Driving Performance Evaluation of Shuttle Buses: A Case Study of Hong Kong–Zhuhai–Macau Bridge

Ming Lv, Xiaojun Shao, Chimou Li and Feng Chen
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Ming Lv: CCCC Wenshan Highway Construction & Development Co., Ltd., Wenshan 663099, China
Xiaojun Shao: The Key Laboratory of Road and Traffic Engineering, Ministry of Education Tongji University, Shanghai 201804, China
Chimou Li: CCCC Wenshan Highway Construction & Development Co., Ltd., Wenshan 663099, China
Feng Chen: The Key Laboratory of Road and Traffic Engineering, Ministry of Education Tongji University, Shanghai 201804, China

IJERPH, 2022, vol. 19, issue 3, 1-13

Abstract: The risky behaviours of bus drivers are of great concern to public health and environmental sustainability, especially for the buses operated between cities. With this in mind, the present study examined the distribution of risky behaviours among bus drivers, and the contributing factors to risky performance. To achieve this, 1648 records of GPS trajectory data and 8281 records of advance warning message data from Hong Kong–Zhuhai–Macau Bridge shuttle buses were obtained. The temporal and spatial distribution of risky behaviours was analysed. A random parameters negative binomial model was developed to further investigate the relationship between speed-related factors and risky behaviours. The results indicated that the warning of safety distance, lane departure, forward collision, and distraction were more likely to occur on weekdays. The period between 14 and 16 o’clock obtained the highest frequency of safety distance and lane departure warnings. Regarding the model estimation results, indicators reflecting average speed, acceleration, and number of trips per day showed a statistically significant impact on safety distance and lane departure warnings. Also, the acceleration of bus drivers showed a mixed impact on lane departure warnings. Corresponding implications were discussed according to the findings to reduce the frequency of risky behaviours in shuttle bus operations.

Keywords: risky driving behaviour; random parameter; negative binomial regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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