Volume 6, Issue 21 (Winter 2018)                   IUESA 2018, 6(21): 111-127 | Back to browse issues page

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1- Faculty of Management & Accounting, Allameh Tabataba'i University, Tehran, Iran , saeid.sadeghi@atu.ac.ir
2- Faculty of Management and Accounting, Pardise Farabi University of Tehran, Qom, Iran
3- Faculty of Administrative Sciences and Economy,Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
Abstract:   (2601 Views)
Population growth and urbanization, increase in number of private vehicles, low-width’s streets and lack of marginal parking spaces, especially in central parts of cities, have brought numerous problems for big and populated cities. Locating mechanized parking lots, which with occupying less area have a high parking capacity, is of the necessities of urban and traffic planning in large cities. The present study aims to identify, to weight and to prioritize effective criteria in locating of mechanized parking with sustainable development approach, and ultimately to prioritize potential sites for the construction of mechanized parking lots in central part of Qom. Therefore, first with regard to principles and components of sustainable development and applicable planning of urban land and transport and traffic planning and also with regard to characteristics of Qom city, three criteria and 16 sub criteria to locate mechanized parking lots have been chosen. The method used in this research for weighting and prioritization of locating criteria and sub criteria is Analytic Network Process (ANP) and fuzzy PROMETHEE. Therefore, after gathering the required data from the paired comparison questionnaire and calculate the total weight of the criteria, priority was given as followed: “environmental” criterion with weight of 0.429 in top priority, “economic” criterion with weight of 0.347 in second priority and “social” criteria with weight of 0.251 was located in third priority. Moreover, the result of ranking potential sites to construct mechanized parking using fuzzy PROMETHEE were identifies as follow: location in Keivanfar street is the first place, location in Sedaqhat alley in the second place and location in ice making factory in the fourth place.
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Type of Study: Research | Subject: Special
Received: 2017/06/28 | Accepted: 2017/10/6 | Published: 2018/02/28