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Alam, M S and Haque, S M (2020) Seismic vulnerability evaluation of educational buildings of Mymensingh city, Bangladesh using rapid visual screening and index based approach. International Journal of Disaster Resilience in the Built Environment, 11(03), 379–402.

Cariño, J M N and Garciano, L E O (2019) Proposed evacuation safety index (ESI) for school buildings. International Journal of Disaster Resilience in the Built Environment, 11(03), 309–28.

Garakani, S A, Lak, A and Niyasati, M (2020) Toward sustainable development in post-flood relocation of rural settlements in Iran. International Journal of Disaster Resilience in the Built Environment, 11(03), 359–77.

Heidari, S, Vatankhah, S, Tourani, S and Heidari, M (2020) The perceptions of policymakers on earthquake mitigation. International Journal of Disaster Resilience in the Built Environment, 11(03), 403–14.

Karki, T K (2019) Flood resilience in Malaysian cities: a case study of two towns in Johor state. International Journal of Disaster Resilience in the Built Environment, 11(03), 329–42.

Odiase, O, Wilkinson, S and Neef, A (2019) Risk of natural hazards and the coping capacity of the South African community in Auckland. International Journal of Disaster Resilience in the Built Environment, 11(03), 343–57.

  • Type: Journal Article
  • Keywords: Coping capacity; South Africa; Social; Economic; Communication; Information; Disaster; Community;
  • ISBN/ISSN: 1759-5908
  • URL: https://doi.org/10.1108/IJDRBE-06-2019-0030
  • Abstract:
    The risks of natural hazards such as flooding, earthquakes, tsunami, landslides, tornado, coastal erosion and volcano are apparent in Auckland because of its vulnerability to multiple risks. The coping capacity of individuals serves as a precursor to the adaptation to inherent challenges. The purpose of this paper was to examine the coping capacity of the South African community in Auckland to a disaster event. Design/methodology/approach This study gathered information from both primary and secondary sources. Interviews and survey were the main sources of primary data. The research used parametric and non-parametric statistical tools for quantitative data analysis, and the general inductive process and a three-step coding process to analyse qualitative data. The research findings are discussed in line with existing studies. Findings The results indicated that the aggregate coping capacity of the community was above average on the scale of 1-5 with communication and economic domains having the highest and least capacities, respectively. An improvement in disaster response activities and economic ability among the vulnerable population should be considered in future policy to enhance coping capacity. Research limitations/implications The study was limited to the time of the investigation. The practical coping capacity of the community during challenges will be determined. This study excludes the roles of institutions and the natural environment in coping capacity because the unit of analysis was the individual members of the community. Originality/value The research is a pioneer study on the coping capacity of the South African community in Auckland.

Perera, C, Jayasooriya, D, Jayasiri, G, Randil, C, Bandara, C, Siriwardana, C, Dissanayake, R, Hippola, S, Sylva, K, Kamalrathne, T and Kulatunga, A (2020) Evaluation of gaps in early warning mechanisms and evacuation procedures for coastal communities in Sri Lanka. International Journal of Disaster Resilience in the Built Environment, 11(03), 415–33.

Soetanto, R, Hermawan, F, Milne, A, Hatmoko, J U D, As'ad, S and He, C (2020) Developing sustainable arrangements for “proactive” disaster risk financing in Java, Indonesia. International Journal of Disaster Resilience in the Built Environment, 11(03), 435–51.