Citation

Karlaftis MG, Kotzampassakis I, Kanellaidis G. J. Saf. Res. 2003; 34(2): 207-213.

Affiliation

Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, Greece. mgk@central.ntua.gr

Copyright

(Copyright © 2003, U.S. National Safety Council, Publisher Elsevier Publishing)

DOI

unavailable

PMID

12737960

Abstract

PROBLEM: Evaluating motorists through self-assessment has attracted much interest in recent literature, which is mainly due to the profound impact various parameters of self-assessment can have on the way motorists deal with hazardous traffic situations. Much of the previous work in this area has been hampered both by the lack of adequate sample sizes and, because of the small samples, the evaluation methodologies used. METHOD: This paper extends previous research in two significant directions: (a) it uses the SARTRE 2 database, which provides more than 17,000 questionnaires from most European countries; and (b) it employs the ordered probit modeling approach, which recognizes the latent nature of self-assessment and explicitly links its dimensions to a set of relevant explanatory variables such as age, gender, region, and income. RESULTS: The results indicate that drivers who rate themselves as both more dangerous and faster than others are, generally, younger men, with higher incomes, break the speed limit more frequently, avoid wearing seat belts, and have been involved in more accidents in the past than other drivers. Interestingly, more experienced and more highly educated drivers assess their driving as less dangerous, but admit to driving faster than other drivers. IMPACT ON INDUSTRY: The methodology used and the results obtained can be a significant help in identifying drivers with high and low self-assessment ratings, which can be useful in planning and implementing road safety information campaigns.