Influence Model of Social Network Traffic Information on the Travel Mode Choice Behavior

被引：0
|
作者：
Fu Z.-Y. [1 ]
Zhao H.-L. [2 ]
Chen J. [3 ]
Yu M. [3 ]
机构：
[1] College of Economics & Business Administration, Chongqing University of Education, Chongqing
[2] Chongqing City Communication Research Institute Co., Ltc, Chongqing
[3] College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2019年 / 19卷 / 02期
关键词：
Choice behavior; Hybrid model; Latent variable; Social network; Urban traffic;
D O I：
10.16097/j.cnki.1009-6744.2019.02.004
中图分类号：
学科分类号：
摘要：
This study mainly deals with the problem of quantitatively measuring the influence of social network traffic information on travel mode choice behavior. According to the Technology Acceptance Model, 7 latent variables, including perceived usefulness, perceived usability, perceived risk etc., are proposed as the perceived variables of travelers on social network traffic information. A hybrid discrete travel mode choice model is constructed by combining personal attribute variables and travel plan variables with social network traffic information. The empirical analysis is conducted using the questionnaire of Chongqing city in China. The results from the hybrid model show an improvement of 0.171 in goodness of fit. The variable of perceived risk shows negative effect on the travel mode choice, while the other variables show positive effect. The three variables of perceived usefulness, subjective norm, and perceived trust show the most significant effect on the selection, of which the coefficients are 0.757, 0.646 and 0.502 respectively. Copyright © 2019 by Science Press.
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页码：22 / 29
页数：7
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