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Identification of factors affecting road traffic injuries incidence and severity in southern Thailand based on accident investigation reports

dc.contributor.authorKlinjun, Nuntaporn
dc.contributor.authorKelly, Matthew
dc.contributor.authorPraditsathaporn, Chanita
dc.contributor.authorPetsirasan, Rewwadee
dc.date.accessioned2024-02-05T03:16:53Z
dc.date.available2024-02-05T03:16:53Z
dc.date.issued2021
dc.date.updated2022-10-09T07:17:23Z
dc.description.abstractThailand has the second-highest rates of road traffic mortality globally. Detailed information on the combination of human, vehicle, and environmental risks giving rise to each incident is important for addressing risk factors holistically. This paper presents the result of forensic road traffic investigation reports in Thailand and determines risk factor patterns for road traffic injuries. Detailed forensic reports were extracted for 25 serious traffic accident events. The Haddon matrix was used to analyze risk factors in three phases stratified by four agents. The 25 events analyzed involved 407 victims and 47 vehicles. A total of 65.8% of victims were injured, including 14.5% who died. The majority (66.1%) of deaths occurred at the scene. Human-error-related factors included speeding and drowsiness. Passenger risks included not using the seat belt, sitting in the cargo area and the cab of pickups. Overloaded vehicles, unsafe car modifications, no occupant safety equipment and having unfixed seats were vehicular risks. Environmental risks included fixed objects on the roadside, no traffic lights, no guard rails, no traffic signs, and road accident black spots. At present, traffic accidents cause much avoidable severe injury and death. The outcome of this paper identifies a number of preventable risk factors for traffic injury, and importantly examines them in conjunction. Road traffic safety measures need to consider how human, vehicle, and environmental risks intersect to influence injury likelihood and severity. The Haddon matrix is useful in identifying these pre-and post-accident risk factors. Furthermore, the sustainable preventions of road traffic injury need to address these risks together with active law enforcement.en_AU
dc.description.sponsorshipThis work was supported by Walailak University, Thailand, an individual scholarship [grant number WU-IRG-63-043]. The funder has no role in the study design, data collection, and data analysis or a policy maker.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1937-0695en_AU
dc.identifier.urihttp://hdl.handle.net/1885/313200
dc.language.isoen_AUen_AU
dc.provenanceThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_AU
dc.publisherMary Ann Liebert Inc.en_AU
dc.rights© 2021 The authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceSustainabilityen_AU
dc.subjectroad traffic injuryen_AU
dc.subjectrisk factoren_AU
dc.subjectroad traffic investigationen_AU
dc.subjectHaddon matrixen_AU
dc.titleIdentification of factors affecting road traffic injuries incidence and severity in southern Thailand based on accident investigation reportsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue22en_AU
local.bibliographicCitation.lastpage17en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationKlinjun, Nuntaporn, Walailak Universityen_AU
local.contributor.affiliationKelly, Matthew, College of Health and Medicine, ANUen_AU
local.contributor.affiliationPraditsathaporn, Chanita, Naresuan Universityen_AU
local.contributor.affiliationPetsirasan, Rewwadee, Prince of Songkla Universityen_AU
local.contributor.authoruidKelly, Matthew, u3973738en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor420604 - Injury preventionen_AU
local.identifier.ariespublicationa383154xPUB23583en_AU
local.identifier.citationvolume13en_AU
local.identifier.doi10.3390/su132212467en_AU
local.identifier.scopusID2-s2.0-85119174855
local.publisher.urlhttps://www.mdpi.com/en_AU
local.type.statusPublished Versionen_AU

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