Dimensions of aberrant driving behaviours in Tunisia: identifying the relation between Driver Behaviour Questionnaire results and accident data.
Identifieur interne : 000F24 ( Main/Exploration ); précédent : 000F23; suivant : 000F25Dimensions of aberrant driving behaviours in Tunisia: identifying the relation between Driver Behaviour Questionnaire results and accident data.
Auteurs : Dhibi Mohamed [Tunisie] ; Belkacem Lotfi [Tunisie]Source :
- International journal of injury control and safety promotion [ 1745-7319 ] ; 2016.
Descripteurs français
- KwdFr :
- Accidents de la route (psychologie), Accidents de la route (statistiques et données numériques), Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Analyse statistique factorielle (MeSH), Conduite automobile (psychologie), Conduite automobile (statistiques et données numériques), Enquêtes et questionnaires (MeSH), Femelle (MeSH), Humains (MeSH), Jeune adulte (MeSH), Mâle (MeSH), Sujet âgé (MeSH), Sécurité (statistiques et données numériques), Tunisie (MeSH).
- MESH :
- psychologie : Accidents de la route, Conduite automobile.
- statistiques et données numériques : Accidents de la route, Conduite automobile, Sécurité.
- Adolescent, Adulte, Adulte d'âge moyen, Analyse statistique factorielle, Enquêtes et questionnaires, Femelle, Humains, Jeune adulte, Mâle, Sujet âgé, Tunisie.
English descriptors
- KwdEn :
- Accidents, Traffic (psychology), Accidents, Traffic (statistics & numerical data), Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Automobile Driving (psychology), Automobile Driving (statistics & numerical data), Factor Analysis, Statistical (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Safety (statistics & numerical data), Surveys and Questionnaires (MeSH), Tunisia (MeSH), Young Adult (MeSH).
- MESH :
- psychology : Accidents, Traffic, Automobile Driving.
- statistics & numerical data : Accidents, Traffic, Automobile Driving, Safety.
- Adolescent, Adult, Aged, Factor Analysis, Statistical, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, Tunisia, Young Adult.
Abstract
In this study, the Manchester Driver Behaviour Questionnaire (DBQ) was used to examine the self-reported driving behaviours of a group of Tunisian drivers (N = 900) and to collect socio-demographic data, driver behaviours and DBQ items. A sample of Tunisian drivers above 18 years was selected. The aim of the present study was to investigate the factorial structure of the DBQ in Tunisia. The principal component analysis identified three factor solutions: inattention errors, dangerous errors and dangerous violations. Logistic regression analysis showed that dangerous errors, dangerous violations and speeding preference factors predicted crash involvement in Tunisia. Speeding is the most common form of aberrant behaviour reported by drivers in the current sample. It remains one of the major road safety concerns.
DOI: 10.1080/17457300.2015.1061559
PubMed: 26177001
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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(MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sécurité (statistiques et données numériques)</term><term>Tunisie (MeSH)</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Accidents de la route</term><term>Conduite automobile</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Accidents, Traffic</term><term>Automobile Driving</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Accidents, Traffic</term><term>Automobile Driving</term><term>Safety</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Accidents de la route</term><term>Conduite automobile</term><term>Sécurité</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Factor Analysis, 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A sample of Tunisian drivers above 18 years was selected. The aim of the present study was to investigate the factorial structure of the DBQ in Tunisia. The principal component analysis identified three factor solutions: inattention errors, dangerous errors and dangerous violations. Logistic regression analysis showed that dangerous errors, dangerous violations and speeding preference factors predicted crash involvement in Tunisia. Speeding is the most common form of aberrant behaviour reported by drivers in the current sample. It remains one of the major road safety concerns.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26177001</PMID><DateCompleted><Year>2017</Year><Month>05</Month><Day>19</Day></DateCompleted><DateRevised><Year>2017</Year><Month>05</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1745-7319</ISSN><JournalIssue CitedMedium="Internet"><Volume>23</Volume><Issue>4</Issue><PubDate><Year>2016</Year><Month>Dec</Month></PubDate></JournalIssue><Title>International journal of injury control and safety promotion</Title><ISOAbbreviation>Int J Inj Contr Saf Promot</ISOAbbreviation></Journal><ArticleTitle>Dimensions of aberrant driving behaviours in Tunisia: identifying the relation between Driver Behaviour Questionnaire results and accident data.</ArticleTitle><Pagination><MedlinePgn>337-345</MedlinePgn></Pagination><Abstract><AbstractText>In this study, the Manchester Driver Behaviour Questionnaire (DBQ) was used to examine the self-reported driving behaviours of a group of Tunisian drivers (N = 900) and to collect socio-demographic data, driver behaviours and DBQ items. A sample of Tunisian drivers above 18 years was selected. The aim of the present study was to investigate the factorial structure of the DBQ in Tunisia. The principal component analysis identified three factor solutions: inattention errors, dangerous errors and dangerous violations. Logistic regression analysis showed that dangerous errors, dangerous violations and speeding preference factors predicted crash involvement in Tunisia. Speeding is the most common form of aberrant behaviour reported by drivers in the current sample. 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