Show simple item record

dc.contributor.authorSoltani, Ali
dc.contributor.authorAskari, Sajad
dc.date.accessioned2017-05-03T14:57:00Z
dc.date.available2017-05-03T14:57:00Z
dc.date.issued2014
dc.identifier.issn14076160
dc.identifier.doi10.2478/ttj-2014-0020
dc.identifier.urihttp://hdl.handle.net/10072/69112
dc.description.abstractRoad traffic accidents (RTAs) rank in the top ten causes of the global burden of disease and injury, and Iran has one of the highest road traffic mortality rates in the world. This paper presents a spatiotemporal analysis of intra-urban traffic accidents data in metropolitan Shiraz, Iran during the period 2011-2012. It is tried to identify the accident prone zones and sensitive hours using Geographic Information Systems (GIS)-based spatio-temporal visualization techniques. The analysis aimed at the identification of high-rate accident locations and safety deficient area using Kernel Estimation Density (KED) method. The investigation indicates that the majority of occurrences of traffic accidents were on the main roads, which play a meta-region functional role and act as a linkage between main destinations with high trip generation rate. According to the temporal distribution of car crashes, the peak of traffic accidents incident is simultaneous with the traffic congestion peak hours on arterial roads. The accident-prone locations are mostly located in districts with higher speed and traffic volume, therefore, they should be considered as the priority investigation locations to safety promotion programs.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent352459 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherTransporta un Sakaru Instituts
dc.publisher.placeLatvia
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom548
dc.relation.ispartofpageto556
dc.relation.ispartofissue3
dc.relation.ispartofjournalTransport and Telecommunication
dc.relation.ispartofvolume15
dc.rights.retentionY
dc.subject.fieldofresearchUrban Analysis and Development
dc.subject.fieldofresearchcode120507
dc.titleAnalysis of intra-urban traffic accidents using spatiotemporal visualization techniques
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/3.0/
gro.rights.copyright© The Author(s) 2014. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License (http://creativecommons.org/licenses/by-nc-nd/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work.
gro.hasfulltextFull Text
gro.griffith.authorSoltani, Ali


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record