Safety of Public Transportation Occupational Drivers: Risk Perception, Attitudes, and Driving Behavior

2010 ◽  
Vol 2145 (1) ◽  
pp. 72-79 ◽  
Author(s):  
Ming Ma ◽  
Xinping Yan ◽  
Helai Huang ◽  
Mohamed Abdel-Aty
Keyword(s):  
Risk Perception ◽  
Public Transportation ◽  
Driving Behavior ◽  
Occupational Drivers

Effects of Occupational Drivers’ Traffic Accident History on Risk Perception, Work Attitudes, and Unstable Driving

2021 ◽  
pp. 036119812110126
Author(s):  
Eun Kyoung Chung ◽  
So Young Park ◽  
Young Woo Sohn
Keyword(s):  
Job Satisfaction ◽  
Risk Perception ◽  
Job Stress ◽  
Traffic Accident ◽  
Work Attitudes ◽  
Driving Behavior ◽  
Safe Driving ◽  
Professional Pride ◽  
The Relationship ◽  
Occupational Drivers

In previous studies the risk perception of future accidents was the main variable likely to affect safe driving. However, findings on the relationship between traffic accident history and risk perception of future accidents have been inconsistent. Moreover, in the case of occupational drivers, work attitudes could be the main factor affecting safe driving. However, no research has been conducted on the direct relationship between traffic accident history and work attitudes. Therefore, present study examined the effect of occupational drivers’ traffic accident history on their risk perception, work attitudes, and unstable driving. Data analysis was based on a self-reported survey of Korean occupational drivers (n = 388) and their official traffic accident records. Results show that traffic accident history was associated significantly with professional pride, job satisfaction, and aggressive driving but not with risk perception of future accidents or job stress. Moreover, all variables measuring unstable driving behavior were significantly related to professional pride, job satisfaction, and job stress. Furthermore, professional pride turned out to mediate the relationship between traffic accident history and current unstable driving. The major finding is that there is no significant relationship between traffic accident history and risk perception of future accidents. Furthermore, traffic accident history has a significant effect on positive variables such as professional pride and job satisfaction but not on negative variables such as job stress. In addition, the significant mediator in the relationship between traffic accident history and current unstable driving behavior was only professional pride.

scholarly journals Driving Behavior Theory and Computer Simulation System of Driver's Risk Perception based on 3D

2013 ◽  
Vol 96 ◽  
pp. 1686-1695 ◽  
Author(s):  
Zhao Jian-you ◽  
Shi Xiao-fen ◽  
Zhao Liang ◽  
Zhao Shuang-xi ◽  
Niu Xi-yang
Keyword(s):  
Computer Simulation ◽  
Risk Perception ◽  
Driving Behavior ◽  
Simulation System ◽  
Behavior Theory

scholarly journals Social Norms and Risk Perception: Predictors of Distracted Driving Behavior Among Novice Adolescent Drivers

2014 ◽  
Vol 54 (5) ◽  
pp. S32-S41 ◽  
Author(s):  
Patrick M. Carter ◽  
C. Raymond Bingham ◽  
Jennifer S. Zakrajsek ◽  
Jean T. Shope ◽  
Tina B. Sayer
Keyword(s):  
Risk Perception ◽  
Social Norms ◽  
Driving Behavior ◽  
Distracted Driving ◽  
Adolescent Drivers

scholarly journals Driving Behavior Analysis of City Buses Based on Real-Time GNSS Traces and Road Information

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 687 ◽  
Author(s):  
Yuan Yang ◽  
Jingjie Yan ◽  
Jing Guo ◽  
Yujin Kuang ◽  
Mingyang Yin ◽  
...  
Keyword(s):  
Behavior Analysis ◽  
Real Time ◽  
Public Transportation ◽  
Driver Behavior ◽  
Field Tests ◽  
Satellite System ◽  
Driving Behavior ◽  
Urban Environments ◽  
Urban Traffic ◽  
Intelligent Transport System

The driving behavior of bus drivers is related to the safety of all passengers and regulation of urban traffic. In order to analyze the relevant characteristics of speed and acceleration, accurate bus trajectories and patterns are essential for driver behavior analysis and development of effective intelligent public transportation. Exploiting real-time vehicle tracking, this paper develops a platform with vehicle-mounted terminals using differential global navigation satellite system (DGNSS) modules for driver behavior analysis. The DGNSS traces were used to derive the vehicle trajectories, which were then linked to road information to produce speed and acceleration matrices. Comprehensive field tests were undertaken on multiple bus routes in urban environments. The spatiotemporal results indicate that the platform can automatically and accurately extract the driving behavior characteristics. Furthermore, the platform’s visual function can be used to effectively monitor driving risks, such as speeding and fierce acceleration, in multiple bus routes. The details of the platform’s features are provided for intelligent transport system (ITS) design and applications.

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