan areas varies significantly under random attacks and two types of intentional attacks. Each area has its own advantages. Chengdu Metropolitan Area has the best overall performance and obvious advantages against attacks based on betweenness centrality. Nanjing Metropolitan Area has the second-best overall performance and obvious advantages against attacks based on degree centrality. Wuhan Metropolitan Area has the weakest overall performance and only exhibits obvious advantages against random attacks. (3)Under emergency scenarios, there is a certain antagonistic effect between the robustness and fragility of the traffic network in metropolitan areas. Robustness is stronger than fragility under random attacks, while fragility is stronger than robustness under intentional attacks, and attacks based on betweenness centrality are more likely to cause structural damage to the network. (4) This work analyzed the mechanism of network resilience differentiation from the perspective of network topology structure, and proposed targeted strategies to improve the resilience of urban agglomeration highway networks.

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