Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire

More than 16,500 people lose their lives each year due to traffic crashes in Iran, which reflects one of the highest road traffic fatality rates in the world. The aim of the present study is to investigate the factors structure of an extended Driver Behaviour Questionnaire (DBQ) and to examine the g...

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Main Authors: Amin Mohamadi Hezaveh, Trond Nordfjærn, Amir Reza Mamdoohi, Özlem Şimşekoğlu
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2018-02-01
Series:Promet (Zagreb)
Subjects:
Online Access:https://traffic.fpz.hr/index.php/PROMTT/article/view/2412
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author Amin Mohamadi Hezaveh
Trond Nordfjærn
Amir Reza Mamdoohi
Özlem Şimşekoğlu
author_facet Amin Mohamadi Hezaveh
Trond Nordfjærn
Amir Reza Mamdoohi
Özlem Şimşekoğlu
author_sort Amin Mohamadi Hezaveh
collection DOAJ
description More than 16,500 people lose their lives each year due to traffic crashes in Iran, which reflects one of the highest road traffic fatality rates in the world. The aim of the present study is to investigate the factors structure of an extended Driver Behaviour Questionnaire (DBQ) and to examine the gender differences in the extracted factors among Iranian drivers. Further, the study tested the association between DBQ factors, demographic characteristics, and self-reported crashes. Based on Iranian driving culture, an extended (36 items) Internet-based version of the DBQ was distributed among Iranian drivers. The results of Exploratory Factor Analysis based on a sample of 632 Iranians identified a five-factor solution named “Speeding and Pushing Violations”, “Lapses and Errors”, “Violations Causing Inattention”, “Aggressive Violations” and “Traffic Violations” which account for 44.7 percent of the total variance. The results also revealed that females were more prone to Lapses and Errors, whereas males reported more violations than females. Logistic regression analysis identified Violations Causing Inattention, Speeding and Pushing Violations as predictors of self-reported crashes in a three-year period. The results were discussed in line with road traffic safety countermeasures suitable for the Iranian context.
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spelling doaj.art-b7ff7bce6d374ddfa17b2b9f9390443f2022-12-22T00:44:24ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692018-02-01301354310.7307/ptt.v30i1.24122412Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior QuestionnaireAmin Mohamadi Hezaveh0Trond Nordfjærn1Amir Reza Mamdoohi2Özlem Şimşekoğlu3University of Tennessee, KnoxvilleSt. Olavs University Hospital, Clinic of Substance Use and Addiction Medicine, R&D Department, Trondheim, NorwayHighway Engineering & Transportation Planning Department, Tarbiat Modares University, Tehran, IranNord University, Traffic School and Driver Teacher Education, Stjørdal, Norway. Norwegian University of Science and Technology, Department of Psychology, Trondheim, NorwayMore than 16,500 people lose their lives each year due to traffic crashes in Iran, which reflects one of the highest road traffic fatality rates in the world. The aim of the present study is to investigate the factors structure of an extended Driver Behaviour Questionnaire (DBQ) and to examine the gender differences in the extracted factors among Iranian drivers. Further, the study tested the association between DBQ factors, demographic characteristics, and self-reported crashes. Based on Iranian driving culture, an extended (36 items) Internet-based version of the DBQ was distributed among Iranian drivers. The results of Exploratory Factor Analysis based on a sample of 632 Iranians identified a five-factor solution named “Speeding and Pushing Violations”, “Lapses and Errors”, “Violations Causing Inattention”, “Aggressive Violations” and “Traffic Violations” which account for 44.7 percent of the total variance. The results also revealed that females were more prone to Lapses and Errors, whereas males reported more violations than females. Logistic regression analysis identified Violations Causing Inattention, Speeding and Pushing Violations as predictors of self-reported crashes in a three-year period. The results were discussed in line with road traffic safety countermeasures suitable for the Iranian context.https://traffic.fpz.hr/index.php/PROMTT/article/view/2412Driver Behaviour QuestionnaireExploratory Factor Analysisself-reported crashes predictorroad safetyhuman factor
spellingShingle Amin Mohamadi Hezaveh
Trond Nordfjærn
Amir Reza Mamdoohi
Özlem Şimşekoğlu
Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire
Promet (Zagreb)
Driver Behaviour Questionnaire
Exploratory Factor Analysis
self-reported crashes predictor
road safety
human factor
title Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire
title_full Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire
title_fullStr Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire
title_full_unstemmed Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire
title_short Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire
title_sort predictors of self reported crashes among iranian drivers exploratory analysis of an extended driver behavior questionnaire
topic Driver Behaviour Questionnaire
Exploratory Factor Analysis
self-reported crashes predictor
road safety
human factor
url https://traffic.fpz.hr/index.php/PROMTT/article/view/2412
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