The risks associated with using a mobile phone by young drivers

Transport ◽  
2013 ◽  
Vol 28 (4) ◽  
pp. 381-388 ◽  
Author(s):  
Marjana Čubranić-Dobrodolac ◽  
Svetlana Čičević ◽  
Momčilo Dobrodolac ◽  
Milkica Nešić
Keyword(s):  
Mobile Phone ◽  
Young Drivers

Mobile phone use by young drivers: effects on traffic speed and headways

2010 ◽  
Vol 33 (4) ◽  
pp. 385-394 ◽  
Author(s):  
George Yannis ◽  
Eleonora Papadimitriou ◽  
Xenia Karekla ◽  
Efrosyni Kontodima
Keyword(s):  
Mobile Phone ◽  
Mobile Phone Use ◽  
Young Drivers ◽  
Traffic Speed

scholarly journals A Comparative Study of Accident Risk Related to Speech-Based and Handheld Texting during a Sudden Braking Event in Urban Road Environments

2020 ◽  
Vol 17 (16) ◽  
pp. 5675 ◽  
Author(s):  
Rui Fu ◽  
Yunxing Chen ◽  
Qingjin Xu ◽  
Yuxi Guo ◽  
Wei Yuan
Keyword(s):  
Mobile Phone ◽  
Driving Behavior ◽  
Initial Time ◽  
Accident Risk ◽  
Urban Road ◽  
Time Headway ◽  
Young Drivers ◽  
Deceleration Rate ◽  
Accident Probability ◽  
Behavior Characteristics

The use of mobile phones while driving is a very common phenomenon that has become one of the main causes of traffic accidents. Many studies on the effects of mobile phone use on accident risk have focused on conversation and texting; however, few studies have directly compared the impacts of speech-based texting and handheld texting on accident risk, especially during sudden braking events. This study aims to statistically model and quantify the effects of potential factors on accident risk associated with a sudden braking event in terms of the driving behavior characteristics of young drivers, the behavior of the lead vehicle (LV), and mobile phone distraction tasks (i.e., both speech-based and handheld texting). For this purpose, a total of fifty-five licensed young drivers completed a driving simulator experiment in a Chinese urban road environment under five driving conditions: baseline (no phone use), simple speech-based texting, complex speech-based texting, simple handheld texting, and complex handheld texting. Generalized linear mixed models were developed for the brake reaction time and rear-end accident probability during the sudden braking events. The results showed that handheld texting tasks led to a delayed response to the sudden braking events as compared to the baseline. However, speech-based texting tasks did not slow down the response. Moreover, drivers responded faster when the initial time headway was shorter, when the initial speed was higher, or when the LV deceleration rate was greater. The rear-end accident probability respectively increased by 2.41 and 2.77 times in the presence of simple and complex handheld texting while driving. Surprisingly, the effects of speech-based texting tasks were not significant, but the accident risk increased if drivers drove the vehicle with a shorter initial time headway or a higher LV deceleration rate. In summary, these findings suggest that the effects of mobile phone distraction tasks, driving behavior characteristics, and the behavior of the LV should be taken into consideration when developing algorithms for forward collision warning systems.

scholarly journals Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1563 ◽  
Author(s):  
Amith Khandakar ◽  
Muhammad E.H. Chowdhury ◽  
Rashid Ahmed ◽  
Ahmed Dhib ◽  
Mohammed Mohammed ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Application ◽  
Electronic Device ◽  
Driving Behavior ◽  
Lane Changes ◽  
Young Drivers ◽  
Mobile Phone Applications ◽  
Portable System ◽  
Specific Speed ◽  
Vehicle Information

