Safety Risk of Mobile Phone Use while Driving in Sample of Taxi Drivers

Darcin, Murat; Alkan, Murat

doi:10.7307/ptt.v27i4.1597

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…level of education, marital status) are also found to be significantly associated with their aggressive driving and risk-taking behaviors [25]. 81% of taxi drivers in Ankara, Turkey reported talking by using hand-held phone while driving [26]. On the other hand, many previous studies reported in the literature show that professional driver's crash involvement is significantly related to the sociodemographic factors, working conditions or risky driving behaviors [10,15,[27][28][29]; therefore, the proposed quantitative approach using all these possible contributory factors can be used to examine the potential crash risk for professional drivers (i.e., taxi, bus, coach, truck) in China, European countries and other areas in the world [15,30].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Predicting personal injury crash risk through working conditions, job strain, and risky driving behaviors among taxi drivers

Zhou

Wang

2018

Eur. Transp. Res. Rev.

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Introduction: Taxis play an important role among public transport modes in China, but there has been very little in-depth research regarding taxi drivers' crash risk. Thus, this study aimed to develop a quantitative method to predict taxi drivers' crash risk and identify contributory factors. Methods: Nine hundred fourty-eight professional taxi drivers in Xi'an, China completed an anonymous, structured face-to-face questionnaire reporting their demographic information, work-related stress, daily risky driving behaviors, and crash experience within the 3 years prior to the survey. A Negative-Binomial regression model was used to predict the risk of personal injury collisions for taxi drivers. Results: Drivers' 7 risky driving behaviors (e.g., disregarding red lights, speeding, aggressive driving, driving while sleepy or fatigued, etc.) were significantly and positively related to the risk of personal injury collisions, while driver's parking at will to pick up/drop off passengers was not a significant predictor of such risk for taxi drivers. Furthermore, driver's sociodemographic characteristics and level of occupational workload were not found to be significantly correlated with the personal injury crash risk. Conclusions: Risk traits appear to peak among male taxi drivers who drive more hours per day, pay high management fees, and frequently engage in risky behaviors while driving. These findings provide implications to design potentially useful policy initiatives as well as targeted safety promotion programs to prevent road crashes involving professional taxi drivers.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Predicting personal injury crash risk through working conditions, job strain, and risky driving behaviors among taxi drivers

Zhou

Wang

2018

Eur. Transp. Res. Rev.

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“…Along with "ordinary" drivers, these groups of professional drivers are increasingly becoming the subjects of research [58]. It is important to include taxi drivers as well, because they need to use MTDs in order to stay competitive on the market [59]. To reduce the number of traffic accidents, one of the possibilities is preventive action to raise drivers' awareness as well as knowledge about the negative impact of ICES on driver behavior while driving.…”

Section: Using Navigation Systemsmentioning

confidence: 99%

The Impact of Using Modern Information and Communication Equipment and Services on Driving Safety

Jovović

Peraković

Husnjak

2018

PROMET

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With the development and application of modern information and communication equipment and services (ICES), global society has undergone significant development and progress in everyday life. Along with the positive, negative aspects of their usage have evolved. One of the problems is the new sources of driver distraction, which ultimately results in a serious, growing daily threat to traffic safety. Simultaneously with the development of ICES, the number of distracters (mobile terminal devices, laptops, smart watches, and others) has increased as well, which also reduces the level of safety and affects the quality of driving. With the increase in participation and ownership of mobile terminal devices, as well as the implementation of modern multimedia information and communication systems in vehicles, this problem will further escalate in the coming years. The unfavorable factor comes from the fact that distraction factors influenced by using ICES belong to bio-mechanical, cognitive, auditory, and visual categories, which directly affects essential human functions for successful and safe vehicle operation. This paper provides insight into the issue of distraction factors that affect drivers with an emphasis on those caused by using modern ICES.

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“…Using a mobile phone or communicational services while driving has become one of the key factors of distraction, which significantly affects the driver's reaction speed, which, in turn, acts as a causal factor of road traffic accidents, negatively contributing to traffic safety overall [1]. The rise of the number of users of communicational services, as well as the rise of general usage of telecommunications services in general, points to the fact that this trend will continue to grow [2].…”

Section: Introductionmentioning

confidence: 99%

Development of Methodology for Defining a Pattern of Drivers Mobile Phone Usage While Driving

et al. 2022

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Mobile phone usage during driving causes driver distraction, which negatively affects road traffic safety and is becoming an increasingly common cause of traffic accidents. This paper proposes a new methodology, based on anonymized datasets from telecommunication networks and analytical possibilities of data science, which has as its goal to identify a pattern of usage of the mobile phone (in particular voice calls and applications) by drivers while driving. Based on this finding, the methodology is used to identify segments of the road infrastructure on which mobile phone usage is more intense. Applying this methodology enables stakeholders in the road traffic safety system to propose targeted measures (educational, legal, or engineering) precisely on the sections where it is most vital to do so in order to reduce mobile phone usage and enhance road safety. The proposed methodology was implemented and demonstrated on two pilot sections on state roads in the Republic of Croatia. Research results point to the fact that the percentage of drivers who use the mobile phone for voice calls or for app usage is exceptionally high (10.68% to 33.90%) and presents a serious threat to road traffic safety.

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Safety Risk of Mobile Phone Use while Driving in Sample of Taxi Drivers

Abstract: ABSTRACT

Cited by 5 publications

References 40 publications

Predicting personal injury crash risk through working conditions, job strain, and risky driving behaviors among taxi drivers

Predicting personal injury crash risk through working conditions, job strain, and risky driving behaviors among taxi drivers

The Impact of Using Modern Information and Communication Equipment and Services on Driving Safety

Development of Methodology for Defining a Pattern of Drivers Mobile Phone Usage While Driving

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