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印度公交车司机的驾驶特性在驾驶行为及后续聚类中的作用调查。

An investigation into the role of driver characteristics in driving behaviours and subsequent clustering of Indian bus drivers.

作者信息

Jayakumar V, Vinodkumar M N

机构信息

School of Engineering, Cochin University of Science and Technology, India.

出版信息

Int J Occup Saf Ergon. 2025 Mar;31(1):34-44. doi: 10.1080/10803548.2024.2401727. Epub 2024 Oct 21.

Abstract

OBJECTIVES

Aberrant driving behaviours among bus drivers cause serious concerns to safety on the road. The present study aimed to measure the effects of driver characteristics on aberrant and positive driving behaviours among bus drivers and to group drivers accordingly. The study was carried out among bus drivers of the government-owned road transport corporation in Kerala, India.

METHODS

A total of 1120 drivers took part in the survey, out of which 617 drivers returned the forms with all questions answered (response rate = 55.1%). SPSS version 27.0 was used for analysis.

RESULTS

Structural equation modelling proved the predictive nature of driver characteristics on driving behaviours. -means cluster analysis revealed clusters such as violating and angry drivers (cluster 1), knowledgeable drivers with positive driving behaviours (cluster 2), healthy and stress-free drivers (cluster 3), erroneous and stressed drivers (cluster 4) and calm drivers with positive driving behaviours (cluster 5).

CONCLUSION

Positive relationships of anger and stress on aberrant driving behaviours and higher number of drivers in clusters 1 and 4 reveal concerns of safety. The study points towards the necessity of organizational commitment for improving driver characteristics for better driver behaviours and safer roads.

摘要

目的

公交车司机的异常驾驶行为引发了对道路安全的严重担忧。本研究旨在衡量驾驶员特征对公交车司机异常和积极驾驶行为的影响,并据此对司机进行分组。该研究在印度喀拉拉邦政府所有的道路运输公司的公交车司机中进行。

方法

共有1120名司机参与了调查,其中617名司机返回了所有问题均已回答的表格(回复率 = 55.1%)。使用SPSS 27.0版本进行分析。

结果

结构方程模型证明了驾驶员特征对驾驶行为的预测性质。均值聚类分析揭示了诸如违规且易怒的司机(第1组)、具有积极驾驶行为的知识型司机(第2组)、健康且无压力的司机(第3组)、错误驾驶且有压力的司机(第4组)以及具有积极驾驶行为的冷静司机(第5组)等类别。

结论

愤怒和压力与异常驾驶行为呈正相关,且第1组和第4组中司机数量较多,这揭示了安全方面的问题。该研究指出,为了改善驾驶员行为和道路安全,组织有必要致力于改善驾驶员特征。

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