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dc.contributor.authorÇalışkan, Bernaen_US
dc.contributor.authorAtahan, Ali Osmanen_US
dc.contributor.authorKesten, Ali Sercanen_US
dc.date.accessioned2022-05-20T08:34:27Z
dc.date.available2022-05-20T08:34:27Z
dc.date.issued2022-04-21
dc.identifier.citationÇalışkan, B., Atahan, A. O. & Kesten, A. S. (2022). GIS aided vulnerability assessment for roads. Sustainable Civil Infrastructures, 1139-1147. doi:10.1007/978-3-030-79801-7_80en_US
dc.identifier.isbn9783030798000
dc.identifier.issn2366-3405
dc.identifier.urihttps://hdl.handle.net/11729/4339
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-030-79801-7_80
dc.description.abstractRoad networks are vulnerable to natural disasters such as floods, earthquakes and forest fires which can adversely affect the travel on the network. However, not all road links equally affect the travel conditions in a given network; typically some links are more critical to the network functioning than the others. The first stage of study involves the investigation of geological conditions. Image classification used for extracting information classes from ‘Geological Map of Istanbul area’ image file. The resulting raster layer used to create thematic map. A reclassification was performed for lithologic types. The second stage involves analyzing topological situation. A slope map prepared and classified according to percentage of slope values. The third phase is the analysis and interpretation of the accumulated data to establish suitable and applicable road vulnerability scores. The information in the source data for each vulnerability factor are classified into three different vulnerability scores: +2 (considerably increases vulnerability), +1 (increases vulnerability) and 0 (does not increase vulnerability) by using a vulnerability score table. The study area was categorized into three different traffic analysis zones as: (1) least favorable area; (2) favorable area; (3) most favorable area. Vulnerability values obtained to measure serviceability of critical links in dense urban road networks and applies them to the case of ‘Beyoğlu’ region. Thematic layers were prepared using the Geographic Information System (GIS), and they were then combined to produce the serviceability of road links in the ‘Beyoğlu’ region. Consequently, A site specific vulnerability index is proposed, considering the serviceability of road links. A conceptual flowchart of the GIS processing steps taken to obtain the vulnerability index is illustrated.en_US
dc.language.isoengen_US
dc.publisherSpringer Science and Business Media B.V.en_US
dc.relation.isversionof10.1007/978-3-030-79801-7_80
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.sourceSustainable Civil Infrastructuresen_US
dc.subjectGeological mapen_US
dc.subjectGIS image classificationen_US
dc.subjectRoad network vulnerabilityen_US
dc.subjectRoad network vulnerability indexen_US
dc.subjectServiceabilityen_US
dc.subjectClassification (of information)en_US
dc.subjectDeforestationen_US
dc.subjectDisastersen_US
dc.subjectImage classificationen_US
dc.subjectInformation useen_US
dc.subjectMapsen_US
dc.subjectNetwork securityen_US
dc.subjectRoads and streetsen_US
dc.subjectGeographic information system image classificationen_US
dc.subjectImages classificationen_US
dc.subjectNetwork vulnerabilityen_US
dc.subjectRoad networken_US
dc.subjectVulnerability indexen_US
dc.subjectGeographic information systemsen_US
dc.titleGIS aided vulnerability assessment for roadsen_US
dc.typeconferenceObjecten_US
dc.relation.journal18th International Road Federation World Meeting and Exhibitionen_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Civil Engineeringen_US
dc.contributor.authorID0000-0001-8522-3382
dc.identifier.startpage1139
dc.identifier.endpage1147
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorKesten, Ali Sercanen_US
dc.relation.indexScopusen_US


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