信息诱导对交叉口驾驶行为影响
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作者单位:

(1. 城市交通复杂系统理论与技术教育部重点实验室(北京交通大学), 北京 100044; 2.北京首都国际机场股份有限公司,北京 100621)

作者简介:

王雨桐(1994—),女,硕士研究生; 陈旭梅(1974—),女,教授,博士生导师

通讯作者:

陈旭梅,xmchen@bjtu.edu.cn

中图分类号:

U121

基金项目:

国家自然科学基金(71373018)


Influence of information guidance system on driving behavior at intersections
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Affiliation:

(1.MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology(Beijing Jiaotong University), Beijing 100044, China; 2.Beijing Capital International Airport Co., Ltd., Beijing 100621, China)

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    摘要:

    为提高驾驶员对诱导信息的采用意愿, 基于结构方程模型(structural equation modeling, SEM)及改进式科技接受模型(technology acceptance model, TAM)思想, 构建了驾驶行为影响研究模型, 在已有研究基础上确定驾驶员对交叉口处诱导信息采用意向的影响因素, 可分为个体因素、系统(信息)因素及环境因素.通过对北京市驾驶员进行偏好调查得到1 544份有效样本数据, 对模型进行辨识及修正, 并利用统计分析方法验证模型假设.结果表明:交叉口诱导信息的采用意向受驾驶员对信息的感知有用性、对信息的信任程度及交叉口交通状况(环境)直接影响, 研究结果对提高诱导信息的服务效率具有重要的指导意义

    Abstract:

    This paper is intended to study the impacts of information guidance system on driving behavior at intersections. Using the structural equation model (SEM) and the improved technology acceptance model (TAM), a method was proposed to analyze the impacts on the driving behavior. On the basis of literature review, the factors that affect drivers' preference to the guidance information at intersections were determined. The factors can be divided into individual factors, system (or information) factors, and environmental factors. 1 544 valid samples were obtained with the preference survey of the drivers in Beijing, and the proposed model was examined and refined. Then, statistical methods were used to verify the hypothesis of the proposed model. The results have shown that perceived usefulness of the information, credibility of the information, and traffic conditions mainly affect the drivers' preference to the guidance information. The study provides supports to improve the efficiency of the information guidance system

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引用本文

王雨桐,陈旭梅,孙小菲.信息诱导对交叉口驾驶行为影响[J].哈尔滨工业大学学报,2017,49(8):171. DOI:10.11918/j. issn.0367-6234.201703059

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  • 收稿日期:2017-03-11
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  • 在线发布日期: 2017-07-30
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