Articles producció científica> Psicologia

Variables that predict Attitudes Toward Safety Regulations in professional drivers

  • Identification data

    Identifier: imarina:9138841
    Authors:
    Serrano-Fernández MJTàpia-Caballero PBoada-Grau JAraya-Castillo L
    Abstract:
    © 2020 Elsevier Ltd Background: Several authors have analyzed how certain driver characteristics can lead drivers not to comply with traffic regulations and commit traffic violations. In this paper we use the following indicators to develop a model for predicting the attitudes of professional drivers towards safety regulations: Personality, Job diagnostic survey, Job content questionnaire, Burnout, Driver Fatigue and Fatigue. Method: Participants were 511 professional drivers from various transport sectors recruited through non-probability sampling using the SPSS 25.0 program. Results: Our results are in line with the concept that certain variables have predictive power over factors studied in relation to Attitudes Toward Safety Regulations Scale (ATSRS). Conclusions: Attitudes towards safety regulations can be predicted through certain variables. Professional efficiency (22.7%) and Emotional Stability (22.3%) are the best predictors since they explain a greater degree of variance. This study will enable us to better understand which factors help to improve attitudes towards Safety Regulations and therefore to reduce penalties and road collisions.
  • Others:

    Author, as appears in the article.: Serrano-Fernández MJ; Tàpia-Caballero P; Boada-Grau J; Araya-Castillo L
    Department: Psicologia
    e-ISSN: 2214-1405
    URV's Author/s: Boada Grau, Joan / Serrano Fernandez, Maria Jose / Tàpia Caballero, Patrícia
    Keywords: Road safety Professionals drivers Attitudes toward safety regulations
    Abstract: © 2020 Elsevier Ltd Background: Several authors have analyzed how certain driver characteristics can lead drivers not to comply with traffic regulations and commit traffic violations. In this paper we use the following indicators to develop a model for predicting the attitudes of professional drivers towards safety regulations: Personality, Job diagnostic survey, Job content questionnaire, Burnout, Driver Fatigue and Fatigue. Method: Participants were 511 professional drivers from various transport sectors recruited through non-probability sampling using the SPSS 25.0 program. Results: Our results are in line with the concept that certain variables have predictive power over factors studied in relation to Attitudes Toward Safety Regulations Scale (ATSRS). Conclusions: Attitudes towards safety regulations can be predicted through certain variables. Professional efficiency (22.7%) and Emotional Stability (22.3%) are the best predictors since they explain a greater degree of variance. This study will enable us to better understand which factors help to improve attitudes towards Safety Regulations and therefore to reduce penalties and road collisions.
    Thematic Areas: Transportation Saúde coletiva Safety, risk, reliability and quality Safety research Public, environmental & occupational health Public health, environmental and occupational health Pollution Planejamento urbano e regional / demografia Health policy Educação física Ciencias sociales
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: mariajose.serrano@urv.cat joan.boada@urv.cat
    Author identifier: 0000-0003-0363-5522 0000-0002-1907-6887
    Record's date: 2023-02-19
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S2214140520301717
    Papper original source: Journal Of Transport & Health. 19 (100967):
    APA: Serrano-Fernández MJ; Tàpia-Caballero P; Boada-Grau J; Araya-Castillo L (2020). Variables that predict Attitudes Toward Safety Regulations in professional drivers. Journal Of Transport & Health, 19(100967), -. DOI: 10.1016/j.jth.2020.100967
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1016/j.jth.2020.100967
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications
  • Keywords:

    Health Policy,Pollution,Public Health, Environmental and Occupational Health,Public, Environmental & Occupational Health,Safety Research,Safety, Risk, Reliability and Quality,Transportation
    Road safety
    Professionals drivers
    Attitudes toward safety regulations
    Transportation
    Saúde coletiva
    Safety, risk, reliability and quality
    Safety research
    Public, environmental & occupational health
    Public health, environmental and occupational health
    Pollution
    Planejamento urbano e regional / demografia
    Health policy
    Educação física
    Ciencias sociales
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