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Abunyewah, M, Gajendran, T, Maund, K and Okyere, S A (2019) Linking information provision to behavioural intentions. International Journal of Disaster Resilience in the Built Environment, 11(01), 100–18.

Aryal, A and Wilkinson, S (2019) The role of social capital in the recovery of cultural built heritage. International Journal of Disaster Resilience in the Built Environment, 11(01), 44–57.

Asadi, M and Karami, J (2019) Modeling of the city evacuation plan in case of earthquake with particle swarm optimization (PSO) and imperialist competition algorithm (ICA). International Journal of Disaster Resilience in the Built Environment, 11(01), 134–51.

Jahangiri, K, Borgheipour, H, Gendeshmin, S B, Matin, A and Monazami Tehrani, G (2019) Site selection criteria for temporary sheltering in urban environment. International Journal of Disaster Resilience in the Built Environment, 11(01), 58–70.

  • Type: Journal Article
  • Keywords: Temporary sheltering; Urban environment; Index overlay; Fuzzy logic; Crisis planning; Natural disasters; Developing country;
  • ISBN/ISSN: 1759-5908
  • URL: https://doi.org/10.1108/IJDRBE-06-2018-0025
  • Abstract:
    The inevitable occurrence of natural disasters and crisis arising from them causes a lot of losses globally, particularly in disaster-prone countries such as Iran. One of the main issues considered by organizations involved in crisis management is the selection of suitable sites for temporary sheltering for disaster victims. This study aims to choose safe places to establish temporary sheltering in urban environment. Design/methodology/approach Initially, relevant factors are identified by reviewing literature and through consultation with disaster experts. Next, the important layers were collected and analytical hierarchy process was used to assess the criteria weights based on their effectiveness on selection of safe sites for temporary sheltering. Finally, for integrating layers of factors, overlay and fuzzy models were used in Geographic Information System (GIS) environment, and subsequently, a proper map was prepared and suitable areas were identified. Findings 7 main criteria and 19 sub-criteria were selected to provide safe places for temporary sheltering. The results of fuzzy model in this study provide more accurate and limited safe areas for temporary sheltering when compared to index overlay model. Originality/value The results of this study will help decision-makers and local and regional managers to reduce the vulnerability of at-risk communities in urban environments. Moreover, choosing appropriate places for temporary shelters would help build community disaster resilience according to these criteria.

Mendes, J M, Tavares, A O and Santos, P P (2019) Social vulnerability and local level assessments: a new approach for planning. International Journal of Disaster Resilience in the Built Environment, 11(01), 15–43.

Miller, J P (2019) Post-disaster recovery through the evolution of the lakou, a traditional settlement pattern. International Journal of Disaster Resilience in the Built Environment, 11(01), 3–14.

Okunola, O H (2019) Residents vulnerability analysis and explanation of development-induced disasters in a Sub-Saharan African city. International Journal of Disaster Resilience in the Built Environment, 11(01), 71–84.

Rahayu, H P, Haigh, R, Amaratunga, D, Kombaitan, B, Khoirunnisa, D and Pradana, V (2019) A micro scale study of climate change adaptation and disaster risk reduction in coastal urban strategic planning for the Jakarta. International Journal of Disaster Resilience in the Built Environment, 11(01), 119–33.

Tavakoli Taba, S, Mojtahedi, M and Newton, S (2019) Disaster risk management approaches in construction and built environment. International Journal of Disaster Resilience in the Built Environment, 11(01), 85–99.