|تعداد مشاهده مقاله||106,251,708|
|تعداد دریافت فایل اصل مقاله||83,150,610|
Strategic Planning, Based on Environmental Spatial Assessment, Using SWOT and GIS to Locate Sustainable Industrial Areas (Case Study: Tehran Province)
|مقاله 10، دوره 5، شماره 3، مهر 2019، صفحه 569-583 اصل مقاله (1.29 M)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.22059/poll.2018.260564.464|
|H. Hoveidi* ؛ S. Nasehi؛ Namin Imanpour؛ A. Nohegar|
|School of Environment, college of Engineering, University of Tehran, P. O. Box 14155-6135, Tehran, Iran|
|Unbalanced distribution of population in a country like Iran as well as accelerating urbanization and environmental degradation, both arising from incorrect location of industrial areas, are two problems that require appropriate industrial development policies to get resolved. Considering the expansion of industrial areas along with their role in contamination of the environment, it is necessary to develop strategies to improve environmental performance. The purpose of this study is to provide strategies for establishment of industrial areas, based on environmental spatial assessment, using SWOT technique and GIS. In this method, once the spatial data are mapped and analyzed with GIS software, leading to determination of effective factors for location of industrial areas and their, the maps of such effective factors can be prepared. After weighing effective layers on location, based on the AHP model, the GIS software capabilities have been used to merge and overlap the maps and the industrial areas location map are prepared. The map has been classified in five classes (very poor, poor, moderate, good, and very good) and finally, based on the final map and SWOT analysis, optimal strategies have been developed to reduce environmental degradations. The location analysis with integrated GIS and SWOT method is effective for providing optimal strategies. More accurate results of this study show that the study area is located in "defensive" position and the authorized areas to locate the industrial areas in the "very good" class are over 240,191.9 hectares large, being mostly in the south and southwest of Tehran.|
|Site selection؛ Industrial area؛ Fuzzy؛ Strategic Planning؛ MCDM|
Ahmadizadeh, S.S.R., Hajizadeh, F. and Ziaei, M. (2012). Application and Comparative Study of analytic hierarchy process and Fuzzy Analysis in Land Suitability; Case Study: Birjand Industrial areas, J. Geogr. Reg. Develop, 10 (18).
Bonham-Carter, G. (1991). Geographic Information Systems for Geoscientists: Modelling with GIS. (Pergamon Ontario)
Chiu, A. S. F. and Yong, G. (2004). On the industrial ecology potential in Asian Developing Countries. J. Clean. Prod, 12(8-10); 1037-1045.
Eastman, J. R., Jin, W., Kyem, P. A. K. and Toledano, J. (1993). GIS and Decision Making (book). Geneva, UNITAR exploration in geographic information system technology, Vol 4. Clark University.
Fataei, E. (2013). Feasibility study of border industrial estates using AHP and TOPSIS (case study: Ardabil province). J. Geogr. Develop, 12(37); 181-193.
Fernández, I. and Ruiz, M. C. (2009). Descriptive model and evaluation system to locate sustainable industrial areas. J. Clean. Prod, 17(1); 87-100.
Giorgio, G. A., Ragosta, M., and Telesca, V. (2017). Climate variability and industrial-suburban heat environment in a Mediterranean area. Sustainability, 9(5); 775.
Hadipour, M. and Kishani, M. (2014). Environmental Location Planning of Industrial Zones Using AHP and GIS in Arak City. Global illuminators, 1; 109-114.
Hashemian, F., Samadi khadem, S., Hamidi, A. and Amadi masoud, N. (2013). Evaluation of Ecological Capacity of Ardebil City for Industrial Development by Spatial Multi Criteria Evaluation Method, 1th International conferences of landscape ecology, Isfahan, Isfahan university of technology.
Kahraman, C., Demirel, N. C., Demirel, T. and Ates, N. Y. (2008). SWOT-AHP application using fuzzy concept: E-Government in Turkey, Fuzzy Multi-Criteria Decision Making Book-Edited by Cengiz Kahraman, Springer, Boston, MA ;85-117.
Kangas, J., Kurttila, M., Kajanus, M. and Kangas, A. (2003). Evaluating the management strategies of a forestland estate-the SO-S approach, J. Environ. Manage, 69(4); 349-358.
Kangas, J., Pesonen, M., Kurttila, M. and Kajanus, M. (2001). A'WOT: Integrating the AHP with SWOT Analysis, 6th ISAHP 2001 Proceedings, Berne, Switzerland; 189-198.
