Zoning and Priority Assessmnt of Processing Industry Development in Three Districts of Shiraz, Marvdasht and Kazerun Using Entropy-Vikor

Subject Areas : landuse

Hamed Amiri ¹ , Sharareh Pourebrahim ² , Afshin Danehkar ³

1 - M.Sc., Dept. of Environmental Science, Faculty of Natural Resources, University of Tehran, Iran.
2 - Associate Prof., Dept.of Environmental Science, Faculty of Natural Resources, University of Tehran, Iran. *(Corresponding Author)
3 - Professor., Dept. of Environmental Science, Faculty of Natural Resources, University of Tehran, Iran.

Received: 2015-05-10 Accepted : 2015-06-30 Published : 2021-11-22

Keywords: tomato process industries, suitability, Vikor, Zoning,

Abstract :

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.

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