Analysis of the Service Area of Tehran Subway Stations and the Allocation of new Stations using the ANP Method

Subject Areas :

Ebrahim Nejat ¹ , Mohammad Hassan Vahidnia ² , Hossein Aghamohammadi ³

1 - Department of Remote Sensing and GIS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University
2 - Department of Remote Sensing and GIS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University
3 - Department of Remote Sensing and GIS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University

Received: 2022-08-10 Accepted : 2022-08-22 Published : 2022-02-20

Keywords: Geographic Information System, Site Selection, Network Analysis, Subway station, Multicriteria Decision Analysis,

Abstract :

The rapid growth of population and urbanization in recent decades has created many problems in human daily life. One of the important issues in this connection is urban transportation, especially public transportation, and it is of great interest today. Studying the effective factors and evaluating the location of subway stations is one of the important and necessary issues in the urban context. The importance and prestige of any city depends on its city services. The more these services and facilities are at an ideal level, the more comfortable the conditions are for the citizens' lives and the more the satisfaction of the citizens, which is one of the most important urban services of public transportation, especially the urban subway. Accordingly, the scientific goal of this research is to use GIS analysis to identify service areas and use multi-criteria decision models to locate new stations. This research has been carried out through several steps, including identifying variables, preparing standard criteria maps, obtaining the weight of layers, applying the weight of layers, and fuzzy overlapping of layers. Analytical Network Process (ANP) model was used to weight the criteria. In the results of weighting, the distance from the fault, the distance from the parking lot, and the population without cars had the greatest impact on positioning. Finally, suitable places for the construction of the metro station were suggested.