Title of article
Strategic Planning, Based on Environmental Spatial Assessment, Using SWOT and GIS to Locate Sustainable Industrial Areas (Case Study: Tehran Province)
Author/Authors
Hoveidi ، H. - University of Tehran , Nasehi ، S. - University of Tehran , Imanpour ، Namin - University of Tehran , Nohegar ، A. - University of Tehran
Pages
15
From page
569
To page
583
Abstract
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 quot;defensive quot; position and the authorized areas to locate the industrial areas in the quot;very good quot; class are over 240,191.9 hectares large, being mostly in the south and southwest of Tehran.
Keywords
site selection , Industrial area , Fuzzy , Strategic Planning , MCDM
Journal title
Pollution
Serial Year
2019
Journal title
Pollution
Record number
2453712
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