2017
DOI: 10.1016/j.iatssr.2017.06.004
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Comparative study on foreign drivers' characteristics using traffic violation and accident statistics in Japan

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Cited by 30 publications
(12 citation statements)
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“…The red component contributes significantly to the reduction of wasted start-up time and also affects red light violations at junctions, raising infractions in the final ten seconds of the red light and decreasing them in the first ten seconds of the red-light. According to [4], red-light offenses are associated with four factors: The number of approaches, their speed, the width of the road, and the speed at intersections [1], traffic light offenses are related to five factors: the time of day (weekdays or weekends), the location of the camera, the vehicle type (two-wheeled or four-wheel drive), the cycle time (long or short), and the type of traffic signal (with Countdown Timer or normal) [13], the presence of cameras significantly reduced walking red-light violations [16], traffic violations are affected by one's sense of priority, speed, and understanding of the rules [18], private automobiles are responsible for the majority of violations at signalized intersections [5], red-light cameras are effective at reducing red-light violations and tend to be effective at reducing certain types of traffic violations [5], red light cameras are effective at reducing red-light violations and tend to be effective at reducing certain types of traffic violations…”
Section: Literature Reviewmentioning
confidence: 99%
“…The red component contributes significantly to the reduction of wasted start-up time and also affects red light violations at junctions, raising infractions in the final ten seconds of the red light and decreasing them in the first ten seconds of the red-light. According to [4], red-light offenses are associated with four factors: The number of approaches, their speed, the width of the road, and the speed at intersections [1], traffic light offenses are related to five factors: the time of day (weekdays or weekends), the location of the camera, the vehicle type (two-wheeled or four-wheel drive), the cycle time (long or short), and the type of traffic signal (with Countdown Timer or normal) [13], the presence of cameras significantly reduced walking red-light violations [16], traffic violations are affected by one's sense of priority, speed, and understanding of the rules [18], private automobiles are responsible for the majority of violations at signalized intersections [5], red-light cameras are effective at reducing red-light violations and tend to be effective at reducing certain types of traffic violations [5], red light cameras are effective at reducing red-light violations and tend to be effective at reducing certain types of traffic violations…”
Section: Literature Reviewmentioning
confidence: 99%
“…Related studies [15,16], meta-analysis [17], and a review article [18] all show a statistically significant positive correlation between traffic violations and traffic crashes. Yoh et al [19] illustrated that the type of specific illegal behavior is related to the severity of the crash. Wang et al [7] conducted a descriptive analysis using the traffic violation statistical data in China from 1995 to 2005 and inferred that five kinds of illegal behaviors such as speeding and drunk driving caused 40% of fatal crashes.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Sunagawa et al (2015) proposed a holistic framework on safer use of road crossing facilities by including PSC elements as a way to create a balance in the usability, safety and accessibility of the road space. Yoh et al (2017) utilized the PSC principle to identify and classify the traffic violations and accidents that foreign drivers in Japan are prone to commit depending on their region of origin. Mwebesa et al (2018) defined the relationship between 3Es and PSC principle as a safety hexagon that represents a type of crosssector cooperation approach, whereby PSC represent the risks or causes of road accidents while 3Es represents the solutions to these problems.…”
Section: Survey Design and Measuresmentioning
confidence: 99%