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     Research Journal of Applied Sciences, Engineering and Technology


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
Department of Transportation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  12:3262-3272
http://dx.doi.org/10.19026/rjaset.5.4566  |  © The Author(s) 2013
Received: January 21, 2011  |  Accepted: February 22, 2012  |  Published: April 10, 2013

Abstract

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, accesses. 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 determined 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.

Keywords:

Analytic hierarchy process, CNG station, geographical information system, Rasht city, TOPSIS,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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