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2013 (Vol. 5, Issue: 12)
Article Information:

Allocation of CNG Stations in Urban Street Networks Based on GIS Approach and Prioritization with AHP and Topsis Methods (Case Study: Rasht City)

Ali Abdi, Mir Pouya Naseri Alavi and Hossein Mobasheri
Corresponding Author:  Mir Pouya Naseri Alavi 

Key words:  Analytic hierarchy process, CNG station, geographical information system, Rasht city, TOPSIS, ,
Vol. 5 , (12): 3262-3272
Submitted Accepted Published
January 21, 2011 February 22, 2012 April 10, 2013

Today’s finding a proper location of transport services widely contributes to the organization of city street networks. Fuel refueling station networks include urban services acted as urban transport supply and it accounts in terms of traffic considerations, urbanization, security and environment. In this study, with respect to CNG refuel stations and criteria for proposed guidelines some variables are the following: Land¬ uses, Traffic networks, population, traffic volume, infrastructure facilities, acces¬ses. Then using a Arc Map software, resources map and limiting factors to Rasht city have been overlapped and locations have been proposed. In the next stage questionnaires have been arranged in the form of pair comparisons and bipolar scales besides variables were given relative weights by experts. Afterwards, for choosing the best place, an approach called AHP in the form of Expert Choice to determine the ultimate weight of variables and spaces. Traffic volume with 34.3% and infrastructure facilities 33.4% ranked first and second respectively. Place No.8 ranked first with 19.2%. Besides to grade, criterions are scored in the form of TOPSIS using bipolar their weight determine¬d by entropy. The most weight is with the infrastructure facilities variables at the rate of 30.9%. Then proposed places have been ranked. Place No.7 ranked first with 0.766. In the end priority order are compared and AHP is selected for ranking.
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  Cite this Reference:
Ali Abdi, Mir Pouya Naseri Alavi and Hossein Mobasheri, 2013. Allocation of CNG Stations in Urban Street Networks Based on GIS Approach and Prioritization with AHP and Topsis Methods (Case Study: Rasht City).  Research Journal of Applied Sciences, Engineering and Technology, 5(12): 3262-3272.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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