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: Attitudes toward safety regulations Professionals drivers Road safety
    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: Ciencias sociales Educação física Health policy Planejamento urbano e regional / demografia Pollution Public health, environmental and occupational health Public, environmental & occupational health Safety research Safety, risk, reliability and quality Saúde coletiva Transportation
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: joan.boada@urv.cat mariajose.serrano@urv.cat
    Author identifier: 0000-0002-1907-6887 0000-0003-0363-5522
    Record's date: 2023-02-19
    Papper version: info:eu-repo/semantics/submittedVersion
    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
    Attitudes toward safety regulations
    Professionals drivers
    Road safety
    Ciencias sociales
    Educação física
    Health policy
    Planejamento urbano e regional / demografia
    Pollution
    Public health, environmental and occupational health
    Public, environmental & occupational health
    Safety research
    Safety, risk, reliability and quality
    Saúde coletiva
    Transportation
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