Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13975
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDhondt, Stijn-
dc.contributor.authorPIRDAVANI, Ali-
dc.contributor.authorMacharis, Cathy-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorPutman, Koen-
dc.date.accessioned2012-09-24T11:26:47Z-
dc.date.available2012-09-24T11:26:47Z-
dc.date.issued2012-
dc.identifier.citationINJURY PREVENTION, 18(6), p.413-420-
dc.identifier.issn1353-8047-
dc.identifier.urihttp://hdl.handle.net/1942/13975-
dc.description.abstractIntroduction The majority of traffic safety policies are limited to preventing mortality. However, non-fatal injuries also impose a significant risk of adverse health. Therefore, both mortality and morbidity outcomes should be included in the evaluation of traffic safety policies. The authors propose a method to evaluate different policy options taking into account both fatalities and serious injuries. Methods A health impact model was developed and aligned with a transport and road safety model, calculating the health impact of fatalities and seriously injured traffic victims for two transport scenarios in Flanders and Brussels (Belgium): a base scenario and a fuel price increase of 20% as an alternative. Victim counts were expressed as disability adjusted life years, using a combination of police and medical data. Seriously injured victims were assigned an injury, using injury distributions derived from hospital data, to estimate the resulting health impact from each crash. Health impact of fatalities was taken as the remaining life expectancy at the moment of the fatal crash. Results The fuel price scenario resulted in a decrease of health impact due to fatalities of 5.53%e5.85% and 3.37%e3.88% for severe injuries. This decrease was however not equal among all road users. Conclusions With this method, the impact of traffic polices can be evaluated on both mortality and morbidity, while taking into account the variability of different injuries following a road crash. This model however still underestimates the impact due to non-fatal injuries.-
dc.language.isoen-
dc.titleTranslating road safety into health outcomes using a quantitative impact assessment model-
dc.typeJournal Contribution-
dc.identifier.epage420-
dc.identifier.issue6-
dc.identifier.spage413-
dc.identifier.volume18-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1136/injuryprev-2011-040286-
dc.identifier.isi000311417900011-
item.validationecoom 2013-
item.accessRightsRestricted Access-
item.fullcitationDhondt, Stijn; PIRDAVANI, Ali; Macharis, Cathy; BELLEMANS, Tom & Putman, Koen (2012) Translating road safety into health outcomes using a quantitative impact assessment model. In: INJURY PREVENTION, 18(6), p.413-420.-
item.fulltextWith Fulltext-
item.contributorDhondt, Stijn-
item.contributorPIRDAVANI, Ali-
item.contributorMacharis, Cathy-
item.contributorBELLEMANS, Tom-
item.contributorPutman, Koen-
crisitem.journal.issn1353-8047-
crisitem.journal.eissn1475-5785-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Inj Prev-2012-Dhondt-413-20.pdf
  Restricted Access
Published version408.57 kBAdobe PDFView/Open    Request a copy
Show simple item record

SCOPUSTM   
Citations

7
checked on Sep 2, 2020

WEB OF SCIENCETM
Citations

8
checked on May 8, 2024

Page view(s)

68
checked on Sep 6, 2022

Download(s)

52
checked on Sep 6, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.