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
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
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
Article's DOI: 10.1016/j.jth.2020.100967
Entity: Universitat Rovira i Virgili
Journal publication year: 2020
Publication Type: Journal Publications
Repositori URV