Original Research
Disaster resilience framework indicators for a city’s disaster resilience planning strategy
Submitted: 18 November 2021 | Published: 31 May 2022
About the author(s)
Tanja Terblanche, African Centre for Disaster Studies, Faculty of Natural and Agricultural Science, North-West University, Potchefstroom, South AfricaLuiza O. de Sousa, Community-based Educational Research (COMBER), Department of Geography Education and Environmental Education, Faculty of Education, North-West University, Potchefstroom, South Africa
Dewald van Niekerk, African Centre for Disaster Studies, Faculty of Natural and Agricultural Science, North-West University, Potchefstroom, South Africa
Abstract
Determining the level of a city’s disaster resilience and developing a disaster resilience strategy is an important process towards understanding the current and potential future risk of cities. However, the process of determining and mapping the level of urban disaster resilience presents a challenge for the City of Tshwane, as it requires a consolidated and coordinated commitment and collaboration from various role players. This research study developed disaster resilience framework indicators for the City of Tshwane to determine its current disaster resilience and to contribute to its disaster resilience and sustainable development planning strategy. The research assumed a case study design using a qualitative approach to gather data through document analysis and one-on-one interviews. Ten disaster resilience framework indicators were identified as essential indicators in assisting the City of Tshwane with its endeavour to be a disaster resilient city.
Keywords
Metrics
Total abstract views: 2968Total article views: 8483
Crossref Citations
1. Urban waterlogging resilience assessment and postdisaster recovery monitoring using NPP-VIIRS nighttime light data: A case study of the ‘July 20, 2021’ heavy rainstorm in Zhengzhou City, China
Yaohui Liu, Wenyi Liu, Yu Lin, Xinyu Zhang, Jie Zhou, Benyong Wei, Gaozhong Nie, Lutz Gross
International Journal of Disaster Risk Reduction vol: 90 first page: 103649 year: 2023
doi: 10.1016/j.ijdrr.2023.103649