基于SEM模型的网约车乘客安全感知建模与分析

近年来,网约车快速发展,但其运行过程中隐藏的乘客安全问题愈发凸显.为探究乘客对于网约车乘坐过程的安全感知情况,利用鱼骨图将安全问题划分为交通安全、信息安全、人身财产安全3个维度,并以此为基础设计并进行问卷调查.为刻画不同潜变量之间的复杂关系,构建了基于结构方程模型(SEM)的逻辑框架,揭示了个人特征、事故经历、安全知识以及冒险倾向等因素对网约车乘客安全感知的影响路径及显著性.结果表明,乘客的安全知识、事故经历以及冒险倾向对网约车乘客的安全感知有显著的直接影响;性别、收入水平等个人特征亦显著影响网约车乘客的安全感知.研究结果可为网约车安全管理相关政策的制定提供理论依据. 

Modeling and an Analysis of Safety Perception of Online Car-hailing Passengers Based on a Structural Equation Model

In recent years,online car-hailing service has been developing rapidly.However,safety problems hidden in its operation is becoming increasingly prominent.In order to study safety perception of passengers,this paper illustrates safety problems from three perspectives using a fishbone diagram:traffic safety,information safety,and personal and property safety.Based on it,a questionnaire survey is designed and conducted.In order to present complex relationships between different latent variables,a logical framework based on structural equation model (SEM) is developed,which reveals influencing paths and significance of personal characteristics,accident experiences,safety knowledge,and risk propensity on safety perception of online car-hailing passengers.The results of SEM indicate that accident experiences,safety knowledge,and risk propensity of passengers have great influences on safety perception when they have online car-hailing.Personal characteristics such as gender and income also have impacts.The results can provide theoretical references for policy-making on safety management of online car-hailing.