Document Type : علمی - پژوهشی


1 Qeshm University Campus, University of Hormozgan

2 University of Hormozgan


Extended Abstract


The deployment of every urban element in the position of the body - a particular area of the city - is subjected to certain principles, rules and procedures that, if followed, will ensure the success and effectiveness of thatelement in the same place, otherwise there will be many problems with the occurrence it does. Therefore, achieving equilibrium in the spatial distribution of resources and services is the main goal of the planners. Considering the importance of locating and its position in various projects, the importance of the location of the fire stations and the direct impact on its model and performance will be determined. Provision of fire station services requires their proper location in order to distribute them appropriately to minimize their financial losses. Locating fire stations and determining the number and location of stations guarantee the safety of citizens in the event of any incident. Today, with urban sprawl increasing, development is occurring at a rapid pace outside central city limits. Large commercial and business districts (often with more office and retail space than the downtown area) quickly establish themselves in suburbia. The City of Bandar Abass has not escaped this expansion.  With current development activity expanding at the edge of existing city limits and large developments planned in the extraterritorial jurisdiction, the need for adequate fire and services increases. City of Bandar Abass with a very dense urban structure and improper unavailable network is a typical example of such cities. Optimal location and distribution of fire stations for increased important and attentions have significant importance in to the safety in the city and provide arrangements to prevent and respond to fires and accidents. Urban planning standards and the relevant regulations can have made a significant contribution in reducing the loss of life and property and for the safety of citizens in the long run. The most important issue to service fire stations in Bandar Abbas city is insufficient number of stations and the limited range of available functional stations. This study intends to provide practical examples of the application of this tool to determine the appropriate locations of fire stations according to the needs of People in Bandar Abbas's one st District. The Bandar Abbas city has a geographical location between 18 56 up to 22 56 east longitude and 08 27 to 15 27 north latitude; it is located in the eastern part of Bandar Abbas.

Review of Literature

The general objective of Multi-criteria Decision Making (MCDM) is to assist the decision-maker (DM) in selecting the “best” alternative from the number of feasible choicealternatives under the presence of multiple choice criteria and diverse criterion priorities. The multicriterion choice can be attributed to many spatial decision-making problems involving search and location/allocation of natural resources. These problems, often analysed in GIS, include location/ site selection for: service facilities, retail outlets, critical areas, hazardous waste disposal sites and emergency service locations. A site selection decision is structured according to the following steps: (1) determining the criteria that are used in evaluating the alternatives; (2) describing relevant criteria in decision making process; (3) developing the multi-criteria site selection alternatives; and (4) evaluating the alternatives and making the final site selection decision. Site selection is a typical MCDM problem in which preference among performance criteria plays a key role in the final decision. To assess the decision-maker’s preference with a preference model, many efforts have been made to develop the theory and methodology for preference assessment. One of the most preferred approaches is Analytic Hierarchy Process (AHP) which has been developed by Saaty (1980). In AHP, a decision problem is first decomposed into a hierarchy of more easily comprehended sub-problems, each of which can be analysed independently. The elements of the hierarchy can relate to any aspect of the decision problem. Once the hierarchy is built, the decision makers systematically evaluate its various elements by comparing them to one another two at a time. Given a pairwise comparison, the analysis involves three steps: (1) developing a comparison matrix at each level of the hierarchy starting from second level to the last level, (2) computing the relative weights for each element of the hierarchy, and (3) estimating the consistency ratio to check the consistency of the judgements . The AHP site selection solution process starts with theidentification of the pertinent site selection factors. These factors are then structured into hierarchy descending from an overall objective to various criteria and sub-criteria in successive levels. The priority weights of structured site selection factors are then determined through pairwise comparisons to reflect the judgments and relative preferences of different stakeholders. The site selection decision ends when the decision makers provide their final recommendation for the most suitable site(s) with the analysis results. The site selection process involves making spatial decisions. GIS, with the capabilities of data acquisition, storage, retrieval, manipulation, analysis and visualization, has been used for supporting spatial decision-making. were the first to combine GIS and AHP procedure to aid in site selection. The authors developed the spatial-AHP concept which uses selection criteria and area attributes recorded on GIS data maps to identify and rank potential landfill areas. In recent years, there have been a number of papers published about site selection using spatial information technologies and AHP


