Urban waterlogging resilience assessment based on combination weight and cloud model: A case study of Haikou

Based on a review of previous studies on urban resilience, this research paper focuses on the issue of waterlogging. It integrates resilience concepts to propose a process decomposition of urban resilience, utilizing the pressure-state-response conceptual model. A quantitative assessment model for waterlogging resilience under rainstorm conditions was developed, and three types of resilience to waterlogging disasters in Haikou were explored through a combination of game theory and cloud models. The study provides an in-depth understanding of Haikou's flood resistance capacity. It reveals that Haikou's resilience was at a moderate level during the study period, but there has been a slight decline over time. The resilience index of 2020 is approximately 2.35 % lower than in 2015. The state resilience declined sharply. Areas with high urban resilience are typically concentrated in the central area, while those with low resilience are generally located in undeveloped areas. From the perspective of indicator changes, the two indicators of per capita GDP and average rainfall exhibited the most significant downward trends. To systematically enhance Haikou's flood resistance capabilities, the paper proposes three strategies: pressure, state, and response. The research results offer detailed decision-making guidance for the construction of urban flood-resistant systems and provide scientific support for the quantification of flood resistance capacity. In recent years, urban natural disasters occur frequently, and waterlogging disaster has become one of the biggest threats faced by coastal urban area. To deal with the increasingly severe urban waterlogging disaster, improving the urban resistance is a new way to achieve future urban development. Combining the theory of waterlogging disaster and resilience based on the PSR model, the whole process evaluation framework and method of urban waterlogging disaster resilience are proposed. To obtain more reliable evaluation results, a quantitative evaluation model of urban resilience was established by using game theory and cloud model. The distribution map of urban waterlogging resilience in 2015 and 2020 was obtained by ArcGIS to identify the evolution characteristics of urban waterlogging resilience and improve the ability to effectively cope with waterlogging disasters. [Display omitted] •The PSR model is used to analyze the whole process of urban resilience.•An evaluation model of urban resilience under rainstorms is