Abstracts – Browse Results
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Çağlayan, N and Satoglu, S I (2022) Simulation analysis of critical factors of casualty transportation for disaster response: a case study of Istanbul earthquake. International Journal of Disaster Resilience in the Built Environment, 13(05), 632-47.
Afreen, M, Haq, F and Mukhtar, Z (2022) Flood susceptibility analysis of the Panjkora Valley Northern Pakistan, using frequencyratio approach. International Journal of Disaster Resilience in the Built Environment, 13(05), 601-14.
Clegg, G, Haigh, R and Amaratunga, D (2022) Towards an improved understanding of participation in natural hazard early warning systems. International Journal of Disaster Resilience in the Built Environment, 13(05), 615-31.
Fallah-Aliabadi, S, Ostadtaghizadeh, A, Fatemi, F, Ardalan, A, Rezaei, E, Raadabadi, M and Heydari, A (2022) Hospital disaster resilience: development of an assessment tool using expert panel and fuzzy analytical network process. International Journal of Disaster Resilience in the Built Environment, 13(05), 554-67.
- Type: Journal Article
- Keywords: analytic network process; built environment; disaster; disaster mitigation; fuzzy analytic network process; hospital; infrastructure; resilience
- ISBN/ISSN:
- URL: https://doi.org/10.1108/IJDRBE-11-2020-0119
- Abstract:
Purpose: Resilient hospitals have the vital role in reducing mortality, severity of injuries by providing required emergency services during accidents and disasters. This study aims to identify and prioritize key indicators on hospital resilience. Design/methodology/approach: This cross-sectional study was conducted in 2019. The draft of the indicators obtained from the systematic review of the previous study was finalized, with three expert panel sessions and 14 experts in resilience fields. The outputs of these sessions were divided into three domains including constructive resilience, infrastructural resilience and administrative resilience, 17 sub-domains and 71 indicators. Then fuzzy analytic network process method was used to weight and prioritize the final indicators of hospital disaster resilience. Findings: Administrative resilience, logistic and financial management and strategic outsourcing agreement allocated the highest weight as domain, sub-domains and indicators, respectively. The weight of each sub-domain and indicator was also determined. Originality/value: Investigating the weight of domains, sub-domains and indicators shows the importance of managerial and operational issues in hospital resilience. By using the indicators and relative weights, a tool for measuring hospital disaster resilience can be created in further studies. The output of these assessments is effective in promoting safety and increasing awareness of hospital managers and health policymakers. © 2021, Emerald Publishing Limited.
Pitigala Liyana Arachchi, I S, Siriwardana, C, Amaratunga, D and Haigh, R (2022) Evaluation of societal trust on multi-hazard early warning (MHEW) mechanism: Sri Lankan context. International Journal of Disaster Resilience in the Built Environment, 13(05), 533-53.
Shariat Alavi, M, Fallahi, A, Mottaki, Z and Aslani, F (2022) Post-disaster sheltering process after the 2019 floods, in Golestan province, Iran. International Journal of Disaster Resilience in the Built Environment, 13(05), 568-82.
Tsai, S L, Ochiai, C, Deng, C Z and Tseng, M H (2022) A sustainable post-disaster housing development framework for an indigenous Hao-Cha community in Taiwan: considering culture and livelihood in housing extensions. International Journal of Disaster Resilience in the Built Environment, 13(05), 583-600.