SCIENTIA GEOGRAPHICA SINICA ›› 2023, Vol. 43 ›› Issue (8): 1471-1483.doi: 10.13249/j.cnki.sgs.2023.08.016

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Urban road network topological characterization of multi-scenario flooding impacts: A case study of Wuhan Metropolitan Region

Zhang Hongxin1(), Chen Huiting1, Lu Yanchi1, Liu Xiaoyan2,3,4, Chen Cuizhen5, Liu Yaolin1,6,7,*()   

  1. 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, Hubei, China
    2. State Key Laboratory of Earth Surface Processes and Resources Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    3. Key Laboratory of Environmentai Change and Natural Disaster, MOE, Beijing Normal University, Beijing 100875, China
    4. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    5. Wuhan Water Science Research Institute, Wuhan 430010, Hubei, China
    6. Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, Hubei, China
    7. Collaborative Innovation Center for Geospatial Information Science, Wuhan University, Wuhan 430079, Hubei, China
  • Received:2022-08-11 Revised:2023-01-01 Online:2023-08-20 Published:2023-08-30
  • Contact: Liu Yaolin;
  • Supported by:
    The National Key Research and Development Program(2017YFB0503601)


The article bases on the method of network topology to explore the impact of multi-scenario flood events on the road network from the perspective of commuting with the central urban area of Wuhan as the study area. Firstly, we used flood hydrological simulation to obtain the flood map and reconstructed the road network under different scenarios initially. Then, we obtained road traffic volumes by commuter travel simulation based on Baidu traffic big data. The traffic volume was supplemented as a road attribute to complete the road network reconstruction. Finally, three centrality indicators were calculated under multi-scenario flood events to show the impact of flooding hazards on the topological characteristics of the urban road network by statistical and spatial analyses. The results showed: 1) Flood events change the characteristics and patterns of urban road network. Under the 50-year-flood scenario, the number of network nodes and links decrease by 20.29% and 37.04%, respectively, and the centrality values of more than 80% of nodes or links have changed. 2) When the flood occurs, the maximum and 99% quantile value of betweenness centrality increase while the closeness centrality decrease, indicating that the occurrence of flood makes the impact of key nodes or edges in the road network more prominent but the connectivity between nodes or edges worse. The conclusion is also confirmed by the tail distribution of the centrality cumulative distribution function. 3) Key edges and nodes' locations shift with the occurrence of flood events and shrink towards the central city area with increasing flood intensity. Specifically, it is transferred from the Second Ring Road of Wuhan to the Yanjiang Avenue within the First Ring Road. The findings of the study are important references for identifying critical areas of urban traffic and for disaster emergency management. In flood disaster management, attention should be paid to the core areas to prevent congestion; And in urban planning, strengthening road construction in peripheral areas, improving road drainage performance and road network connectivity are the key to reduce the impact of flood disasters on urban road network.

Key words: network topological characterization, centrality indicators, flood simulation, commuter travel simulation, Wuhan Metropolitan Region

CLC Number: 

  • U491