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) ›› 2019, Vol. 38 ›› Issue (11): 118-126.DOI: 10.3969/j.issn.1674-0696.2019.11.19

• 交通运输工程 • 上一篇    下一篇

电动自行车风险驾驶行为因子分析及相关因素研究

王涛1,黎文皓1,谢思红1,陈峻2   

  1. (1. 桂林电子科技大学 建筑与交通工程学院,广西 桂林 541004; 2. 东南大学 交通学院,江苏 南京 210096)
  • 收稿日期:2018-05-02 修回日期:2018-11-13 出版日期:2019-11-21 发布日期:2019-11-21
  • 作者简介:王涛(1985—),男,江苏徐州人,副教授,博士,主要从事城市交通规划、交通安全、交通行为方面的研究。E-mail:wangtao@seu.edu.cn。 通信作者:陈峻(1972—),男,江苏无锡人,教授,主要从事交通规划与管理方面的研究。E-mail:chenjun@seu.edu.cn。
  • 基金资助:
    国家自然科学基金项目(71861006; 51638004);广西自然科学基金项目(2014GXNSFBA118255)

Factor Analysis and Related Factors Study on Electric Bicycle Risk Driving Behavior

WANG Tao1, LI Wenhao1, XIE Sihong1, CHEN Jun2   

  1. (1. School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, Guangxi, P. R. China; 2. School of Transportation, Southeast University, Nanjing 210096, Jiangsu, P. R. China)
  • Received:2018-05-02 Revised:2018-11-13 Online:2019-11-21 Published:2019-11-21

摘要: 为研究电动自行车风险驾驶行为结构,编制了电动自行车风险驾驶行为量表,获取573份有效问卷。对风险驾驶行为问卷进行探索性因子分析提取问卷的公共因子,提取后发现,电动自行车驾驶者风险感知构面由机率评估、担忧程度、危险程度3个因子构成;驾驶信心由技术能力、判断能力2个因子构成;安全态度由交通规则、安全责任、从众心理3个因子构成;风险驾驶行为由疏忽及失误、违规行为、侵略行为、获取领先等4个因子构成。通过各构面因子得分与驾驶者特征的关联性分析,主要结果如下:男性驾驶者违规行为和获取领先行为更频繁;随着年龄的增加驾驶者获取领先的行为减少,但违规行为增多;低学历驾驶者发生侵略性驾驶行为频率更高,高学历驾驶者发生违规行为频率更高;是否驾驶过机动车对风险驾驶行为无显著影响;驾驶频率越高的驾驶者对风险的感知越低,但其对安全的态度越正向。

关键词: 交通工程, 电动自行车, 风险驾驶行为, 因子分析, 因子得分

Abstract: In order to research the risk driving behavior of electric bicycle, the E-bike Rider Behavior Questionnaire (ERBQ) was compiled and 573 valid questionnaires were obtained. Exploratory factor analysis was carried out on the questionnaire of risk driving behavior to extract the public factors of the questionnaire. The results show that the risk perception of E-bike drivers is composed of three factors: probability assessment, worry degree and risk degree. Driving confidence is composed of two factors: technical ability and judgment ability. Safety attitude is composed of three factors: traffic rules, safety responsibility and herd mentality. Risk driving behavior is composed of four factors: negligence and error, illegal behavior, aggressive behavior and gaining leading position. The main results of the correlation analysis between the scores of each aspect factor and the characteristics of drivers are as follows: male drivers have more frequent illegal behaviors and leading behaviors; with the increase of age, drivers have less leading behaviors, but more illegal behaviors. Lower-educated drivers have more aggressive behaviors, while high-educated drivers have more illegal behaviors. Whether or not driving a motor vehicle before has no significant impact on risk driving behaviors. The higher the driving frequency, the lower the risk perception, but the more positive the safety attitude.

Key words: traffic engineering, electric bicycle, risk driving behaviour, factor analysis, factor score

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