A Multi-Hazard Risk Assessment Framework for Urban Disaster Prevention Planning: A Case Study of Xiamen, China

Abstract

Understanding and measuring the relative risk level of a city facing multi-hazards is fundamental to improving its disaster prevention planning and schemes. A comprehensive risk evaluation approach stands at the intersection of risk management and disaster system theory. It is also an important interdisciplinary field of catastrophology, economics, and urban infrastructure planning. We believe that current attempts to define and measure comprehensive urban natural disaster risks have certain limitations. Therefore, we propose an Urban Multi-hazards Risk Assessment Framework (UMRAF) which draws on definitions, methods, and experience from risk management, evaluation of property, the value of statistical life, and disaster system theory. It contains local disaster identification, place-based risk assessment (taking into account more than one hazard at a time), urban anti-disaster capability assessment, and relative composite risk index measurement. In our case study of Xiamen, China, to check the feasibility of our UMRAF, we examined local multi-hazards risk distribution and urban anti-disaster capacity layout. We then expanded and visualised the spatial distribution of the relative composite risk index of each evaluation unit across the city via our analyst tool, thereby helping to tailor measures that can reduce risk at a local level.

An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations

“…Although the analysis of a single event can help to put forward specific measures for the prevention and control of ground collapse regarding collapse mechanisms [8,9], event databases can provide better management references through revealing the spatiotemporal patterns and complex causes of collapses [10,11]. Consequently, combining geographic information technology and text recognition technology to extract UGC events from a large number of news reports and analyzing their spatiotemporal patterns can quantitatively evaluate geological risks at a regional scale, which is of great significance [12][13][14].…”

GIS analysis of urban ground collapse susceptibility: a case study of eastern Hangzhou, China

“…Conversely, the quantity of UGC events exhibits a pattern of continuous expansion in parallel with urbanization (He et al, 2022;Tan et al, 2022). Therefore, the growing conflict between the advancement of underground spaces and urban safety emphasizes the urgent requirement for the government to establish a more sophisticated control strategy, which necessitates conducting a comprehensive susceptibility assessment beforehand (Gutiérrez et al, 2014;Xie et al, 2021;Zhou and Zhai, 2023).…”