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Article: Effective measures for combating drink-driving offenses: an attitudinal model for Hong Kong

TitleEffective measures for combating drink-driving offenses: an attitudinal model for Hong Kong
Authors
Keywordsdrink driving
mixed logistic regression
random breath test
stated preference survey
traffic safety
Issue Date2014
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21
Citation
Transportmetrica A: Transport Science, 2014, v. 10 n. 8, p. 722-739 How to Cite?
AbstractIn Hong Kong, legal limits on the concentration of alcohol permitted in drivers' blood, urine, and breath were introduced in 1995. Later legislation empowered the police to conduct random breath tests (RBTs) without the need for suspicion. Although drink-driving accounts for a relatively small portion of the traffic accidents in Hong Kong, the average killed and seriously injured rate for drink-driving accidents is higher than that for overall traffic accidents. From time to time, there are calls for heavier penalties such as longer prison sentences and driving disqualification periods for drink drivers, particularly those who cause severe injury and death. However, no consensus has been reached on the actual effectiveness of severe penalties in combating drink-driving offenses. In this study, a self-administrated, mail-back questionnaire including six stated preference games was conducted to evaluate drivers' perceptions of the current levels of penalties against drink-driving offenses. The game measured the associations between the propensity to drive after drinking and penalty levels. The results of a mixed logistic regression model revealed that the presence of an RBT checkpoint and an increase in driving-offense points and the durations of licence disqualification and imprisonment correlated positively with an increase in the deterrent effects of measures taken to combat drink driving. © 2014 Hong Kong Society for Transportation Studies Limited.
Persistent Identifierhttp://hdl.handle.net/10722/243759
ISSN
2019 Impact Factor: 2.424
2015 SCImago Journal Rankings: 1.352
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, YC-
dc.contributor.authorSze, NN-
dc.contributor.authorWong, SC-
dc.date.accessioned2017-08-25T02:59:09Z-
dc.date.available2017-08-25T02:59:09Z-
dc.date.issued2014-
dc.identifier.citationTransportmetrica A: Transport Science, 2014, v. 10 n. 8, p. 722-739-
dc.identifier.issn2324-9935-
dc.identifier.urihttp://hdl.handle.net/10722/243759-
dc.description.abstractIn Hong Kong, legal limits on the concentration of alcohol permitted in drivers' blood, urine, and breath were introduced in 1995. Later legislation empowered the police to conduct random breath tests (RBTs) without the need for suspicion. Although drink-driving accounts for a relatively small portion of the traffic accidents in Hong Kong, the average killed and seriously injured rate for drink-driving accidents is higher than that for overall traffic accidents. From time to time, there are calls for heavier penalties such as longer prison sentences and driving disqualification periods for drink drivers, particularly those who cause severe injury and death. However, no consensus has been reached on the actual effectiveness of severe penalties in combating drink-driving offenses. In this study, a self-administrated, mail-back questionnaire including six stated preference games was conducted to evaluate drivers' perceptions of the current levels of penalties against drink-driving offenses. The game measured the associations between the propensity to drive after drinking and penalty levels. The results of a mixed logistic regression model revealed that the presence of an RBT checkpoint and an increase in driving-offense points and the durations of licence disqualification and imprisonment correlated positively with an increase in the deterrent effects of measures taken to combat drink driving. © 2014 Hong Kong Society for Transportation Studies Limited.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21-
dc.relation.ispartofTransportmetrica A: Transport Science-
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 06 Jan 2014, available online: http://www.tandfonline.com/doi/abs/10.1080/23249935.2013.854425-
dc.subjectdrink driving-
dc.subjectmixed logistic regression-
dc.subjectrandom breath test-
dc.subjectstated preference survey-
dc.subjecttraffic safety-
dc.titleEffective measures for combating drink-driving offenses: an attitudinal model for Hong Kong-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepostprint-
dc.identifier.doi10.1080/23249935.2013.854425-
dc.identifier.scopuseid_2-s2.0-84901312710-
dc.identifier.hkuros275266-
dc.identifier.hkuros230294-
dc.identifier.volume10-
dc.identifier.issue8-
dc.identifier.spage722-
dc.identifier.epage739-
dc.identifier.isiWOS:000337251000003-
dc.publisher.placeUnited Kingdom-

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