پهنه بندی آمایشی و اولویت بندی توسعه صنایع تبدیلی گوجه فرنگی در سه شهرستان شیراز، مرودشت و کازرون با استفاده مدل تلفیقی ENTROPY-VIKOR
محورهای موضوعی :
آمایش سرزمین
حامد امیری
1
,
شراره پورابراهیم
2
,
افشین دانه کار
3
1 - کارشناسی ارشد محیط‌زیست، گروه محیط زیست دانشکده منابع طبیعی دانشگاه تهران، تهران.
2 - استادیارگروه محیط زیست، پردیس کشاورزی و منابع طبیعی دانشگاه تهران
3 - استاد گروه محیط زیست دانشکده منابع طبیعی، دانشگاه تهران، تهران.
تاریخ دریافت : 1394/02/20
تاریخ پذیرش : 1394/04/09
تاریخ انتشار : 1400/09/01
کلید واژه:
پهنه بندی,
مکان یابی,
Vikor,
صنایع تبدیلی گوجه فرنگی,
چکیده مقاله :
زمینه و هدف: با توجه به تولید زیاد محصول گوجه فرنگی در سه شهرستان شیراز، مرودشت و کازرون، توسعه صنایع تبدیلی موجب جلوگیری از پرت و ضایع شدن و تعادل بازار می شود. مکان یابی مناسب توسعه صنایع تبدیلی موجب استقرار مطابق توان اکولوژیک می شود.
روش بررسی: جهت ارزیابی توان اکولوژیکی توسعه صنعتی، مدل ویژه ارزیابی توان اکولوژیک تهیه شد. پس از جمع آوری معیارهای اقتصادی و اجتماعی و وزن دهی معیارها با استفاده از روش تصمیم گیری ENTROPY و اولویت بندی و رتبه بندی شهرستانها با VIKOR صورت گرفت. سپس با روی هم گذاری پهنه های مناسب اقتصادی، اجتماعی و مناطق دارای توان اکولوژیک توسعه صنعتی، اولویت بندی نهایی پهنه ها انجام شد.
یافته ها: شهرستان مرودشت و شیراز در اولویت اول و دوم توسعه صنایع تبدیلی گوجه فرنگی می باشند. در اولویت بندی بین بخش ها نیز بخش زرقان و بخش سیدان و بخش مرکزی شهرستان مرودشت در اولویت توسعه صنایع تبدیلی می باشند. هم چنین نتایج نشان داد شهرستان کازرون فاقد توان توسعه صنایع تبدیلی گوجه فرنگی می باشد.
بحث و نتیجه گیری: وزن دهی آنتروپی نشان داد که از بین پارامترهای اقتصادی و اجتماعی، همجواری صنایع از بیشترین اهمیت برخوردار است. همچنین نتایج نشان دهنده کارایی مدل های تصمیم گیری چند معیاره در ارزیابی شاخصهای اقتصادی و اجتماعی در کنار ارزیابی توان اکولوژیکی است. استفاده از مدل‌های ویژه متناسب با شرایط هر منطقه که به ارزیابی توان اکولوژیک در کنار ویژگیهای اقتصادی و اجتماعی بپردازد، می‌تواند خطرهای مدیریت و تصمیم‌گیری‌های بلند مدت را کاهش دهد.
چکیده انگلیسی:
Background and Objective: Due to the high productivity of tomato in three districts of Shiraz, Marvdasht and Kazeroun, the development of processing industries is necessary to prevent waste and market balance. Suitability analysis for processing industries leads to establishment based on ecological criteria.
Material and Methodology: To evaluate the ecological capabilityfor sustainable development a special model for assessing ecological capabilities was prepared. After collecting economic and social criteria and weighting the criteria using ENTROPY, prioritization and ranking of cities was done with VIKOR. Then, by overlapping the appropriate economic, social and ecological suitable areas for industrial development, the final suitable was identified.
Findings: Marvdasht and Shiraz are in the first and second priority of the development of tomato processing industries. In prioritizing between sectors, Zarghan and Seydan districts and the central part of Marvdasht city are in the priority of developing processing industries. The results showed that is Kazeroon district doesn’t have overall capabilities for development of tomato processing industries.
Discussion and Conclusion: Entropy weighting showed that among economic and social parameters, industrial proximity is the most important. The results show the efficiency of multi-criteria decision models in evaluating economic and social indicators along with evaluating ecological capabilites. The use of specific models suitable for each region that assess ecological capability along with economic and social characteristics can reduce the risks of long-term management and decision-making.
منابع و مأخذ:
Bhuttacharya, 1980, Rural Industrialization in In India, BR publishing corporation Dehli.
Slee, R.W., 1991, Farm diversification and on-form processing. Scottish Agric. Econ. Per. 6,39-49.
Marjit, Sugata, 1991, Agro-hased industry and rural-urban migration: Acase for an urban employment subsidiy, published bu Elseveir scince, journal of development Economic, 35.2.
Dengiz, O. & Sarıoğlu, F. E., 2013, Parametric approach with linear combination technique in land evaluation studies. Tarim Bilim. Derg. 19, 101–112.
Norie, H. A., Amini, A. and Suleimani, N., 2012. Optimal location of date processing and supplementary industries in Kazeroun. Journal of Spatial Planning, 2(3), 23-34. (Persian)
Khajeh Shokouhi, A., Jesam, Cheraghy, M. and Asshur, H., 2013, Locating and prioritizing the establishment of agricultural supplementary industries in Golestan province. Quarterly Journal of Rural Space and Rural Development, 60 (4), 25-41. (Persian)
Opricovic, S., & Tzeng, G., 2004, Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research, 156, 445–455.
