Understanding and modelling risky driving behaviour on high-speed corridors

This study explores the relationships among various factors influencing risky driving behaviors, particularly on high-speed corridors (expressways). A total of 546 samples are collected from licensed drivers through an online survey. Exploratory factor analysis confirms the four-factor solution and the same is verified using confirmatory factor analysis. These factors are individual aberrant driving behavior (violations and errors), risky driving behavior performed by surrounding vehicles and dangerous maneuvers due to prevailing road environment. Structural equation modelling is used to establish the relationships amongst the aforementioned factors. The results of the study describe that observed risky driving behavior on expressways is mostly affected by drivers’ individual aberrant driving (γ = 0.62) followed by risky driving behavior performed by surrounding vehicles (γ = 0.39) and least affected by the road environment (γ = 0.36). The individual driving behavior is mostly affected by violations (γ = 0.47) followed by errors (γ = 0.38). Furthermore, differences in Driving Behavior Questionnaire (DBQ) scales are analyzed with respect to the demographic variables. Results suggest that male and young drivers report more violations than female and older drivers, respectively, however, female drivers are more error prone than male drivers. The findings of the study can be useful to identify the potential road safety countermeasures to improve the driving style as well as the driving environment.

• Record URL:
  https://doi.org/10.1016/j.trf.2021.09.009
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847821002138
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Gupta, Akshay
  • Choudhary, Pushpa
  • Parida, Manoranjan
• Publication Date: 2021-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 359-377
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 82
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Behavior; Driver performance; Expressways; High risk drivers; Risk taking
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01786551
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 28 2021 9:17AM