There is an utmost requirement for technology to control a driver’s phone while driving, which will prevent the driver from being distracted and thus saving the driver’s and passenger’s lives. Information from recent studies has shown that 70% of the young and aware drivers are used to texting while driving. There are many different technologies used to control mobile phones while driving, including electronic device control, global positioning system (GPS), on-board diagnostics (OBD)-II-based devices, mobile phone applications or apps, etc. These devices acquire the vehicle information such as the car speed and use the information to control the driver’s phone such as preventing them from making or receiving calls at specific speed limits. The information from the devices is interfaced via Bluetooth and can later be used to control mobile phone applications. The main aim of this paper is to propose the design of a portable system for monitoring the use of a mobile phone while driving and for controlling a driver’s mobile phone, if necessary, when the vehicle reaches a specific speed limit (>10 km/h). A paper-based self-reported questionnaire survey was carried out among 600 teenage drivers from different nationalities to see the driving behavior of young drivers in Qatar. Finally, a mobile application was developed to monitor the mobile usage of a driver and an OBD-II module-based portable system was designed to acquire data from the vehicle to identify drivers’ behavior with respect to phone usage, sudden lane changes, and abrupt breaking/sharp speeding. This information was used in a mobile application to control the driver’s mobile usage as well as to report the driving behavior while driving. The application of such a system can significantly improve drivers’ behavior all over the world.

scholarly journals Impact of mobile phone use on car-following behaviour of young drivers

2015 ◽  
Vol 82 ◽  
pp. 10-19 ◽  
Author(s):  
Mohammad Saifuzzaman ◽  
Md. Mazharul Haque ◽  
Zuduo Zheng ◽  
Simon Washington
Keyword(s):  
Mobile Phone ◽  
Mobile Phone Use ◽  
Car Following ◽  
Young Drivers

scholarly journals Mobile Phone Use “on the Road”: A Self-Report Study on Young Drivers

2021 ◽  
Vol 12 ◽  
Author(s):  
Angelo Fraschetti ◽  
Pierluigi Cordellieri ◽  
Giulia Lausi ◽  
Emanuela Mari ◽  
Elena Paoli ◽  
...  
Keyword(s):  
Risk Perception ◽  
Mobile Phone ◽  
Self Efficacy ◽  
Sensation Seeking ◽  
Self Report ◽  
Accident Risk ◽  
Mobile Phone Use ◽  
The Road ◽  
Young Drivers ◽  
On The Road

BackgroundExtensive research showed that multitasking negatively affects driving performance. Multitasking activities can range from talking and texting to listening to music; particularly among young drivers, multitasking behavior is caused mainly from mobile phone use while driving which is one of the main causes of road accidents.ObjectiveThe main purpose of this study was to investigate whether some variables (e.g., Sensation-Seeking, preferences of Multitasking) could affect mobile phone use while driving in young drivers and whether any gender differences were present among the examined variables.Setting and participantsThe sample consists of 424 Italian students (56% males) with an age range of 18–21 years. A self-report questionnaire was specifically developed to assess variables such as: Attitude toward Multitasking, Perceived Self-efficacy in Multitasking, Accident Risk Perception, General Multitasking Habits, and Sensation Seeking.ResultsThrough SEM modeling, we found the attitude to multitasking while driving to be largely explained by the considered variables. Using multigroup analysis (MGSEM), the model we developed appears to be suitable for explaining the behaviors of both male and female young drivers. Furthermore, data comparison showed that females were more likely to risk perception toward multitasking, and risk perception when using a mobile phone while driving, while males obtained higher mean scores in Sensation Seeking, Perceived Self-Efficacy in Multitasking, and in Multitasking caused by mobile phone use while driving.ConclusionOur research showed how some variables may influence the inclination of some subjects to engage in multitasking while driving. Furthermore, we discussed the importance of considering these variables in the implementation of effective road safety education projects on driving multitasking.

Social Influences Among Young Drivers on Talking on the Mobile Phone While Driving

2010 ◽  
Vol 11 (2) ◽  
pp. 127-132 ◽  
Author(s):  
Hernan E. Riquelme ◽  
Fawaz Saleh Al-Sammak ◽  
Rosa E. Rios
Keyword(s):  
Mobile Phone ◽  
Social Influences ◽  
Young Drivers

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Sign in / Sign up

Export Citation Format

Share Document