Comprehensive Risk Assessment of Urban Waterlogging Disaster Based on MCDA-GIS Integration: The Case Study of Changchun, China

Abstract

Urban waterlogging will harm economic development and people’s life safety; however, the waterlogging risk zoning map provides the necessary decision support for the management of urban waterlogging, urban development and urban planning. This paper proposes an urban waterlogging risk assessment method that combines multi-criteria decision analysis (MCDA) with a geographic information system (GIS). The framework of urban waterlogging risk assessment includes four main elements: hazard, exposure, vulnerability, and emergency response and recovery capability. Therefore, we selected the urban area of Changchun City, Jilin Province as the study area. The Analytic Hierarchy Process (AHP) is a generally accepted MCDA method, it is used to calculate the weight and generate a result map of hazards, exposure, vulnerability, and emergency responses and recovery capability. Based to the principle of natural disaster risk formation, a total of 18 parameters, including spatial data and attribute data, were collected in this study. The model results are compared with the recorded waterlogging points, and the results show that the model is more reliable.

Research on Evaluation of Resilience and Improvement Strategy of Changchun Transportation System Based on Natural Hazard Risk Assessment

“…In this study, based on the complexity and diversity of urban transportation systems, 22 indicators were selected to evaluate their resilience, taking into account hazards, vulnerabilities, exposure, and emergency response and recovery capabilities (Duan, et al 2022). Specifically, hazard considers the impact of natural disasters on the transportation system, vulnerability considers the connectivity of the transportation network and the distribution of economic activities, exposure considers the distribution of the urban population and the criticality of the nodes, and disaster prevention and mitigation capacity consider the emergency response and post-disaster recovery capacity of the transportation system.…”

“…Strong winds may trigger the fall of trees and the collapse of buildings, causing damage to the urban environment and further affecting the operation of the transportation system. In addition, when the wind speed is high, a large amount of flying dust and flying sand may be generated, reducing the visibility of the road and increasing the risk of traffic accidents (Zhang et al 2022). The spatial distribution of hazard indicators is shown in Fig 3.…”

A Remote Sensing Method to Assess the Future Multi-Hazard Exposure of Urban Areas

“…In the study developed by Duan et al [8], aimed at assessing the waterlogging risk, the authors combined multi-criteria decision analysis and geographic information systems Remote Sens. 2023, 15, 4288 2 of 37 to determine, among other components, such as hazard, vulnerability, and emergency response and recovery capability, the exposure level to that risk.…”

Urban Flood Dynamic Risk Assessment Based on Typhoon Rainfall Process: A Case Study of Typhoon “Lupit” (2109) in Fuzhou, China

“…The index system method is a useful tool for assessing flood risk, with some researchers proposing indices such as disaster-causing factors, disaster-pregnant environments, disaster-bearing bodies, and disaster prevention and reduction capacity. By calculating the weight of each index, it is possible to obtain a quantitative expression of flood disaster risk [41,42]. However, the selection and weighting of indices are crucial for ensuring the validity of the assessment process.…”