The driver behaviour questionnaire in Arab Gulf countries: Qatar and United Arab Emirates


Bener A. , ÖZKAN T., Lajunen T.

ACCIDENT ANALYSIS AND PREVENTION, cilt.40, ss.1411-1417, 2008 (SSCI İndekslerine Giren Dergi)

  • Cilt numarası: 40 Konu: 4
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.aap.2008.03.003
  • Dergi Adı: ACCIDENT ANALYSIS AND PREVENTION
  • Sayfa Sayısı: ss.1411-1417

Özet

Manchester Driver Behaviour Questionnaire (DBQ) is one of the most widely used instruments for measuring self-reported driving style and investigating the relationship between driving behaviour and accident involvement. In spite of the fact that Arab Gulf countries have a higher road accident fatality rate compared to European countries and USA, the DBQ has not been used in Arab countries so far. The aim of the present study was to investigate the factor structure of the DBQ, then to examine the relationships between the factors of the DBQ and accident involvement, and finally to compare DBQ scores between the two gulf countries: Qatar and United Arab Emirates (UAE). In this study, 1110 Qatari (263 females and 847 males) and 1286 UAE drivers (294 females and 992 males) filled a survey questionnaire including the DBQ and background information. The results showed that UAE drivers scored higher on almost all DBQ items than Qatari drivers. Surprisingly, only very small differences between men and women on the DBQ item scores were found in UAE. Factor analysis, resulted in four factors, which were named as errors, pushing-speeding violations, lapses, and aggression-speeding violations. However, there were a number of differences in the factor structure of the DBQ in UAE and Qatar when compared to the theoretical four-factor structure of the DBQ Reliabilities of some subscales were also questionably lower than in the original British data. Logistic regression analyses showed that errors, lapses, and aggression-speeding violations predicted accident involvement in Qatar but not in UAE after controlling the effect of the demographic variables (age, sex, and annual mileage). (c) 2008 Elsevier Ltd. All rights reserved.