Bus stop optimization based on AFCS (Automatic Fare Collection System) and demographic data with GIS

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2019
Tetik Yediel, Hande
In recent years, with the increase in the urban population, a significant increase has been observed in the studies on transportation demands in cities. Especially in metropolitan cities, studies on public transportation are of great importance in order to minimize the negative factors such as traffic density, traffic accidents, air pollution, noise pollution and psychological trauma caused by the use of private vehicles. The use of public transportation can help reduce traffic in cities and saves time and cost and is very effective in reducing environmental pollution. Consequently, there is a need to encourage people to use public transport as opposed to private cars. To be able to do that, the public transport service quality must be high, and the system should be accessible. This study focuses on this issue of access to public transport. Stops and stations are the access points of public transport systems, and their location is extremely important to ensure that the system penetrates the city and the population. Location of stops and stations can be important factors in a public transport system’s ability to become a preferred alternative to travel. Therefore, in improving public transport systems with a view to attract more passengers, an assessment of stop locations can be an important task. Locations of stops and stations cannot be changed for urban rail systems due to the fixed and high-cost investment, but such a change is possible for bus systems. In this study, regular buses used in public transportation are examined. Decisions regarding the location of buses can be supported with a number of methods that can be described as bus stop optimization methods. This study aims at highlighting the strengths of a method that incorporates the use of geographic information systems into this decision making. For this purpose, a bus line in Istanbul metropolitan area has been studied. The preferred locations of the stops in this bus line (from the perspective of the population in the areas served by the bus) have been examined in two different ways according to the access areas within walking distance and by using bus passenger number data. The results reveal the potentials and advantages of this technique in planning bus lines and their bus stops, which can contribute significantly to the improvement of public transport systems and services.

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Citation Formats
H. Tetik Yediel, “Bus stop optimization based on AFCS (Automatic Fare Collection System) and demographic data with GIS,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Geodetic and Geographical Information Technologies., Middle East Technical University, 2019.