Accident involvement among Iranian lorry drivers: Direct and indirect effects of background variables and aberrant driving behaviour

Mehdizadeh, Milad; Mohaymany, Afshin Shariat; Nordfjærn, Trond

doi:10.1016/j.trf.2018.05.029

Cited by 49 publications

(29 citation statements)

References 53 publications

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“…The validated 27-item DBQ [ 17 , 19 ] was used to measure aberrant driving behaviour. The original version of DBQ in Persian, which has been used in this study, was already tested and validated on a group of professional lorry drivers in Iran [ 20 ]. The content validity of the original questionnaire was checked by a panel of experts.…”

Section: Methodsmentioning

confidence: 99%

“…The authors explored three principal factors (violations, dangerous errors, and relatively harmless lapses) for this instrument. Later, the DBQ was abridged or extended to cover new driving factors (e.g., aggressive violation) [ 17 , 18 , 19 , 20 , 21 , 22 ]. Several studies have applied the 28- or 27-item version of the DBQ in recent years.…”

Section: Literature Reviewmentioning

confidence: 99%

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Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers

Vahedi

Mohaymany

Tabibi

et al. 2018

IJERPH

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The current study aims to investigate the aberrant driving behaviour and risk involvement of Iranian taxi drivers. The sample comprised 405 Iranian taxi drivers, who were recruited with a cross-sectional design, using a self-completion questionnaire survey during October and November 2016. We contribute to the literature by understanding how and to what extent the socioeconomic, demographic, driving, and aberrant driving behaviours influence risk involvement (accident involvement and traffic tickets). The validated 27-item Driver Behaviour Questionnaire (DBQ) was applied to measure aberrant driving behaviour. The results from valid observations (n = 381) explored a four-factor solution (including errors, ordinary violations, lapses, and aggressive violations) of the DBQ. The results also showed that being a single driver, having a high annual driving mileage, and a high number of daily taxi trips were positively associated with accident involvement. Furthermore, there was a positive correlation between the more ordinary violations and aggressive violations and accident involvement. Establishing better training and qualification mechanisms for taxi drivers could be considered by traffic safety experts in order to reduce ordinary and aggressive violations.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers

Vahedi

Mohaymany

Tabibi

et al. 2018

IJERPH

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“…A score higher than mean value indicated the highest driver errors and violations in driving behaviors. The validity of the DBQ has been validated in numerous studies conducted in Iran [ 26 – 28 ].…”

Section: Methodsmentioning

confidence: 99%

Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers

et al. 2020

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Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran. Methods The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression. Results The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries.

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“…Some studies have investigated the factors affecting the occurrence of accidents and the investigating models of accident prediction in the field of cargo fleet. One of the most important parameters affecting the occurrence of lorry accidents, which were investigated in previous studies, is the age and the number of hours worked by the driver [4,6,[11][12][13][14][15][16]. Researchers have also concluded in other studies that factors such as drowsiness, fatigue, and how salaries are paid increase the risk of accidents [17].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Researchers have also concluded in other studies that factors such as drowsiness, fatigue, and how salaries are paid increase the risk of accidents [17]. Other variables used in modeling the lorry driver's accidents include driving experience [4,6,14], physical health characteristics [4,6], sleep duration [11,14,15], mileage [11,14], and gender [4,[11][12][13][14][15][16].…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Effect of Urban New Technologies on the Iranian Lorry Drivers’ Behavior

Sheikholeslami

Ayazi

Moghadari

2021

Journal of Advanced Transportation

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Most accidents are directly related to driving offenses, and drivers who commit more offenses are more prone to accidents. Therefore, reducing driving offenses can reduce accidents. In other words, the recognition of common driving offenses among heavy vehicle (truck) drivers and the effective factors in directing them to reduce driving offenses can consequently reduce the frequency and severity of accidents. It seems that there is a necessity for in-depth studies to carry out research on this topic. The main objective of this study is to identify and evaluate important factors affecting lorry drivers committing traffic offenses. To achieve the goals, the required information was categorized into six categories: traffic tonnage, not fastening the seatbelt, speeding, technical defect, talking on cell phone, and lacking towing worksheet; these factors are known as dependent variables. Also, its influencing factors—in the group of driver characteristics, vehicle, and mileage—were obtained by using a demographic questionnaire, Driving Behavior Questionnaire (DBQ), and interviews with 420 drivers over 60 days at Tehran Terminal. After correcting incomplete questionnaires, 351 drivers’ information was used for statistical analysis. The statistical analysis of data using a multivariate logistic regression model showed that drivers loading and unloading five or six times per month are less likely to commit overloading than drivers loading and unloading more than 12 times per month. The results also show that the distracted drivers with less slip behavior are less likely to commit unauthorized speed offenses and 85.4% are less likely to commit this violation. Finally, the statistical analysis showed that drivers with aggressive driving behavior were more likely to commit a lack of towing worksheet offenses.

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Accident involvement among Iranian lorry drivers: Direct and indirect effects of background variables and aberrant driving behaviour

Cited by 49 publications

References 53 publications

Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers

Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers

Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers

Investigating the Effect of Urban New Technologies on the Iranian Lorry Drivers’ Behavior

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