Applying causal loop diagram to localize the Disaster Resilience Scorecard of UNDRR - a case study of Taipei City

Autor: Tsung-Yi Pan, Jing-Ting Wang, Cheng-Chi Cheng, Jihn-Sung Lai
Rok vydání: 2023
DOI: 10.5194/egusphere-egu23-3724
Popis: In recent years, the impact of climate change and extreme weather has not only expanded the scale of disasters, but also increased the frequency of disasters. In order to reduce the impact of natural disasters on cities, Making Cities Resilient (MCR) 2030 promoted by the international community has become an important issue. This study uses the "Ten Essentials" Toolkit for Resistant City constructed by the UNDRR to evaluate the disaster prevention and resilience capabilities of cities. However, the key to quantifying urban resilience is to link the indicators of the Disaster Resilience Scorecard with the operations of local government departments to strengthen urban resilience. Taking Taipei City as an example, this study uses the causal loop diagram (CLD) method to explore the business relationship between "Ten Essentials" and various bureaus, and builds a localized disaster resistance scorecard through expert meetings. CLD provides a visual map of the links between resilience indicators and local government operations, providing a clear conceptual model of operating resilient systems.It can be seen from the analysis results that through the questionnaire survey, Taipei City's disaster prevention and resilience capabilities have achieved satisfied results in various Essentials. Among them, "Organizational Resilience", "Enhancing Organizational Resilience and Disaster Resilience", "Increasing Infrastructure Resilience", and "Ensuring Effective Disaster Response" performed best. At the same time, it is necessary to continue to strengthen the actuarial calculation of disaster risks, enhance financial resilience through catastrophe funds, and implement various measures such as community disaster prevention and business continuity plans, so as to continue to strengthen Taipei's urban resilience in the future.
Databáze: OpenAIRE