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Modelling Road Work Zone Crashes’ Nature and Type of Person Involved Using Multinomial Logistic Regression

2023-02-02Journal article Open access
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dc.contributor.authorVieira, Adriana
dc.contributor.authorSantos, Bertha
dc.contributor.authorPicado-Santos, Luis
dc.date.accessioned2023-06-21T09:11:50Z
dc.date.available2023-06-21T09:11:50Z
dc.date.issued2023-02-02
dc.description.abstractThe sustainable development goals “Good health and well-being” and “Sustainable cities and communities” of the United Nations and World Health Organization, alert governments and researchers and raise awareness about road safety problems and the need to mitigate them. In Portugal, after the economic crisis of 2008–2013, a significant amount of road assets demand investment in maintenance and rehabilitation. The areas where these actions take place are called work zones. Considering the particularities of these areas, the proposed work aims to identify the main factors that impact the occurrence of work zones crashes. It uses the statistical technique of multinomial logistic regression, applied to official data on road crashes occurred in mainland Portugal, during the period of 2010–2015. Usually, multinomial logistic regression models are developed for crash and injury severity. In this work, the feasibility of developing predictive models for crash nature (collision, run off road and running over pedestrians) and for type of person involved in the crash (driver, passenger and pedestrian), considering only one covariate (the number of persons involved in the crash), was studied. For the two predictive models obtained, the variables road environment (urban/rural), horizontal geometric design (straight/curve), pavement grip conditions (good/bad), heavy vehicle involvement, and injury severity (fatalities, serious and slightly injuries), were identified as the preponderant factors in a universe of 230 investigated variables. Results point to an increase of work zone crash probability due to driver actions such as running straight and excessive speed for the prevailing conditions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVieira, A.; Santos, B.; Picado-Santos, L. Modelling Road Work Zone Crashes’ Nature and Type of Person Involved Using Multinomial Logistic Regression. Sustainability 2023, 15, 2674. https://doi.org/10.3390/su15032674pt_PT
dc.identifier.doi10.3390/su15032674pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/13366
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCivil Engineering Research and Innovation for Sustainability
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/15/3/2674pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRoad traffic safetypt_PT
dc.subjectWork zonept_PT
dc.subjectMultinomial logistic regressionpt_PT
dc.subjectCrash naturept_PT
dc.subjectType of person involvedpt_PT
dc.subjectType of person involvedpt_PT
dc.titleModelling Road Work Zone Crashes’ Nature and Type of Person Involved Using Multinomial Logistic Regressionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCivil Engineering Research and Innovation for Sustainability
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04625%2F2020/PT
oaire.citation.conferencePlaceSwitzerlandpt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage2674pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume15pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCoelho Vieira
person.familyNameSantos
person.familyNamePicado Santos
person.givenNameAdriana
person.givenNameBertha
person.givenNameLuis
person.identifier.ciencia-idBE1A-879F-8282
person.identifier.ciencia-idC314-1475-D16A
person.identifier.orcid0000-0002-7210-1658
person.identifier.orcid0000-0002-5545-892X
person.identifier.orcid0000-0003-2072-3188
person.identifier.scopus-author-id54880406000
person.identifier.scopus-author-id55909533400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication97435876-1add-4ef8-9451-572844482bb7
relation.isAuthorOfPublication444d1a96-ae0d-4778-93d1-8fcbf30ec96a
relation.isAuthorOfPublication854ba4b1-97bc-4a19-bcf2-ec4a2bbd8a47
relation.isAuthorOfPublication.latestForDiscovery444d1a96-ae0d-4778-93d1-8fcbf30ec96a
relation.isProjectOfPublication8ffcfa74-0700-4ea6-8ebe-3e0252d5d485
relation.isProjectOfPublication.latestForDiscovery8ffcfa74-0700-4ea6-8ebe-3e0252d5d485

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