Variables that predict Attitudes Toward Safety Regulations in professional drivers

María José Serrano-Fernández, Patricia Tàpia-Caballero, Joan Boada-Grau, Luis Araya-Castillo

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number100967
JournalJournal of Transport and Health
Volume19
DOIs
Publication statusPublished - Dec 2020

Keywords

  • Attitudes toward safety regulations
  • Professionals drivers
  • Road safety

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Transportation
  • Pollution
  • Safety Research
  • Health Policy
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Variables that predict Attitudes Toward Safety Regulations in professional drivers'. Together they form a unique fingerprint.

Cite this