Vairavimo stiliaus prognostinė analizė: demografinių ir kognityvinių veiksnių reikšmė

Author:

Slavinskienė JustinaORCID,Endriulaitienė AuksėORCID

Abstract

This study aimed to compare four driving styles among professional and non-professional Lithuanian drivers and to assess the significance of demographic and cognitive factors in predicting investigated driving styles. The study included data from 446 nonprofessional drivers (mean of age 32.6 years) and 200 professional drivers (mean of age 47.7 years) in Lithuania. The research questionnaire comprised demographic data and self-report instruments for driving styles road risk perception and driving skills (perceptual-motor and safety) assessment. An interactive, video-based hazard prediction test was used to evaluate road hazard perception skills. The study results showed that professional drivers possess a more aggressive and more careless driving style, while nonprofessional drivers exhibited a more anxious driving style. It was found that longer driving experience, better self-assessed perceptual-motor skills, but poorer self-reported safety driving skills, were significant predictors for a driving style associated with a careless as well as with aggression, demonstrated among younger drivers. A poorer self-assessment of perceptual-motor driving skills was significantly associated with an anxious driving style among both professional and nonprofessional drivers with more driving experience. Finally, this study revealed that a safe driving style is significantly predicted by greater self-assessed perceptual-motor and safety driving skills.

Publisher

Vilnius University Press

Subject

General Earth and Planetary Sciences,General Environmental Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3