Abstract
The sustainable development denotes the balanced status among various dimensions of development that aims to improve conditions of quality of life for the human. Urban sustainable development is deemed as the ideal objective for the planners and urban development directors in order to exploit suitably from the resources and to establish balanced relationship among human and community and nature. The present research mainly aims to extract and measure parameters of urban sustainable development in 4 regions in Aleshtar city (Lorestan Province- Iran). This study is an applied research in terms of goal and descriptive- analytical type in terms of methodology and based on librarian and field studies. The selected parameters were collected at two phases by study on backgrounds (research projects, statistical newsletters and books) and employing votes and comments from experts (using Delphi technique and extraction from comments of academic theorists and directors of relevant organizations) and they were merged together using Delphi technique. Parameters were weighted and analyzed by means of two models (TOPSIS and AHP-Fuzzy) after extraction and they were interpolated by GIS software and using Semivariogram tool. The research findings show that Region-3 has the highest rank (weight value= 0.627). After this region, Regions 2, 4 and 1 have devoted subsequent preferences with weighted values of 0.602, 0.578 and 0.541, respectively. Some strategies are suggested in order to moderate parameters of urban sustainability throughout regions of Aleshtar city including rising awareness of city dwellers about urban sustainable development plans, making the inhabitants familiar with parameters of a suitable city and creation and developing of a dynamic transportation system and establishing healthy housing in Regions 1, 2 and 4, increasing area of green space, establishing healthcare administration in Aleshtar Municipality and creating healthcare- medical institutes and centers etc.
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More From: International Journal of Nonlinear Analysis and Applications
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