Paper Information

Journal:   URBAN MANAGEMENT   SPRING 2016 , Volume 15 , Number 42; Page(s) 141 To 148.
 
Paper: 

OPTIMIZATION LOCATION OF CLASS PARKING, CASE STUDY: TEHRAN, IRAN

 
 
Author(s):  PEZHVAK FAZLOLLAH*
 
* UNIVERSITY OF SHIRAZ, SHIRAZ, IRAN
 
Abstract: 

Proper siting of a public parking garage increasing efficiency and thus reducing the marginal park and indirectly increase the width of the streets and traffic is mental. At present, the location of public parking with traditional and is performed site visits. In this method, taking into account all factors affecting the location of public parking not possible with regard to the selected sites only a limited number of parameters such as the “land price” is performed. This would take away parking absorbent centers Travel and parking in the busy streets and increase traffic to the street. “Geographical Information Systems” (GIS) that science and technology are analyzing spatial data, in order to find the optimum system for the construction of public parking places are considered. The use of GIS in the field of land and increase the accuracy of the work is to reduce the number of hits. In this paper, weighting and combining information from different methods of allocating points such as weight, AHP nine degree and Fuzzy AHP and fuzzy index overlay method and a method using a combination of these methods were compared and the results were presented, and finally the appropriate methods. This article discusses how public parking location using GIS to consider all parameters affecting the positioning simultaneously offers. In this paper, factors affecting the location of public parking from three perspectives, 1. Near the parking lot to the Centers for Trip Attraction, 2. Factors Traffic and 3. The problem, especially in inner-city dumping ground “has been studied and given the location of these views, the conceptual model parking is provided. Below is the perfect place to build parking for the region’s seven municipalities in Tehran.

 
Keyword(s): GIS, MULTI-CRITERIA DECISION MAKING, AHP FUZZY, OVERLAPPING INDEX, PUBLIC PARKING LOCATION
 
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