中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2022, Vol. 41 ›› Issue (01): 7-12.DOI: 10.3969/j.issn.1674-0696.2022.01.02

• 交通+大数据人工智能 • 上一篇    

基于复回归分析的电动自行车风险驾驶行为研究

周旦,常梦莹,顾国斌,李文勇   

  1. (桂林电子科技大学 建筑与交通工程学院,广西 桂林 541004)
  • 收稿日期:2020-11-18 修回日期:2021-03-14 发布日期:2022-01-20
  • 作者简介:周旦(1978—),男,江西修水人,副教授,博士,主要从事混合交通控制方面的研究。E-mail:8697992@qq.com
  • 基金资助:
    国家自然科学基金项目(71861005;61963011)

Risky Driving Behavior of E-Bike Based on Multiple Regression Analysis

ZHOU Dan, CHANG Mengying, GU Guobin, LI Wenyong   

  1. (School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China)
  • Received:2020-11-18 Revised:2021-03-14 Published:2022-01-20

摘要: 为明确电动自行车驾驶员风险驾驶行为对驾驶安全性的影响,结合桂林市问卷调查,采用复回归分析法建立模型,基于安全知识、安全态度和风险感知这3个尺度,对风险驾驶行为的影响程度进行了研究。通过建模分析发现:“责任态度”“群体行为态度”“担忧与关心尺度”可解释侵略行为60.1%的变异;疏忽行为48.5%的变异是由“年龄”“安全知识”和“责任态度”引起的;违规行为55%的变异是由“年龄”“违规态度”“群体行为态度”和“担忧与关心尺度”引起的。结果表明:明显的“群体行为态度”显著影响着侵略行为发生;安全知识对于非蓄意疏忽行为呈显著负向影响,但对于蓄意性的违规行为及侵略行为没有显著影响。

关键词: 交通工程;电动自行车;风险驾驶行为;复回归分析

Abstract: In order to clarify the impact of risky driving behavior of electric bicycle drivers on driving safety, combining with the questionnaire survey of Guilin city, the impact of safety knowledge, safety attitude and risk perception on risky driving behavior was studied by using multiple regression analysis. Through modeling analysis, it could be found that 60.1% of the variation of aggressive behavior could be explained by “responsibility attitude”, “group behavior attitude” and “worry and concern scale”; 48.5% of the variation of negligent behavior was caused by the variation of “age”, “safety knowledge” and “responsibility attitude”; 55% of the variation of illegal behavior was caused by the variation of “age”, “illegal attitude”, “group behavior attitude” and “worry and concern scale”. The results show that obvious “group behavior attitude” has a significant impact on the occurrence of aggressive behavior; safety knowledge has a significant negative impact on unintentional negligence, but it has little impact on intentional violations and aggressive behavior.

Key words: traffic engineering; electric bicycle; risky driving behavior; multiple regression analysis

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