网约车感知等待时间判别模型及影响因素分析

胡三根; 李春; 杨莹; 王小霞

doi:10.12052/gdutxb.220102

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网约车感知等待时间判别模型及影响因素分析

更新时间：2026-05-27

- 网约车感知等待时间判别模型及影响因素分析
- A Discriminant Model and Influencing Factors of Perceived Waiting Time of Online Car-hailing
- 广东工业大学学报 2023年40卷第3期页码：1-9
- 作者机构：
  
  广东工业大学土木与交通工程学院,广东,广州,510006
- 作者简介：
  
  胡三根(1989–) ，男，讲师，博士，主要研究方向为交通系统建模与仿真
  王小霞(1981–) ，女，副教授，博士，主要研究方向为交通运输规划、交通行为，E-mail：wxx@gdut.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(61803092);广东工业大学青年基金资助重点项目(18QNZD003);大学生创新创业训练项目(xj2022118450361)
- DOI：10.12052/gdutxb.220102
  中图分类号： U491
- 网络首发：2023-05-25，
  
  纸质出版：2023
- 稿件说明：
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胡三根, 李春, 杨莹, 王小霞. 网约车感知等待时间判别模型及影响因素分析[J]. 广东工业大学学报, 2023, 40(3): 1-9.

Hu San-gen, Li Chun, Yang Ying, et al. A Discriminant Model and Influencing Factors of Perceived Waiting Time of Online Car-hailing[J]. 2023, 40(3): 1-9.
胡三根, 李春, 杨莹, 王小霞. 网约车感知等待时间判别模型及影响因素分析[J]. 广东工业大学学报, 2023, 40(3): 1-9. DOI： 10.12052/gdutxb.220102.

Hu San-gen, Li Chun, Yang Ying, et al. A Discriminant Model and Influencing Factors of Perceived Waiting Time of Online Car-hailing[J]. 2023, 40(3): 1-9. DOI： 10.12052/gdutxb.220102.

摘要

作为社会出行的重要组成部分，大学生早已成为网约车行业的主要用户对象，探究大学生等候网约车到达时间的感知行为，对进一步推动网约车新业态规范发展是十分必要的。首先，在线调查492位大学生的候车行为和感知状态；然后，使用Cronbach’s

$ \alpha $

img text_id='Z-20230506171009' class='formula-img' style='display:none;' src='gdgydxxb-40-3-1_Z-20230506171009.jpg'>

和验证性因子分析检验问卷的信效度；最后，将感知时间划分为3个分类，采用判别分析方法，建立网约车感知等待时间判别模型，并对判别分类结果及其影响因素进行了实证分析。研究发现，个人特征、环境因素、候车行为以及移动设备四个因素所包含的35个变量都会影响感知等待时间；在同组分类函数中，候车行为对感知等待时间的影响最大，其次是环境因素，最低是移动设备。研究结果为探究影响大学生感知等待时间长度的具体因素及潜在心理提供了有效支撑，为有效提高网约车的服务水平和吸引力提供了一定的理论价值和现实指导意义。

Abstract

As an important part of social travel

college students have long become the main users of the online car-hailing industry. It is highly necessary to explore the perceived behavior of college students waiting for the arrival time of online car-hailing to promote the new standardized development of online car-hailing industry. Firstly

an online questionnaire was conducted among 492 college students about their waiting behavior and perceived state. Second

Cronbach's

$ \alpha $

img text_id='Z-20230506171016' class='formula-img' style='display:none;' src='gdgydxxb-40-3-1_Z-20230506171016.jpg'>

and confirmatory factor analysis were used to test the reliability and validity of the questionnaire. Finally

the perceived time is divided into three categories

and a discriminant model of the perceived waiting time of ride-hailing vehicles is established based on the discriminant analysis method. Classification results and influencing factors of the discriminant analysis are empirically analyzed. It is found that these 35 variables contained in the four factors of personal characteristics

environmental factors

waiting behavior and mobile devices will affect the perceived waiting time. In the same group of classification functions

waiting behavior has the greatest impact on perceived waiting time

followed by environmental factors

and the lowest is mobile devices. The research results provide effective support for exploring the specific factors and potential psychology affecting college students' perceived waiting time

and provide certain theoretical value and practical guidance for effectively improving the service level and attraction of online car-hailing.

关键词

Keywords

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