Travelers' Choice Behavior of Car Sharing Based on Hybrid Choice Model

被引：0
|
作者：
Ju P. [1 ]
Zhou J. [1 ]
Xu H.-L. [1 ]
Zhang J.-T. [1 ]
机构：
[1] School of Management and Engineering, Nanjing University, Nanjing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2017年 / 17卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Car sharing; Hybrid choice model; Latent variable; Traffic engineering; Travel mode choice;
D O I：
10.16097/j.cnki.1009-6744.2017.02.002
中图分类号：
学科分类号：
摘要：
In order to analyze travelers' choice behavior of car sharing, this paper constructs a hybrid choice model for the choice behavior of car sharing, according to the expanded theory of planned behavior and technology acceptance model with variety of psychological factors which respect to the choice behavior of car sharing. Based on the empirical survey data of Nanjing in China, the integrated hybrid choice model is utilized to estimate these relationships. The results show that the psychological latent variables have significant positive impact on the choice behavior of car sharing, such as perceived usefulness, perceived ease of use, attitude and perception behavioral control. The outcome of estimation of HCM has a higher degree of fitting than the traditional MNL without latent variables. Copyright © 2017 by Science Press.
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页码：7 / 13
页数：6
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