Kajanus, M., Kangas, J. and Kurttila, M. (2004). The use of value focused thinking and the A WOT hybrid method in tourism management. J. Tourism. Manage, 25(4); 499-506
Kurttila, M., Pesonen, J., Kangas, M. and Kajanus, M. (2000). Utilizing the analytic hierarchy process (AHP) in SWOT analysis, A hybrid method and its application to a forest-certification case, J. Forest. Policy. Econ, 1(1); 41-52.
Korhonen, J. and Snäkin, J. P. (2005). Analysing the evolution of industrial ecosystems: concepts and application. J. Ecol. Econ, 52(2); 169-186.
Lee, A. H., Lin, C. Y., Kang, H. Y. and Lee, W. H. (2012).An integrated performance evaluation model for the photo voltaics industry. J. Energies, 5(4); 1271-1291.
Leitham, S., McQuaid, R. W. and Nelson, J. D. (2000). The influence of transport on industrial location choice: a stated preference experiment. Transportation Research Part A: Policy and Practice, 34(7); 515-535.
Li, H. B., Li, Q. J. Zhang, J. Huang, S. G. Yu, Y., Zheng., Cheng, J. C. and Wang, C. C. (2016). Internal and external relaxations in ZnNb2O6 ceramics. J. Eur. Ceram. Soc, 36(10); 2513-2518.
Malczewski, J. (2006). Ordered weighted averaging with fuzzy quantifiers: GIS-based multi criteria evaluation for land-use suitability analysis. Int. J. Appl. Earth. Obs. Geoinf 8; 270-277.
Mirata, M. and Emtairah, T. (2005). Industrial symbiosis networks and the contribution to environmental innovation: the case of the Landskrona industrial symbiosis programme. J. Clean. Prod, 13(10-11); 993-1002.
Mosadeghi, R., Warnken, J., Tomlinson, R. and Mirfenderesk, H. (2015). Comparison of Fuzzy AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning. J. Comput. Environ. Urban. Syst, 49; 54-65.
Naseri, F. (2012). Locating Industrial area in Marivan City Using Geographic Information System (GIS). Faculty of Geographical Sciences, Kharazmi University.
Nasrollahi, Z., and Ghahfarokhi salehi, F. (2012). Criteria of Eco-Industrial Park Location and their Prioritization with Using Fuzzy AHP and Triangular Fuzzy Number. Quarterly J. Res. Econ. Growth. Develop, 2(7); 66-51.
Rachdawong, P., and Apawootichai, S. (2003). Development of criterion weights for preliminary site selection: A pilot project of Supanburi industrial estate. Development, 25(6); 774.
Ruiz, M. C., Romero, E., Pérez, M. A. & Fernández, I. (2012). Development and application of a multi-criteria spatial decision support system for planning sustainable industrial areas in Northern Spain. J. Automat. Constr, 22; 320-333.
Shad, R., Ebadi, H., Mesgari, M. and Vafaeinezhad, A. (2009). Design and implementation of an applied GIS for industrial estates site selection using Fuzzy, weight of evidence and genetic methods. J. college of engineering, university of Tehran, 43(4); 417-429.
Sobhan ardakani, S., Mohaghegh, S. S. and Monavari, S. M. (2013). Environmental Valuation of Industrial Estates Location (Case Study: Kohgilouyeh & Boyerahmad Province). Int. J. Agric. Crop. Sci, 5(18); 2147.
Yamamoto, K. (2008). Location of industry, market size and imperfect international capital mobility. J. Reg. Sci. Urban Econ, 38(5); 518-532.
Yasouri, M. (2013). The Survey of the Status of Industries location and Industrial Estates in the Mashhad County. Town and Country Planning, 5(2); 288-261.
Yuksel, I. and Dagdeviren, M. (2007). using the analytic network process (ANP) in a SWOT analysis A case study for a textile firm. J. Inform. Sci, 177; 3364-3382.
Yavari, A., Sotoudeh, A and Parivar, P. (2007). Urban environmental quality and landscape structure in arid mountain environment, Int. J. Environ. Res., 1(4); 325-340.
Wang, G., Qin, L., Li, G. and Chen, L. (2009) Landfill site selection using spatial information technologies and AHP: a case study in Beijing, China. J. Environ. Manage,90(8); 2414-2421.
Ziaei, M., Hajizadeh, F., Ahmadizadeh, S. S. R., and Jahanifar, K. (2012). A Combined Model of GIS and Fuzzy Multi Criteria Decision Analysis (FMCDA) for Suitable Evaluation/Selection of Industrial Areas, (Birjand, Iran). in Recent Researches in Environmental Science and Landscaping; 174–180.
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