Using traditional methods of fire station planning for services, means wasting paper and time, but today, GIS is served as a tool to create an efficient and efficient database. The selection of optimal locations for the establishment of fire stations requires identifying and analyzing various criteria and indicators. The indicators included in the research include eight physical and social parameters, each of which is related to the map placement in the GIS environment. Information layers have been created in ArcGIS environment and the results of integration of information layers have introduced the best places for creating fire stations in Bandar Abbas municipality. Therefore, in this research, AHP method was used to estimate the relative importance of each of the parameters. By analyzing and overlapping of the fuzzy layers in the GIS environment, a final map of the location of the fire stations was prepared. Fuzzy operator AND, fuzzy gamma were used to prioritize the appropriate locations of the fire station.

Results and Discussion

Thus, the qualitative and quantitative distribution of stations are examined through a scientific method. Indicators proposed in this study consist of eight physical and social parameters that are presented in a GIS environment in conjunction with each location on the map. In this study, the method of AHP was used to estimate the relative importance of each parameter. For this purpose, according to the experts, paired comparisons were made between the criteria.
Then the overall consistency of the pairwise comparison matrix was calculated. The value of consistency ratio was 0.06. After assigning weights to each criteria, fuzzy layers were formed in GIS environment and by analyzing weighted fuzzy layers, final site selection was confirmed.


The results indicated that the existing stations are located in the priority areas. Priority areas for the establishment of fire stations include parts of the eastern region of the earth, north-west as well as west and south of the studied area. Southern and northwestern parts of the existing stations are located within a radius of action, but the western and north-eastern areas are outside the station's performance. So the construction of two new stations in the mentioned areas seems totally necessary for covering the whole region.  Finally, using Google Earth and the environmental field visits, a number of suitable locations in the north-east and west are introduced as the proposed location for the construction of a new station.


