Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study

Mobile phone use while driving has become one of the leading causes of traffic accidents and poses a significant threat to public health. This study investigated the impact of speech-based texting and handheld texting (two difficulty levels in each task) on car-following performance in terms of time...

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Main Authors: Yunxing Chen, Rui Fu, Qingjin Xu, Wei Yuan
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/4/1328
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spelling doaj-e492b37a4bf5418094d9684ac42868b42020-11-25T01:42:27ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012020-02-01174132810.3390/ijerph17041328ijerph17041328Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator StudyYunxing Chen0Rui Fu1Qingjin Xu2Wei Yuan3School of Automobile, Chang’an University, Xi’an 710064, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, ChinaMobile phone use while driving has become one of the leading causes of traffic accidents and poses a significant threat to public health. This study investigated the impact of speech-based texting and handheld texting (two difficulty levels in each task) on car-following performance in terms of time headway and collision avoidance capability; and further examined the relationship between time headway increase strategy and the corresponding accident frequency. Fifty-three participants completed the car-following experiment in a driving simulator. A Generalized Estimating Equation method was applied to develop the linear regression model for time headway and the binary logistic regression model for accident probability. The results of the model for time headway indicated that drivers adopted compensation behavior to offset the increased workload by increasing their time headway by 0.41 and 0.59 s while conducting speech-based texting and handheld texting, respectively. The model results for the rear-end accident probability showed that the accident probability increased by 2.34 and 3.56 times, respectively, during the use of speech-based texting and handheld texting tasks. Additionally, the greater the deceleration of the lead vehicle, the higher the probability of a rear-end accident. Further, the relationship between time headway increase patterns and the corresponding accident frequencies showed that all drivers’ compensation behaviors were different, and only a few drivers increased their time headway by 60% or more, which could completely offset the increased accident risk associated with mobile phone distraction. The findings provide a theoretical reference for the formulation of traffic regulations related to mobile phone use, driver safety education programs, and road safety public awareness campaigns. Moreover, the developed accident risk models may contribute to the development of a driving safety warning system.https://www.mdpi.com/1660-4601/17/4/1328distractionspeech-based textinghandheld textingtime headwayrear-end accident probabilitycompensation behavior
collection DOAJ
language English
format Article
sources DOAJ
author Yunxing Chen
Rui Fu
Qingjin Xu
Wei Yuan
spellingShingle Yunxing Chen
Rui Fu
Qingjin Xu
Wei Yuan
Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study
International Journal of Environmental Research and Public Health
distraction
speech-based texting
handheld texting
time headway
rear-end accident probability
compensation behavior
author_facet Yunxing Chen
Rui Fu
Qingjin Xu
Wei Yuan
author_sort Yunxing Chen
title Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study
title_short Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study
title_full Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study
title_fullStr Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study
title_full_unstemmed Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver’s Rear-End Risk Compensation Behavior via a Driving Simulator Study
title_sort mobile phone use in a car-following situation: impact on time headway and effectiveness of driver’s rear-end risk compensation behavior via a driving simulator study
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2020-02-01
description Mobile phone use while driving has become one of the leading causes of traffic accidents and poses a significant threat to public health. This study investigated the impact of speech-based texting and handheld texting (two difficulty levels in each task) on car-following performance in terms of time headway and collision avoidance capability; and further examined the relationship between time headway increase strategy and the corresponding accident frequency. Fifty-three participants completed the car-following experiment in a driving simulator. A Generalized Estimating Equation method was applied to develop the linear regression model for time headway and the binary logistic regression model for accident probability. The results of the model for time headway indicated that drivers adopted compensation behavior to offset the increased workload by increasing their time headway by 0.41 and 0.59 s while conducting speech-based texting and handheld texting, respectively. The model results for the rear-end accident probability showed that the accident probability increased by 2.34 and 3.56 times, respectively, during the use of speech-based texting and handheld texting tasks. Additionally, the greater the deceleration of the lead vehicle, the higher the probability of a rear-end accident. Further, the relationship between time headway increase patterns and the corresponding accident frequencies showed that all drivers’ compensation behaviors were different, and only a few drivers increased their time headway by 60% or more, which could completely offset the increased accident risk associated with mobile phone distraction. The findings provide a theoretical reference for the formulation of traffic regulations related to mobile phone use, driver safety education programs, and road safety public awareness campaigns. Moreover, the developed accident risk models may contribute to the development of a driving safety warning system.
topic distraction
speech-based texting
handheld texting
time headway
rear-end accident probability
compensation behavior
url https://www.mdpi.com/1660-4601/17/4/1328
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