Volume 6, Issue 1 (6-2014)
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Ganjehi S, Omidvar B, Norouzi Khatiri K, Malekmohammadi B. Analysis of Safety Parameters in the Selection of Optimal Routes for Search and Rescue (Case Study: 13 Aban Neighborhood of Tehran). jorar 2014; 6 (1)
URL: http://jorar.ir/article-1-179-en.html
URL: http://jorar.ir/article-1-179-en.html
M.Sc in Natural Disaster Management, University of Tehran, Tehran, Iran
Abstract: (4447 Views)
INTRODUCTION: Earthquakes severely threaten urban environments, especially Tehran, and cause widespread damage and can result in many casualties and extensive damage. The first need of earthquake affected people is to save and receive rescue and relief services in the shortest possible time. In order to accelerate and speed up relief, the most optimal path in terms of safety should be taken into consideration. Therefore, in the phase before the occurrence of an earthquake, in the investigation of the safety of the road network and the determination of the most optimal route, it is necessary to consider a set of parameters considering the importance of each of them. According to this issue, in this research, the approach of multi-factor analysis in order to determine and evaluate the effective safety parameters in choosing the optimal relief routes in the city after the earthquake has been paid attention, and as a pilot study, it has been implemented in the 13 Aban neighborhood of Tehran.
METHODS: At the present study, which is an example of a case-based method, it has been determined the effective parameters in the safety of the road network and the analysis of the relationship between them and the effect of each of the parameters in choosing the most optimal safe route for the 13 neighborhood of Aban, the 20th district of Tehran municipality. For this purpose, the hierarchical process analysis model has been used as the main model, as well as the capabilities and analysis techniques of GIS software, such as overlaying information layers.
FINDINGS: Some parameters including hazardous uses, transportation buildings parameters of uses (such as fuel stations, chemical storage centers, etc.), transportation structures (such as bridges and tunnels), vulnerability and heavy damage to buildings, and population density in determining the optimal safe rescue route The main influencing parameters, each of which has a different degree of importance; So that the vulnerability of buildings adjacent to the network is the highest with 38% and the population density with 15% has the lowest coefficient of importance. In addition, the influence of factors such as the slope of roads, the distance from faults and canals cannot be ignored.
CONCLUSION: This research showed that until now, the determination and optimization of relief routes has not been given due attention. By determining and optimizing rescue routes, it is possible to provide the most rescue services in the shortest possible time. The main influencing parameters in determining the safe passage network include population density, vulnerability and heavy damages to buildings, transportation facilities and dangerous uses.
METHODS: At the present study, which is an example of a case-based method, it has been determined the effective parameters in the safety of the road network and the analysis of the relationship between them and the effect of each of the parameters in choosing the most optimal safe route for the 13 neighborhood of Aban, the 20th district of Tehran municipality. For this purpose, the hierarchical process analysis model has been used as the main model, as well as the capabilities and analysis techniques of GIS software, such as overlaying information layers.
FINDINGS: Some parameters including hazardous uses, transportation buildings parameters of uses (such as fuel stations, chemical storage centers, etc.), transportation structures (such as bridges and tunnels), vulnerability and heavy damage to buildings, and population density in determining the optimal safe rescue route The main influencing parameters, each of which has a different degree of importance; So that the vulnerability of buildings adjacent to the network is the highest with 38% and the population density with 15% has the lowest coefficient of importance. In addition, the influence of factors such as the slope of roads, the distance from faults and canals cannot be ignored.
CONCLUSION: This research showed that until now, the determination and optimization of relief routes has not been given due attention. By determining and optimizing rescue routes, it is possible to provide the most rescue services in the shortest possible time. The main influencing parameters in determining the safe passage network include population density, vulnerability and heavy damages to buildings, transportation facilities and dangerous uses.
Keywords: Earthquake, Rescue & Relief routes, Analytic hierarchy process (AHP), Crisis management, Optimization, 13 Aban district of Tehran.
Article Type: Research article |
Subject:
Psychological support in disasters
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