Research Papers

Predicting Drivers' Behavioural Intentions: Sometimes We Can Do It

Filename FINAL-PAPER-64.doc
Filesize 152 KB
Version 1
Date added June 10, 2010
Downloaded 3 times/fois
Category 2012 CMRSC XXII Banff
Tags Session 1C
Author/Auteur Harold W. Faw, Kevin Adhika, Allyson Denoso, Ashley Kemp, Questa Lee

Abstract

The Theory of Planned Behaviour (TPB) which attempts to predict people's intentions to behave in specific ways has found considerable application in studies of road safety, particularly in areas such as compliance with speed limits [1,2,3]. The present study employed an online questionnaire to explore this theory's suitability for predicting intentions in a range of driving behaviours including use of seatbelts, signaling turns, compliance with stop signs and refraining from use of cell phones while driving. A total of 320 drivers comprising two samples, most of them associated with Trinity Western University, completed self-ratings of Attitudes, Subjective Norms, Perceived Behavioural Control, and Perceived Risk, as well as Intention to act in appropriate or inappropriate ways in various situations. Using multiple regression analyses, the three-component model predicted intentions to a substantial degree, with Multiple R values ranging from a high of .865 for seatbelt use to a low of .268 for signaling lane changes. Addition of a Perceived Risk component to the model raised these values modestly in all seven behaviours examined, with Multiple R values in this case ranging from .895 for seatbelt use to .434 for signaling turns. The correlation between intention to act and the single most closely associated factor ranged from .41 to .84, with best predictors typically being either Perceived Control or Attitudes. Although the TPB is confirmed as a useful exploration tool for understanding driving violations, the fit of this model with the data varies considerably across behaviours. Future studies could refine the measurement of model components and also explore the role of habits in influencing behavioural intentions.

Harold W. Faw, Kevin Adhika, Allyson Denoso, Ashley Kemp, Questa Lee