Presence of passengers: Does it increase or reduce driver's crash potential?

Lee, Chris; Abdel-Aty, Mohamed

doi:10.1016/j.aap.2008.06.006

Cited by 128 publications

(39 citation statements)

References 19 publications

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“…However, the latter factor was found to be the strongest predictor in the multivariate model. Generally, most previous studies have found a protective effect of passenger presence on car crash, especially when either the driver or passenger is not young (13,15,16,19,(21)(22)(23)(24). Although this effect could also be applicable in the context of seatbelt use, the final model failed to support this result.…”

Section: Discussioncontrasting

confidence: 52%

“…Driver behaviors such as speed (17), mobile phone use while driving (18), alcohol/drug involvement (8,12), smoking, driving errors, regular walking, and having adequate sleep (19) are also predictors of seatbelt use for drivers. Furthermore, age and sex of passengers along with their wearing of seatbelts and their seating position (5,20) affect driver seatbelt use (3,13,14,18,19,(21)(22)(23)(24).…”

Section: Introductionmentioning

confidence: 99%

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Seatbelt Use and Related Factors Among Drivers Involved in Road Crashes in Southeast Iran

et al. 2015

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Background: Seatbelts are a relatively low-cost safety device that provides easy basic protection for occupants of 4-wheeled vehicles. Objectives: This study investigates frequency of seatbelt use and its related factors among drivers involved in a vehicle crash. Materials and Methods:In this cross-sectional study, all crash profiles recorded in a province from March 2010 to March 2011 were reviewed. Necessary information was extracted from crash reports in which at least one 4-wheeled vehicle was involved. Data were analyzed using binary and multinomial logistic regression. Results: Of a total of 1427 motor vehicle crashes, a seatbelt was used by 58.2% of drivers. In the univariate analysis, the following were significantly associated with seatbelt use: driver age, education, and occupation along with front seat passenger's sex and seatbelt use, type and make of vehicle, speed, road surface condition, and type of road. In the multivariate model, the following remained significant: driver education, seatbelt use by front seat passenger, and type of road. Furthermore, a restraining seatbelt protected drivers from severe injury and death. Unbelted drivers were 7 and 17.4 times more likely to experience injury and death respectively than belted drivers. Conclusions: The seatbelt wearing rate among the study participants was much lower than the 90% rate reported among Iranian drivers in 2010. Mandating seatbelt use, as in most countries, will be more effective if a combination of factors such as changes in vehicle design, road safety, and driver and passenger behavior are taken into account.

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Section: Discussioncontrasting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Seatbelt Use and Related Factors Among Drivers Involved in Road Crashes in Southeast Iran

et al. 2015

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“…Six (1.8%) drivers in our study reported being distracted by talking with other passengers. The degree of distraction is affected by the age and gender of both drivers and passengers 17 . In general, drivers who are accompanied by other passengers drive more safely because direct conversation has a protective effect 5,17,18 .…”

Section: Discussionmentioning

confidence: 99%

Distraction-related road traffic collisions

Eid¹,

Abu‐Zidan²

2017

Afr H. Sci.

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Objectives: We aimed to prospectively study distraction-related road traffic collision injuries, their contributory factors, severity, and outcome. Methods: Data were prospectively collected on all hospitalized road traffic collision trauma patients in Al-Ain City who were drivers at the collision time over one and half years. Driver's inattentive behaviors preceding the collision were collected by interviewing the admitted drivers. Results: There were 444 drivers, 330 of them were fully oriented patients, out of them only 44 (13%) were distracted. Nineteen (5.8%) drivers were distracted by using mobile phones, 12 (3.6%) were pre-occupied with deep thinking, six (1.8%) were talking with other passengers, four (1.2%) were picking things in the vehicle, and three (0.9%) were using entertainment systems. The maximum distraction occurred during the time of 6 am -12 noon when the traffic was crowded. There were no significant differences between distracted and non-distracted drivers in demographical and physiological factors, injured regions, and outcomes. Conclusion: Distraction of alert drivers causes 13% of road traffic collisions in Al-Ain city. About 40 percent of the distracted drivers involved in road traffic collisions (RTC) were using mobile phones. Our study supports the ban of use of cell phones while driving.

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“…Second, although the endogeneity of explanatory variables has been dealt with in some previous research efforts (see for example Winston et al, 2006;Lee and Abdel-Aty, 2008;Paleti et al, 2010), the crash-injury severity field has only begun to scratch the surface on this important issue. To provide another example of this problem (in addition to the ones provided earlier in the paper), consider the effectiveness of helmet use in determining motorcycle rider injury severity.…”

Section: Directions For Future Researchmentioning

confidence: 99%