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.
Highlights
Nowadays with increasing city population, various use developments, remarkable Autos production sparked numerous travels across the cities; it yielded many problems including traffic, time waste, environment pollutions, high fuel consumption and queue from CNG1 stations
AHP ranking traffic volume of locating variables amount to 34.3% ranked first
In TOPSIS ranking, first variable weights were taken into account using entropy techniques
Summary
Nowadays with increasing city population, various use developments, remarkable Autos production sparked numerous travels across the cities; it yielded many problems including traffic, time waste, environment pollutions, high fuel consumption and queue from CNG1 stations. With regard to Fuel stations should offer as much service as possible with the lowest fuel supply centers. On the other hand appropriate sites for the construction of fuel centers are identified as a result of the importance level of fuel supply stations, quality and quantity of distribution in shaping the traffic behavior. As a result many stations are not as efficient as they should be because distance of station sites are not in line with appropriate use . in this study, CNG station positioning by multi index decision approaches an Arc Map, tried to offer maximum service to the customers
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
