Volume 16, Issue 1 (1-2024)
jorar 2024, 16(1): 1-17 |
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Ghodousi M, Vatani M, Darbandi F. Locating New Red Crescent Society Bases in North Khorasan Province. jorar 2024; 16 (1) :1-17
URL: http://jorar.ir/article-1-854-en.html
URL: http://jorar.ir/article-1-854-en.html
PhD in Geospatial Information Systems, Geoinformation Technology Center of Excellence, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Tehran, Tehran, Iran
Abstract: (545 Views)
INTRODUCTION: The present study aimed to locate new Red Crescent Society (RCS) road rescue and relief bases in the North Khorasan province in order to determine appropriate places for establishing new bases.
METHODS: In this research, first the desired criteria were selected based on previous researches and experts' comments on locating the RCS road rescue and relief bases. Then, the preparation and standardization of information layers were performed using the fuzzy method and Analytical Hierarchical Process (AHP) method was used to weigh the criteria. Moreover, the combination of criteria was carried out by using the Weighted Linear Combination (WLC) method. Finally, new bases were located by taking into account the area and other criteria through satellite images.
FINDINGS: The results indicated that among all the sub-criteria, the distance from the accident-prone points had the most weight. After combining the criteria, highest priority and high-priority areas for locating RCS road rescue and relief bases were situated in the northwest, center, south, and east of the province. In this research, nine lots with a total area of 33864 square meters were located in the high-priority area.
CONCLUSION: Properly locating RCS road rescue and relief bases enhances their efficiency; therefore, the management will be able to provide a range of different services to citizens all over the country by taking appropriate measures.
METHODS: In this research, first the desired criteria were selected based on previous researches and experts' comments on locating the RCS road rescue and relief bases. Then, the preparation and standardization of information layers were performed using the fuzzy method and Analytical Hierarchical Process (AHP) method was used to weigh the criteria. Moreover, the combination of criteria was carried out by using the Weighted Linear Combination (WLC) method. Finally, new bases were located by taking into account the area and other criteria through satellite images.
FINDINGS: The results indicated that among all the sub-criteria, the distance from the accident-prone points had the most weight. After combining the criteria, highest priority and high-priority areas for locating RCS road rescue and relief bases were situated in the northwest, center, south, and east of the province. In this research, nine lots with a total area of 33864 square meters were located in the high-priority area.
CONCLUSION: Properly locating RCS road rescue and relief bases enhances their efficiency; therefore, the management will be able to provide a range of different services to citizens all over the country by taking appropriate measures.
Keywords: Analytical Hierarchical Process, Locating, Red Crescent Society road rescue and relief bases, Weighted Linear Combination
Short Reports or Letters: Research Article |
Subject:
سایر موارد مرتبط با بحران، حوادث وامدادونجات
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