Opricovic, S., & Tzeng, G. ,2007, Extended VIKOR method in comparison with outranking methods, European Journal of Operational Research, 178, 514–529.
Kaya, T.,Kahraman, C. , 2011, Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach, Expert Systems with Applications, 38, 7326–7333.
Hsu, C. W., Hu, A. H., 2009, Applying Hazardous Substance Management to Supplier Selection Using Analytic Network Process. Journal of Cleaner Production; 17, 255–264
Zahery M., Aghayari Hir, M. and Zakeri Miab, K., 2015, Prioritization of agricultural processing and supplementary industries in Azarshahr City by Delphi and Topsis Combined Techniques. Geography and Planning, 19 (51), 221-246. (In Persian)
Chang, N.B., Davila, E., 2006, Siting and Routing Assessment for Solid Waste Management Under Uncertainty Using the Grey mini-max Regret Criterion. Environmental Management, 38(4), 654-72.
Wey, W.M., 2011, A Study of the Built Environment Design Elements Embedded into the Multiple Criteria Strategic Planning Model for an Urban Renewal World Academy of Science. Engineering and Technology; 76: 59-69
Army Corps of Engineering, 2005, unified facilities criteria (UFC), Design: piers and wharves.
Tran L. T., Gregory Knight, C., Oneill, R.V., Smith, E. R., 2004. Integrated Environmental Assessment of The Zidatlantic Region with Analytical Network Process. Environmental Monitoring and Assessment, 94: 263–277.
Makhdoom, 1992, Fundamental of Land Use Planning, Tehran University, Tehran. (In Persian)
Chang, C-L., Hsu, C-H., 2009, Multi-criteria analysis via the VIKOR method for prioritizing land-use restraint strategies in the Tseng-Wen reservoir watershed. Journal of Environmental Management, 90: 3226–3230.
Hejazi M., Amiri M., Mazloomi N., 2011, Applying balance scorecard and VIKOR in ranking of insurance companies, Iranian Journal of Insurance Research, 26, 2.
Makhdom, M., 2009, Models which are Never to be Modelled, or Models with Irrational Prediction. Environmental sciences, 6 (3) , 185-192. (In Persian)
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Bhuttacharya, 1980, Rural Industrialization in In India, BR publishing corporation Dehli.
Slee, R.W., 1991, Farm diversification and on-form processing. Scottish Agric. Econ. Per. 6,39-49.
Marjit, Sugata, 1991, Agro-hased industry and rural-urban migration: Acase for an urban employment subsidiy, published bu Elseveir scince, journal of development Economic, 35.2.
Dengiz, O. & Sarıoğlu, F. E., 2013, Parametric approach with linear combination technique in land evaluation studies. Tarim Bilim. Derg. 19, 101–112.
Norie, H. A., Amini, A. and Suleimani, N., 2012. Optimal location of date processing and supplementary industries in Kazeroun. Journal of Spatial Planning, 2(3), 23-34. (Persian)
Khajeh Shokouhi, A., Jesam, Cheraghy, M. and Asshur, H., 2013, Locating and prioritizing the establishment of agricultural supplementary industries in Golestan province. Quarterly Journal of Rural Space and Rural Development, 60 (4), 25-41. (Persian)
Opricovic, S., & Tzeng, G., 2004, Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research, 156, 445–455.
Opricovic, S., & Tzeng, G. ,2007, Extended VIKOR method in comparison with outranking methods, European Journal of Operational Research, 178, 514–529.
Kaya, T.,Kahraman, C. , 2011, Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach, Expert Systems with Applications, 38, 7326–7333.
Hsu, C. W., Hu, A. H., 2009, Applying Hazardous Substance Management to Supplier Selection Using Analytic Network Process. Journal of Cleaner Production; 17, 255–264
Zahery M., Aghayari Hir, M. and Zakeri Miab, K., 2015, Prioritization of agricultural processing and supplementary industries in Azarshahr City by Delphi and Topsis Combined Techniques. Geography and Planning, 19 (51), 221-246. (In Persian)
Chang, N.B., Davila, E., 2006, Siting and Routing Assessment for Solid Waste Management Under Uncertainty Using the Grey mini-max Regret Criterion. Environmental Management, 38(4), 654-72.
Wey, W.M., 2011, A Study of the Built Environment Design Elements Embedded into the Multiple Criteria Strategic Planning Model for an Urban Renewal World Academy of Science. Engineering and Technology; 76: 59-69
Army Corps of Engineering, 2005, unified facilities criteria (UFC), Design: piers and wharves.
Tran L. T., Gregory Knight, C., Oneill, R.V., Smith, E. R., 2004. Integrated Environmental Assessment of The Zidatlantic Region with Analytical Network Process. Environmental Monitoring and Assessment, 94: 263–277.
Makhdoom, 1992, Fundamental of Land Use Planning, Tehran University, Tehran. (In Persian)
Chang, C-L., Hsu, C-H., 2009, Multi-criteria analysis via the VIKOR method for prioritizing land-use restraint strategies in the Tseng-Wen reservoir watershed. Journal of Environmental Management, 90: 3226–3230.
Hejazi M., Amiri M., Mazloomi N., 2011, Applying balance scorecard and VIKOR in ranking of insurance companies, Iranian Journal of Insurance Research, 26, 2.
Makhdom, M., 2009, Models which are Never to be Modelled, or Models with Irrational Prediction. Environmental sciences, 6 (3) , 185-192. (In Persian)