1. پرهیزگار، ا. (1383). ارائه مدل و ضوابط مکان گزینی ایستگاه‌های آتش‌نشانی، جلد سوم. مرکز پژوهش‌های شهری و روستایی معاونت پژوهشی دانشگاه تربیت مدرس. تهران. سازمان شهرداری‌ها و دهیاری‌های کشور.
2. پور اسکندری، ع. (۱۳۸۰). سنجش توزیع فضایی سوانح آتش‌سوزی در شهر با استفاده از GIS، مطالعه موردی شهر کرج، تهران: پایان‌نامه کارشناسی ارشد جغرافیا و برنامه ریزی شهری، دانشگاه تربیت مدرس.
3. حسین پور کوهشاهی، ب. (1393). مکان‌گزینی ایستگاه‌های آتش‌نشانی با منطق فازی و تحلیل سلسله‌مراتبی در یک محیط مکانمند (مطالعه موردی: منطقه یک شهری بندرعباس). هرمزگان: پایان نامه کارشناسی ارشد سنجش‌ازدور و سیستم اطلاعات جغرافیایی پردیس دانشگاهی قشم، دانشگاه هرمزگان.
4. خان احمدی، م،. عربی، م،. وفائی نژاد، ع،. و رضائیان، ه. (1393). مکان یابی ایستگاه های آتش نشانی با با استفاده از تلفیق منطق Fuzzy و AHP در محیط GIS (مطالعه موردی: ناحیه 1 منطقه 10 تهران). نشریه سپهر، 23 (89)، 98-88.
5. ذاکر حقیقی افوشته، ک. (1382). مکان‌یابی ایستگاه‌های آتش‌نشانی با GIS، مطالعه موردی منطقه 6 تهران، تهران: پایان‌نامه کارشناسی ارشد شهرسازی، دانشکده هنرهای زیبا، دانشگاه تهران.
6. رهنما، م.ر،. و آفتاب، ا. (1393). مکان یابی ایستگاه های آتش نشانی شهر ارومیه با استفاده از GIS و AHP ، جغرافیا و توسعه، 12 (35)، 165-153.
7. زیاری، ی،. و یزدان پناه، س. (1390). مکان‌یابی ایستگاه‌های آتش‌نشانی با استفاده از مدل AHP در محیط GIS (مطالعه موردی: شهر آمل)، چشم‌انداز جغرافیایی (مطالعات انسانی)، 6 (14)، 87-74.
8. علی آبادی، ز،. نسترن، م،. پیرانی، ف،. و شیخ زاده، ف.‌ (1396). مکانیابی ایستگاه های آتش نشانی با استفاده از روش تلفیقی AHP و GISمطالعه موردی: منطقه 3 اصفهان، نشریه اطلاعات جغرافیایی، 26 (103)، 136-123.
9. مشکینی، ا،. حبیبی،ک. و تفکری، ا. (1389). تحلیل فضایی-مکانی تجهیزات شهری و کاربست مدل تحلیل سلسله مراتبی در محیط GIS (مطالعه موردی: ایستگاه‌های آتش‌نشانی هسته مرکزی تهران)، پژوهش‌های جغرافیای انسانی، (74)، 101-91.
10. معرب، م،. کریمی،ک،. فروغی،ن،. و نیک زاد، و. (1395). تلفیق ارزیابی چند معیاره فضایی فازی با تحلیل فرایند شبکه ای فازی برای مکان یابی پارک های شهری( مطالعه موردی: منطقه 8 شهرداری تهران).فصلنامه علوم و تکنولوژی محیط زیست، 18 (4)، 20-1 .
11. نظریان، ا،. و کریمی، ب. (1388). ارزیابی توزیع فضایی و مکان‌یابی ایستگاه‌های آتش‌نشانی شهر شیراز با استفاده از GIS، فصلنامه جغرافیایی چشم‌انداز زاگرس، 1 (2)، 19-5.
12. هادیانی، ز،. و کاظمی‌زاد، ش. (1389). مکان‌یابی ایستگاه‌های آتش‌نشانی با استفاده از روش تحلیل شبکه و مدل AHP در محیط GIS (مطالعه موردی: شهر قم)، جغرافیا و توسعه، (17)، 112-99.
13. Badri, M.A. Mortagy, A.K, & Alsayed, C. A. (1998). A multi objective model for locating fre station. European Journal of Operational Research, 110(18), 243-260.
14. Boender, C.G.E., & de Grann, J.G. Lootsma, F. (1989). Multicriteria decision analysis with fuzzy pairwise comparison. Fuzzy Sets and Systems, 29(2), 133-143.
15. Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247.
16. Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
17. Chen, C., & Ren, A. (2003). Optimization of fire station locations using computer. Journal of Tsinghua University(Science and Technology, 43,
18. Eldin, N., & Eldrandaly, K. A. (2004). Acomputer-aided system for site selection of major capital investment. International Conference E-Design in Architecture Dhahran, Saudi Arabia, Dhahran, Saudi Arabia.
19. Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of saaty’s priority theory. Fuzzy Sets and Systems, 11(1-3), 229-241.
20. Lee, M., Pham, H., & Zhang, X. (1999). A methodology for priority setting with application to software development process. European Journal of Operational Research, 118(2), 375-389.
21. Leung, L.C., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 24(1),102-113
22. Makropoulos, C. K., & Butler, D. (2006). Spatial ordered weighted averaging: Incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making. Environmental Modelling & Software, 21(1), 69-84.
23. Ngai, E. W. T., & Chan, E. W. C. (2005). Evolution of knowledge management tools using AHP. Export Systems with Application, 29(4), 889-899.
24. Yang, J., & Ping, S.)2002(. Applying Analytic Hierarchy Process in Frims Overall Per Formation Evaluation: Case Study in China. International Journal of Business, 7 (1), 29-46.
25. Yang, L., Jones, B. F., & Yang, S. H. (2007). A Fuzzy Multi-Objective Programming for Optimization of Fire Station Locations Through Genetic Algorithms. European Journal of Operational Research, 181(2), 903-915