Irak'ta yeni̇ tren i̇stasyonu yerleri̇ni̇n beli̇rlenmesi̇ i̇çi̇n CBS destekli̇ bi̇r karar destek si̇stemi̇
2017
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Advisor: Doç. Dr. Hadi Hakan Maraş
Abstract (EN)
Railway networks are one of the most necessary infrastructures all around the world. Today, to manage these networks, Geographic Information System (GIS) techniques should be used in order to study and analyze the railway network and its stations. It is very difficult to deal with railway systems by using traditional methods and the results may become inaccurate because of the huge amount of data related to them. In addition, by using GIS techniques in the development of the rail networks, the decision-making process will be improved and supported. Moreover, the results will be accurate because they result from using specific criteria to achieve a defined aim. In this study, the train stations in all of Iraq's provinces were studied and analyzed by using network analysis, which is one of the most powerful techniques within GIS. A GIS-based system was built by using the free trial copy of ArcGIS® software, PYTHON™ programming language, and ASP.Net (C#) programming language in order to develop a full decision-making environment to manage and locate train stations in the country of Iraq. The main methodology for this study is divided into two parts. v The first part identifies the problems in the current stations through the analysis of those stations by using network analysis. The second part determines the best candidate locations for new train stations depending on the number of people around those locations and the distance between those people and the new candidate locations according to the existing road network. In addition, the new locations should be accessible by people who are within a walking time of 20 minutes from the new locations as an accessibility value. The results will be presented as spatial maps, which portray the best locations for new train stations, and tabular data of the areas and the number of people to be served by the new stations.
Author
Hayder Farıs Najı Najı
Institution
Çankaya University
Bilgi Teknolojileri Bilim Dalı
How to Cite
Hayder Farıs Najı Najı (Master Thesis). Irak'ta yeni̇ tren i̇stasyonu yerleri̇ni̇n beli̇rlenmesi̇ i̇çi̇n CBS destekli̇ bi̇r karar destek si̇stemi̇, 2017, Çankaya University.
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