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智构面由机率评估、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杵待征的关联性分析,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。
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.Iqwer 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.
作者
王涛
黎文皓
谢思红
陈峻
WANG Tao;LI Wenhao;XIE Sihong;CHEN Jun(School of Architecture and Transportation Engineering,Guilin University of Electronic Technology,Guilin 541004,Guangxi,P.R.China;School of Transportation,Southeast University,Nanjing 210096,Jiangsu,P.R.China)
出处
《重庆交通大学学报（自然科学版）》
CAS
CSCD
北大核心
2019年第11期118-126,共9页
Journal of Chongqing Jiaotong University(Natural Science)
基金
国家自然科学基金项目(71861006
51638004)
广西自然科学基金项目(2014GXNSFBA118255)
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
traffic engineering
electric bicycle
risk driving behaviour
factor analysis
factor score
