Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey

Background: The study assesses the prevalence rates of alcohol- and drug-involved driving in Catalonia (Spain). Method: Drivers were randomly selected for roadside testing using a stratified random sampling procedure representative of all vehicles circulating on non-urban roads. Mandatory alcohol an...

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Detalhes bibliográficos
Autores: Alcañiz, Manuela, Guillén, Montserrat, Santolino, Miguel
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/173489
Acesso em linha:https://hdl.handle.net/2445/173489
Access Level:acceso abierto
Palavra-chave:Gestió del risc
Conducció de vehicles de motor
Consum d'alcohol i accidents de trànsit
Drogues
Variables aleatòries
Risk management
Motor vehicle driving
Drinking and traffic accidents
Drugs of abuse
Random variables
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spelling Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside surveyAlcañiz, ManuelaGuillén, MontserratSantolino, MiguelGestió del riscConducció de vehicles de motorConsum d'alcohol i accidents de trànsitDroguesVariables aleatòriesRisk managementMotor vehicle drivingDrinking and traffic accidentsDrugs of abuseRandom variablesBackground: The study assesses the prevalence rates of alcohol- and drug-involved driving in Catalonia (Spain). Method: Drivers were randomly selected for roadside testing using a stratified random sampling procedure representative of all vehicles circulating on non-urban roads. Mandatory alcohol and drug tests were performed during autumn 2017. A sample of 6860 drivers were tested for alcohol use, of these 671 were also tested for drugs. Standard procedures were employed by traffic officers to detect alcohol and drug use. Alcohol breath tests were performed with breathalyser devices and on-site drug screening systems were used to test for drugs. Results: The prevalence of alcohol use above the legal limit and drug use were 1.2 % (95 % CI: 0.9-1.5 %) and 8.3 % (95 % CI: 5.8-11.2 %), respectively. The most frequent drugs detected were THC (5.6 %, 95 % CI: 3.7-8.0 %), cocaine (3.5 %, 95 % CI: 2.0-5.5 %) and amphetamines (1.6 %, 95 % CI: 0.6-3.4 %). Alcohol use was detected more frequently on conventional roads, at weekends and during night-time hours. Drug use was detected more frequently in young males during daytime hours. Conclusions: Driver risk profiles associated with alcohol use and drug use differ. Positive alcohol use is not a predictor of drug use when controlling for all other factors.Elsevier2021202420212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersion9 p.application/pdfhttps://hdl.handle.net/2445/173489Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1016/j.aap.2020.105947Accident Analysis and Prevention, 2021, vol. 151, num. 105947, p. 1-9https://doi.org/10.1016/j.aap.2020.105947cc-by-nc-nd (c) Elsevier, 2021http://creativecommons.org/licenses/by-nc-nd/3.0/esinfo:eu-repo/semantics/openAccessoai:recercat.cat:2445/1734892026-05-29T05:05:01Z
dc.title.none.fl_str_mv Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
title Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
spellingShingle Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
Alcañiz, Manuela
Gestió del risc
Conducció de vehicles de motor
Consum d'alcohol i accidents de trànsit
Drogues
Variables aleatòries
Risk management
Motor vehicle driving
Drinking and traffic accidents
Drugs of abuse
Random variables
title_short Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
title_full Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
title_fullStr Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
title_full_unstemmed Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
title_sort Differences in the risk profiles of drunk and drug drivers: Evidence from a mandatory roadside survey
dc.creator.none.fl_str_mv Alcañiz, Manuela
Guillén, Montserrat
Santolino, Miguel
author Alcañiz, Manuela
author_facet Alcañiz, Manuela
Guillén, Montserrat
Santolino, Miguel
author_role author
author2 Guillén, Montserrat
Santolino, Miguel
author2_role author
author
dc.subject.none.fl_str_mv Gestió del risc
Conducció de vehicles de motor
Consum d'alcohol i accidents de trànsit
Drogues
Variables aleatòries
Risk management
Motor vehicle driving
Drinking and traffic accidents
Drugs of abuse
Random variables
topic Gestió del risc
Conducció de vehicles de motor
Consum d'alcohol i accidents de trànsit
Drogues
Variables aleatòries
Risk management
Motor vehicle driving
Drinking and traffic accidents
Drugs of abuse
Random variables
description Background: The study assesses the prevalence rates of alcohol- and drug-involved driving in Catalonia (Spain). Method: Drivers were randomly selected for roadside testing using a stratified random sampling procedure representative of all vehicles circulating on non-urban roads. Mandatory alcohol and drug tests were performed during autumn 2017. A sample of 6860 drivers were tested for alcohol use, of these 671 were also tested for drugs. Standard procedures were employed by traffic officers to detect alcohol and drug use. Alcohol breath tests were performed with breathalyser devices and on-site drug screening systems were used to test for drugs. Results: The prevalence of alcohol use above the legal limit and drug use were 1.2 % (95 % CI: 0.9-1.5 %) and 8.3 % (95 % CI: 5.8-11.2 %), respectively. The most frequent drugs detected were THC (5.6 %, 95 % CI: 3.7-8.0 %), cocaine (3.5 %, 95 % CI: 2.0-5.5 %) and amphetamines (1.6 %, 95 % CI: 0.6-3.4 %). Alcohol use was detected more frequently on conventional roads, at weekends and during night-time hours. Drug use was detected more frequently in young males during daytime hours. Conclusions: Driver risk profiles associated with alcohol use and drug use differ. Positive alcohol use is not a predictor of drug use when controlling for all other factors.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/173489
url https://hdl.handle.net/2445/173489
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.aap.2020.105947
Accident Analysis and Prevention, 2021, vol. 151, num. 105947, p. 1-9
https://doi.org/10.1016/j.aap.2020.105947
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Elsevier, 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) Elsevier, 2021
http://creativecommons.org/licenses/by-nc-nd/3.0/es
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9 p.
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419316799078400
score 15,811543

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