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智能手机使用行为对驾驶可靠性的影响模型
引用本文:傅志妍,陈坚,陈林. 智能手机使用行为对驾驶可靠性的影响模型[J]. 交通运输系统工程与信息, 2019, 19(5): 114-119
作者姓名:傅志妍  陈坚  陈林
作者单位:重庆交通大学交通运输学院,重庆400074;重庆第二师范学院经济与工商管理学院,重庆400067;重庆交通大学交通运输学院,重庆,400074;中冶赛迪工程技术股份有限公司,重庆,400013
基金项目:国家社会科学基金西部项目/National Social Science Foundation of China(17XGL009).
摘    要:为解决智能手机使用行为对驾驶安全影响过程缺少定量描述的问题,基于驾驶行为信息加工和注意分配理论,探索智能手机使用行为与驾驶可靠性的关联关系,提出7 个因果关系假设,构建涵盖视觉资源消耗、认知资源消耗、驾驶不可靠性等潜变量的智能手机使用行为影响的结构方程模型. 通过线上与线下相结合的方式进行驾驶人问卷调查,实证分析结果表明,视觉资源消耗(0.448)、认知资源消耗(0.256)对驾驶可靠性具有直接负向效应,信息输入、显示观看、语音通话及心理特征具有间接负向效应,其中显示观看(0.450)的效应最大.

关 键 词:智能交通  驾驶行为  注意分配  结构方程模型  可靠性
收稿时间:2019-01-17

Influence Model of Smart Phone Using Behavior on Driving Reliability
FU Zhi-yan,CHEN Jian,CHEN Lin. Influence Model of Smart Phone Using Behavior on Driving Reliability[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(5): 114-119
Authors:FU Zhi-yan  CHEN Jian  CHEN Lin
Affiliation:1. College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 2. College of Economics & Business Administration, Chongqing University of Education, Chongqing 400067, China; 3. CISDI Engineering Co., Ltd, Chongqing 400013, China
Abstract:There is the problem of lacking the quantitative description for the process that using smartphone can affect driving safety. Based on the theories of driving behavior information processing and attention distribution, this study aims to explore the relationship between smartphone using behavior and driving reliability. Seven causality hypotheses are proposed in this study to construct the structural equation model describing the process of how smartphone using behavior can affect driving safety. The latent variables explaining the driving safety include visual resource consumption, cognitive resource consumption, and driving unreliability. The dataset is obtained by online surveys and face-to-face questionnaire. The empirical analysis shows: visual resource consumption (0.448) and cognitive resource consumption (0.256) have direct negative effects on driving reliability; information input, display viewing, voice calls, and psychological features have an indirect negative effect on driving reliability of which the factor of viewing (0.450) has the greatest effect.
Keywords:intelligent transportation  driving behavior  attention distribution  structural equation model  reliability  
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