Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles

The present study was planned to study the relationships between age, personality (according to Zuckerman’s and Gray’s psychobiological models) and decision-making styles in relation to risky driving behaviors. The participants were habitual drivers, 538 (54.3%) men and 453 (45.7%) women, with a mea...

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Autores: Aluja Fabregat, Antón, Balada, Ferran, García, Oscar, García, Luis F.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución: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:10459.1/463597
Acceso en línea:https://doi.org/10.3389/fpsyg.2023.1058927
https://hdl.handle.net/10459.1/463597
Access Level:acceso abierto
Palabra clave:Personality traits
Decision-making styles
Zuckerman’s alternative five factor personality model
Gray’s personality model
Risky driving
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spelling Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making stylesAluja Fabregat, AntónBalada, FerranGarcía, OscarGarcía, Luis F.Personality traitsDecision-making stylesZuckerman’s alternative five factor personality modelGray’s personality modelRisky drivingThe present study was planned to study the relationships between age, personality (according to Zuckerman’s and Gray’s psychobiological models) and decision-making styles in relation to risky driving behaviors. The participants were habitual drivers, 538 (54.3%) men and 453 (45.7%) women, with a mean age around 45 years and mainly of middle socioeconomic status. The results indicate that the youngest men and women reported more Lapses, Ordinary violations, and Aggressive violations than the oldest men and women. Women reported more Lapses (d = −0.40), and men more Ordinary (d = 0.33) and Aggressive violations (d = 0.28) when driving. Linear and non-linear analysis clearly support the role of both personality traits and decision-making styles in risky driving behaviors. Aggressiveness, Sensitivity to Reward, Sensation Seeking played the main role from personality traits, and Spontaneous and Rational decision-making style also accounted for some variance regarding risky driving behaviors. This pattern was broadly replicated in both genders. The discussion section analyses congruencies with previous literature and makes recommendations on the grounds of observed results.This research was funded by a grant from the Spanish Ministry of Economy, Industry and Competitiveness (PID2019-103981RB-I00). All the authors took part in this project as researchers.Frontiers Media2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3389/fpsyg.2023.1058927https://hdl.handle.net/10459.1/463597reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103981RB-I00Reproducció del document publicat a https://doi.org/10.3389/fpsyg.2023.1058927Frontiers Psychology, 2023, vol. 14, 1058927cc-by (c) Anton Aluja et al., 2023Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/4635972026-05-29T05:05:01Z
dc.title.none.fl_str_mv Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
title Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
spellingShingle Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
Aluja Fabregat, Antón
Personality traits
Decision-making styles
Zuckerman’s alternative five factor personality model
Gray’s personality model
Risky driving
title_short Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
title_full Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
title_fullStr Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
title_full_unstemmed Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
title_sort Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles
dc.creator.none.fl_str_mv Aluja Fabregat, Antón
Balada, Ferran
García, Oscar
García, Luis F.
author Aluja Fabregat, Antón
author_facet Aluja Fabregat, Antón
Balada, Ferran
García, Oscar
García, Luis F.
author_role author
author2 Balada, Ferran
García, Oscar
García, Luis F.
author2_role author
author
author
dc.subject.none.fl_str_mv Personality traits
Decision-making styles
Zuckerman’s alternative five factor personality model
Gray’s personality model
Risky driving
topic Personality traits
Decision-making styles
Zuckerman’s alternative five factor personality model
Gray’s personality model
Risky driving
description The present study was planned to study the relationships between age, personality (according to Zuckerman’s and Gray’s psychobiological models) and decision-making styles in relation to risky driving behaviors. The participants were habitual drivers, 538 (54.3%) men and 453 (45.7%) women, with a mean age around 45 years and mainly of middle socioeconomic status. The results indicate that the youngest men and women reported more Lapses, Ordinary violations, and Aggressive violations than the oldest men and women. Women reported more Lapses (d = −0.40), and men more Ordinary (d = 0.33) and Aggressive violations (d = 0.28) when driving. Linear and non-linear analysis clearly support the role of both personality traits and decision-making styles in risky driving behaviors. Aggressiveness, Sensitivity to Reward, Sensation Seeking played the main role from personality traits, and Spontaneous and Rational decision-making style also accounted for some variance regarding risky driving behaviors. This pattern was broadly replicated in both genders. The discussion section analyses congruencies with previous literature and makes recommendations on the grounds of observed results.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3389/fpsyg.2023.1058927
https://hdl.handle.net/10459.1/463597
url https://doi.org/10.3389/fpsyg.2023.1058927
https://hdl.handle.net/10459.1/463597
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103981RB-I00
Reproducció del document publicat a https://doi.org/10.3389/fpsyg.2023.1058927
Frontiers Psychology, 2023, vol. 14, 1058927
dc.rights.none.fl_str_mv cc-by (c) Anton Aluja et al., 2023
Attribution 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Anton Aluja et al., 2023
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv 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
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