Strategic planning of Piranshahr City

Subject Areas : Urban and Regional Planning Studies

leili ebrahimi ¹ , Mohammad Rahim ² , Ezzatolah Mafi ³

1 - Ferdowsi University of Mashhad
2 - Professor of Geography Department, Ferdowsi University of Mashhad
3 - Associate Professor of Geography Department, Faculty of Letters and Humanities, Ferdowsi University of Mashhad

Received: 2017-09-13 Accepted : 2020-03-16 Published : 2020-06-21

Keywords: Strategic Planning, SWOT model, Multiple-Criteria Decision Making, Kohonen Neural Network, Piranshahr,

Abstract :

Awareness of the strengths and weaknesses of cities is essential for present plans, policies and plans of the city. In fact, the use of economic, social, physical, etc. indicators can be a suitable Criterion for determining the status of cities, and fields of solving the problems and failures are created to achieve the desired and actual development. Accordingly, the purpose of this paper is to determine the position of Piranshahr city in terms of strategic planning indices and prioritizing the city development strategies. The research is descriptive and analytical. The sample population in this study consisted of three groups: urban managers, urban elites and citizens the sample size was identified 382 people for the citizens group according to the Cochran formula. In the group of managers 50 people and in the elite group 50 were selected as samples. Positioning of city was by using SWOT model and Prioritization of city developing strategies was performed by the SWOT model and prioritizing the city development strategies using a combination of Multi Criteria Decision-Making method and Kohonen neural network in MATLAB and EXCEL softwares. The results showed that the city of Piranshahr is in a competitive position strategically. Also the output of Kohonen neural network identified strategy of developing of foreign exchanges and strengthening of Tamarchin boundry market in order to shaping a sustainable economy based on internal - foreign trade as the best city development strategy.

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