Spatial-physical structure management of in-city structures, by AHP method and fuzzy logic (Case study: region17 of Tehran)
Subject Areas :Nemat Hosseinzadeh 1 , Faraz Estelaji 2 , Elham Amini 3
1 -
2 - K.N. Toosi University of Technology
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Keywords: Pump Station, Location, Geographic Information System (GIS), MCDM, Fuzzy AHP, Tehran Region17,
Abstract :
Due to the central role of the city, Tehran has been associated with increasing population and density, and consequently in providing services and facilities in various fields, due to lack of and, in some cases, due to the lack of appropriate geographical distribution of applications, there are shortcomings Is. The fuel filling stations network is one of the components of the municipal services network that acts as a fuel supplier to the intercity transportation sector, which is important in terms of traffic considerations, urbanization, safety and the environment. One of the most important factors surrounding fuel supply stations (petrol stations) is their proper location. Multi-criteria decision-making models (MCDMs) are now becoming an expanding tool for addressing complex spatial decision-making problems. There are several methods in making multi-criteria decisions. Studies and evidence show that multi-criteria decision-making methods, especially the combined methods between them, provide accurate results for spatial decision-making. Due to the high population density and the density of internal and external passage overnight and the passage to the adjacent areas, Tehran's region 17 shows the need for fuel efficiency and optimal location. Therefore, the purpose of this study was to determine the appropriate location of pump-gas stations in the 17th district of Tehran and to investigate the position of the existing sites in this area, using the GIS and utilizing the fuzzy AHP combined method. Not. The research method has descriptive-analytical and applied nature in this evaluation. In order to achieve these goals, suitable criteria, consistent with the studied area and different methods have been used. Finally, by using paired comparisons and experts' opinion and calculations by the fuzzy AHP method, the final weight of the criteria has been determined. The results of the integration of information layers in ARCGIS software, while identifying suitable locations for building new stations, have analyzed the location of gas station positions, which shows that each of the 2 existing locations in the 17th district of Tehran in an appropriate and optimal position they are not.
1. بهرامی، محبوبه، ولی¬پوری، معصوم، رحیم آبادی، ابوالفضل و امید کریمی(1392)، مکان¬یابی پمپ¬بنزین¬هاي شهر بروجرد با استفاده از سیستم اطلاعات جغرافیایی(GIS)، فصل¬نامه جغرافیا و برنامه¬ریزي شهري چشم¬انداز زاگرس، سال ششم،شماره 20، تابستان 1393#
2. طالبی، ر. (1389)، مکان¬گزینی بهینة پارکین¬گهای طبقاتی شهر تهران، مطالعة موردی: منطقة هفت شهرداری تهران، مجلة مدیریت شهری، 8(26)، 119-131#
3. عزیزي، منصور(1384)، کاربرد سیستم¬هاي اطلاعات جغرافیایی درمکان¬یابی، توزیع فضایی و تحلیل شبکه مراکز بهداشتی ودرمانی، پایان نامه کارشناسی ارشد#
4. آرنوف، استان( 1375)، سیستم¬هاي اطلاعات جغرافیایی، انتشارات سازمان نقشه برداري کشور#
5. پی اي، بارو( 1376)، سیستم اطلاعات جغرافیایی، ترجمه حسن طاهرکیا، انتشارات سمت#
6. سرور، رحیم( 1383)،استفاده از روش AHP در مکان¬یابی جغرافیایی شهر میاندوآب، پژوهش¬هاي جغرافیایی، شماره 49#
7. حیات روحی، سعید (1380)، توسعه و تجهیز مدارس کشور، سومین همایش علمی و تخصصی سازمان نوسازي#
8. واحد آمار و اطلاعات شهرداری منطقه17 تهران#
9. مرادی، یعقوب و نظری، نرگس و بسحاق، محمد رضا و رحیمی،حمزه، تحلیل فضایی و مکانی جایگاه های پمپ بنزین و تعیین مکان بهینه احداث جایگاه های جدید با استفاده از GIS و MCDM (مطالعه موردی:منطقه 6 شهر تهران)، مقاله علمی پژوهشی، مجله جغرافیا و توسعه فضای شهری، سال سوم، شماره 1 ، بهار و تابستان 1395#
10. امامی، ح. (1386)، بررسی و مکانیابی مراکز اسناد رسمی با استفاده از GIS و مدل AHP (پایاننامة کارشناسی ارشد) دانشگاه آزاد اسلامی واحد سمنان، سمنان#
11. پورمحمدی، م. (1387)، برنامه ریزی کاربری اراضی شهر ، تهران: سمت#
12. رضویان، م. (1381)، برنامه¬ریزی کاربری اراضی شهر ، تهران: منشی#
13. اصغرپور، محمدجواد، تصمیم¬گیری¬های چند معیاره، انتشارات دانشگاه تهران، 1377#
14. حبیبی، آرش؛ ایزدیار، صدیقه و سرافرازی، اعظم(1393)، تصمیم¬گیری چندمعیاره فازی، رشت، کتیبه گیل#
15. Viana, M. (2004). Intelligent transportation systems and parking management: Implementation potential in a Brazilian city. Journal of Cities, 21(2), 137- 148#
16. Abdi, A., Jahanshiri, H., Alavi, M. (2012), built CNG Fuel Stations Using Geographic Information System GIS and multi-criteria evaluation method of AHP Case Study: Rasht, Ninth International, Congress on Civil Engineering, Isfahan University of Technology#
17. Zolnik, E., Minde J. B., Das Gupta, D., & Turner, S. (2010). Supporting planning to co-locate public facilities: A case study from Loudoun County, Virginia. Journal of Applied Geography, 30(4), 687 –696.
18. Shirani, H. (2011), Organize location, Tehran: Publication knowledge creating.
19. Behbahani, H., Eghbali, M., Fakehi, A.H. (2007), Model in order to locate optimal sites for construction of fueling stations in Tehran, 7th Transportation and Traffic Engineering Conference of Iran, Tehran.
20. Ultz, S.D. (2001), the use of census data for hedonic price estimate open-space amenities and land use. J. Real Estate Finance Econ. 22 (2–3),239-252.17
21. Aslani, M., & Alesheikh, A. (2011). Site selection of small gas stations using GIS. Journal of Scientific Research and Essays, 6(5), 3161-3171.
22. Rida, A., Diabat. A., & Shatnawi, G. (2010). Combining GIS with multicriteria decision making for sitting water harvesting ponds in Northern Jordan. Journal of Arid Environments, 74, 1471-1477.
23. Phua, M. H., & Minowa, M. (2005). A GIS-based multi-criteria decision making approach to forest conservation planning at a landscape scale: A case study in the Kinabalu Area, Sabah, Malaysia. Journal of Landscape and Urban Planning, 71, 207–222.
24. Chang, N., & Breeden, P. (2008). Combining GIS with Fuzzy Multicriterial Decision-Making for landfill siting in an urban region. Journal of Environmental Management, 87(1), 139-153.
25. Malczewski, J. 1999. GIS and Multicriteria Decision Analysis. Wiley, New York, NY, 392 pp.
26. Malczewski, J. 2006a. GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science 20 (7), 703–726.
27. Saaty, T.L. (1980), the Analytical Hierarchy Process, Planning Priority, Resource Allocation, TWS Publications, USA.