中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊
重庆交通大学学报（自然科学版）

重庆交通大学学报（自然科学版） ›› 2022, Vol. 41 ›› Issue (07): 46-50.DOI: 10.3969/j.issn.1674-0696.2022.07.08

• 交通+大数据人工智能 • 上一篇    下一篇

基于潜变量的出行者出租车与网约快车选择研究

司杨1，关宏志2   

  1. (1. 北京航空航天大学 交通科学与工程学院，北京 102206； 2. 北京工业大学 交通工程北京市重点实验室，北京 100124)
  • 收稿日期:2021-07-13 修回日期:2022-05-26 发布日期:2022-07-25
  • 作者简介:司杨(1989—)，男，山东济南人，博士后，主要从事交通规划方面的研究。E-mail：siyang@buaa.edu.cn 通信作者：关宏志(1959—)，男，黑龙江牡丹江人，教授，博士，主要从事交通规划方面的研究。E-mail：hguan@bjut.edu.cn
  • 基金资助:
    国家自然科学基金项目(71971005，U1811463)；北京市自然科学基金项目(8202003)

Travelers Choice of Taxi and Online Car-Hailing Based on Latent Variable

SI Yang1, GUAN Hongzhi2   

  1. (1. School of Transportation Science and Engineering, Beihang University, Beijing 102206, China； 2. Beijing Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100124, China)
  • Received:2021-07-13 Revised:2022-05-26 Published:2022-07-25

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摘要： 为研究潜变量对出行者选择行为意向的影响机理，以出租车和网约快车为例，选择方便性、安全性、可靠性、舒适性、经济性为外生潜变量，知觉价值、行为意向为内生潜变量，设计了出行者出行方式选择行为调查问卷，进行网上调查；建立了结构方程模型（SEM），研究了出行者出行方式选择行为与各潜变量之间的关系。结果表明：知觉价值对出行者出行方式选择行为意向有显著正影响，经济性和舒适性是影响知觉价值的重要因素；出行者在选择出租车出行时，更加注重方便性，在选择网约快车出行时，更加注重安全性。

关键词: 交通工程；出租车；网约快车；潜变量

Abstract: In order to study the influence mechanism of latent variables on travelers choice behavior intention, taxi and online car-hailing were taken as examples. Convenience, safety, reliability, comfort and economy were selected as exogenous latent variables, while perceived value and behavioral intention were endogenous latent variables. A willingness questionnaire of trip mode choice was designed and surveyed through web, and a structural equation model (SEM) was established. The relationship between travelers travel mode selecting behavior and various latent variables was studied. The results show that the perceived value has a significant positive effect on travelers behavioral intention, and economy and comfort are important factors that affect the perceived value. Travelers pay more attention to the convenience when choosing taxis and pay more attention to safety when choosing online car-hailing.

Key words: traffic engineering；taxi；online car-hailing；latent variable

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