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Analysing Iraqi Railways Network by Applying Specific Criteria Using the Gis Techniques

dc.contributor.author Naji, Hayder Fans
dc.contributor.author Maras, H. Hakan
dc.contributor.authorID 34410 tr_TR
dc.contributor.other 06.01. Bilgisayar Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2020-01-29T12:07:35Z
dc.date.accessioned 2025-09-18T15:45:15Z
dc.date.available 2020-01-29T12:07:35Z
dc.date.available 2025-09-18T15:45:15Z
dc.date.issued 2019
dc.description Naji, Hayder/0000-0002-3138-6677 en_US
dc.description.abstract The railways network is one of the huge infrastructure projects. Therefore, dealing with these projects such as analyzing and developing should be done using appropriate tools, i.e. GIS tools. Because, traditional methods will consume resources, time, money and the results maybe not accurate. In this research, the train stations in all of Iraq's provinces were studied and analyzed using network analysis, which is one of the most powerful techniques within GIS. A free trial copy of ArcGIS (R) 10.2 software was used in this research in order to achieve the aim of this study. The analysis of current train stations has been done depending on the road network, because people used roads to reach those train stations. The data layers for this study were collected and prepared to meet the requirements of network analyses within GIS. In this study, the current train stations in Iraq were analyzed and studied depending on accessibility value for those stations. Also, to know the numbers of people who can reach those stations within a walking time of 20 minutes. So, this study aims to analyze the current train stations according to multiple criteria by using network analysis in order to find the serviced areas around those stations. Results will be presented as digital maps layers with their attribute tables that show the beneficiaries from those train stations and serviced areas around those stations depending on specific criteria, with a view to determine the size of this problem and to support the decision makers in case of locating new train stations within the best locations for it. en_US
dc.identifier.citation Naji, Hayder Fans; Maras, H. Hakan, "Analysing Iraqi Railways Network by Applying Specific Criteria Using the GIS Techniques", Baghdad Science Journal, Vol. 16, No. 1, pp. 121-129, (2019). en_US
dc.identifier.doi 10.21123/bsj.2019.16.1.0121
dc.identifier.issn 2078-8665
dc.identifier.issn 2411-7986
dc.identifier.scopus 2-s2.0-85062857489
dc.identifier.uri https://doi.org/10.21123/bsj.2019.16.1.0121
dc.identifier.uri https://hdl.handle.net/20.500.12416/14538
dc.language.iso en en_US
dc.publisher Coll Science Women, Univ Baghdad en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Analysis Criteria en_US
dc.subject Arcgis en_US
dc.subject Gis en_US
dc.subject Iraq Railways en_US
dc.subject Network Analysis en_US
dc.title Analysing Iraqi Railways Network by Applying Specific Criteria Using the Gis Techniques en_US
dc.title Analysing Iraqi Railways Network by Applying Specific Criteria Using the GIS Techniques tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Naji, Hayder/0000-0002-3138-6677
gdc.author.institutional Maraş, Hadi Hakan
gdc.author.scopusid 57207758545
gdc.author.scopusid 57207761984
gdc.author.wosid Maras, Hakan/G-1236-2017
gdc.author.wosid Naji, Hayder/Jtz-6311-2023
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Naji, Hayder Fans] Univ Babylon, Coll Informat Technol, Babil, Iraq; [Maras, H. Hakan] Cankaya Univ, Coll Comp Engn, Ankara, Turkey en_US
gdc.description.endpage 129 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 121 en_US
gdc.description.volume 16 en_US
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.identifier.openalex W2939188586
gdc.identifier.wos WOS:000461461700017
gdc.openalex.fwci 0.0
gdc.openalex.normalizedpercentile 0.05
gdc.opencitations.count 0
gdc.plumx.mendeley 11
gdc.plumx.scopuscites 0
gdc.scopus.citedcount 0
gdc.wos.citedcount 0
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