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Bennett, W G and Karunarathna, H (2019) Coastal flood alleviation through management interventions under changing climate conditions. International Journal of Disaster Resilience in the Built Environment, 11(02), 187–203.

Haigh, R, Sakalasuriya, M M, Amaratunga, D, Basnayake, S, Hettige, S, Premalal, S and Jayasinghe Arachchi, A (2020) The upstream-downstream interface of Sri Lanka’s tsunami early warning system. International Journal of Disaster Resilience in the Built Environment, 11(02), 219–40.

Hamza, M and Månsson, P (2019) The human dimension of early warning – a viewpoint. International Journal of Disaster Resilience in the Built Environment, 11(02), 263–74.

Hanggara, D and Wijeyewickrema, A C (2019) Vulnerability assessment of reinforced concrete buildings in Indonesia subjected to tsunami inundation forces. International Journal of Disaster Resilience in the Built Environment, 11(02), 204–18.

Rahayu, H P, Comfort, L K, Haigh, R, Amaratunga, D and Khoirunnisa, D (2020) A study of people-centered early warning system in the face of near-field tsunami risk for Indonesian coastal cities. International Journal of Disaster Resilience in the Built Environment, 11(02), 241–62.

Randil, C, Siriwardana, C and Hewawasam, K (2019) Framework to analyze Sri Lanka disaster management mechanism. International Journal of Disaster Resilience in the Built Environment, 11(02), 289–307.

  • Type: Journal Article
  • Keywords: Risk reduction; Evaluation; Resilience; Disaster management framework;
  • ISBN/ISSN: 1759-5908
  • URL: https://doi.org/10.1108/IJDRBE-07-2019-0044
  • Abstract:
    The purpose of this study is to develop a framework to assess the disaster management mechanism in Sri Lanka by means of the established indicators and newly derived indicators. This could be used to identify the parameters, which should be paid much attention to improving the resilience of the built environment. Design/methodology/approach This paper initially examines the effectiveness of the existing mechanism using data from a field study, by identifying the parameters needed to be considered based on the existing literature. Then the study continues on identifying new parameters of evaluation, covering a broad multidisciplinary scope inclusive of geographic, demographic, environmental, technological, social, economic and political perspectives. The identification process is based on regression relationships; hence, a framework will be developed to assess the resilience of the built environment. Findings The findings showed that the existing disaster management mechanism should be improved in terms of authoritative assistance while the humanitarian assistance is fulfilled to a satisfactory level as the resilience of the built environment is often community-based in Sri Lanka. Furthermore, resilience of a certain region could be effectively assumed with the indicators within the developed framework. Originality/value The existing evaluation criteria of the resilience framework in Sri Lanka is rather qualitative than quantitative. Therefore, this paper focuses on developing a framework where quantitative parameters are used to evaluate the existing mechanism from a number of responses from field surveys. In addition, recommendations for the key areas to be focused on developing the existing mechanism are stated.

Rathnayake, D K, Kularatne, D, Abeysinghe, S, Shehara, I, Fonseka, T, Edirisinghe Mudiyanselage, S D J, Kamalrathne, W G C T, Siriwardana, C, Alagiyawanna Mohotti Appuhamilage, C S B and Dissanayake, R (2020) Barriers and enablers of coastal disaster resilience – lessons learned from tsunami in Sri Lanka. International Journal of Disaster Resilience in the Built Environment, 11(02), 275–88.

Wickramaratne, S, Wirasinghe, S C and Ruwanpura, J (2019) An update of proposed Sri Lanka warning system for east and west coast tsunamis. International Journal of Disaster Resilience in the Built Environment, 11(02), 169–86.

Wijetunge, J J (2019) A multi-scenario assessment of the seismogenic tsunami hazard for Bangladesh. International Journal of Disaster Resilience in the Built Environment, 11(02), 156–68.