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Along, N Z B, Ahmed, I and MacKee, J (2024) Flood knowledge management by multiple stakeholders: an example from Malaysia. International Journal of Disaster Resilience in the Built Environment, 15(01), 141-57.
Chao-Amonphat, S, Nitivattananon, V and Srinonil, S (2024) Adaptation measures on hydrological risks and climate change impacts in urbanized sub-region, Thailand: a case study in lower Chao Phraya River basin. International Journal of Disaster Resilience in the Built Environment, 15(01), 59-79.
Chouhan, S, Narang, A and Mukherjee, M (2024) Multihazard risk assessment of educational institutes of Dehradun, Uttarakhand. International Journal of Disaster Resilience in the Built Environment, 15(01), 45-58.
Hooshangi, N, Mahdizadeh Gharakhanlou, N and Ghaffari-Razin, S R (2024) Urban search and rescue (USAR) simulation in earthquake environments using queuing theory: estimating the appropriate number of rescue teams. International Journal of Disaster Resilience in the Built Environment, 15(01), 1-18.
- Type: Journal Article
- Keywords: disaster risk reduction; earthquake damage; number of rescuers; queuing theory; survival rate; urban search and rescue
- ISBN/ISSN:
- URL: https://doi.org/10.1108/IJDRBE-09-2021-0122
- Abstract:
Purpose: The duration of an urban search and rescue (USAR) operation directly depends on the number of rescue teams involved. The purpose of this paper is to simplify the earthquake environment and determine the initial number of rescuers in earthquake emergencies in USAR operation. Design/methodology/approach: In the proposed methodology, four primary steps were considered: evaluation of buildings damage and the number of injured people by exerting geospatial information system (GIS) analyses; determining service time by means of task allocation; designing the simulation model (queuing theory); and calculation of survival rate and comparison with the time of rescue operations. Findings: The calculation of buildings damage for an earthquake with 6.6 Richter in Tehran’s District One indicated that 18% of buildings are subjected to the high damage risk. The number of injured people calculated was 28,856. According to the calculated survival rate, rescue operations in the region must be completed within 22.33 h to save 75% of the casualties. Finally, the design of the queue model indicated that at least 2,300 rescue teams were required to provide the calculated survival rate. Originality/value: The originality of this paper is an innovative approach for determining an appropriate number of rescue teams by considering the queuing theory. The results showed that the integration of GIS and the simulation of queuing theory could be a helpful tool in natural disaster management, especially in terms of rapid vulnerability assessment in urban districts, the adequacy and appropriateness of the emergency services. © 2022, Emerald Publishing Limited.
Nipun, M W H, Ashik-Ur-Rahman, M, Rikta, S Y, Parven, A and Pal, I (2024) Rooftop rainwater harvesting for sustainable water usage in residential buildings for climate resilient city building: case study of Rajshahi, Bangladesh. International Journal of Disaster Resilience in the Built Environment, 15(01), 80-100.
Samadi, S and Taslimi, M S (2024) Develop a situation-based prioritization program as a road map to enhance the pre-resilience in flood management using machine learning methods. International Journal of Disaster Resilience in the Built Environment, 15(01), 101-15.
Samonte, P and Djalante, R (2024) Postdisaster relocation and its impacts on family dynamics: a case study of typhoon Ketsana relocation in the Philippines. International Journal of Disaster Resilience in the Built Environment, 15(01), 158-73.
Sekac, T, Jana, S K and Pal, I (2024) Spatio-temporal vegetation cover analysis to determine climate change in Papua New Guinea. International Journal of Disaster Resilience in the Built Environment, 15(01), 116-40.
Thakore, A Y, Iyer, M, Mishra, G and Doshi, S (2024) Resilient WASH development for urban poor: the case of Ahmedabad slums. International Journal of Disaster Resilience in the Built Environment, 15(01), 19-44.