共享自动驾驶汽车使用意愿模型及其影响因素

doi:10.12068/j.issn.1005-3026.2021.07.021

东北大学学报（自然科学版） ›› 2021, Vol. 42 ›› Issue (7): 1057-1064.DOI: 10.12068/j.issn.1005-3026.2021.07.021

• 管理科学 • 上一篇

共享自动驾驶汽车使用意愿模型及其影响因素

霍月英^1,2，郭晨¹，朱援¹，冯晨曦¹

(1.内蒙古大学交通学院，内蒙古呼和浩特010070； 2.内蒙古大学数学科学学院，内蒙古呼和浩特010021)

修回日期:2020-11-29 接受日期:2020-11-29 发布日期:2021-07-16
通讯作者: 霍月英
作者简介:霍月英(1985-)，女，内蒙古凉城人，内蒙古大学副教授，博士后研究人员.
基金资助:
国家自然科学基金资助项目(52062039，51668048)；中国博士后科学基金资助项目(2019M651089).

Use Intention Model of Shared Autonomous Vehicles and Its Impact Factors

HUO Yue-ying^1,2， GUO Chen¹， ZHU Yuan¹， FENG Chen-xi¹

1.Transportation Institute， Inner Mongolia University， Hohhot 010070， China; 2.School of Mathematical Science， Inner Mongolia University， Hohhot010021， China.

Revised:2020-11-29 Accepted:2020-11-29 Published:2021-07-16
Contact: GUO Chen
About author:-
Supported by:
-

摘要/Abstract

摘要： 为了构建共享自动驾驶汽车(shared autonomous vehicles，SAV) 的使用意愿模型并分析其影响因素，通过使用时机和使用频率来体现公众对SAV的使用意愿；采用验证性因子分析将态度潜变量转化为潜变量得分，以此将态度潜变量引入传统的有序Logit模型；提出SAV使用意愿的有序Logit模型构建方法，并建立基于个人属性、通勤特征、态度潜变量的SAV使用意愿模型.研究发现:是否使用过滴滴拼车、工作单位停车费、自动驾驶态度对使用时机和3种价格(1，2，3元/km) 下的使用频率有显著影响；使用过滴滴拼车、工作单位收取停车费、支持自动驾驶的群体倾向于频繁地、更早地使用SAV出行；公众期望以1元/km或 2元/km即不超过目前滴滴拼车的价格使用SAV.

关键词: 共享自动驾驶汽车；使用意愿；有序Logit模型；使用频率；使用时机；态度潜变量

Abstract: In order to construct the use intention model of shared autonomous vehicles(SAV) and analyze its impact factors， use timing and use frequency were used to reflect the use intention for SAV. The attitude latent variables were converted into scores using confirmatory factor analyses and they were introduced into the traditional ordered Logit model. The method of modeling SAV use intention by using the ordered Logit models was proposed. Taking personal attributes， commuting characteristics and attitude latent variables as explanatory variables， the SAV use intention models were established. The results showed that the factors such as whether or not to use carpooling like Didi， paying parking fees at the work place and autonomous vehicles(AV) attitude have significant impacts on use timing and use frequency at different prices(1，2 and 3 yuan/km); the groups that use carpooling like Didi， pay parking fees at the work place and support AV tend to use SAV more frequently and earlier in future; the publics expect to use SAV at a price lower than the current price of the carpooling， i.e.1 or 2 yuan/km.

Key words: shared autonomous vehicles(SAV); use intention; ordered Logit model; use frequency; use timing; attitude latent variable

中图分类号:

U121

霍月英，郭晨，朱援，冯晨曦. 共享自动驾驶汽车使用意愿模型及其影响因素[J]. 东北大学学报（自然科学版）, 2021, 42(7): 1057-1064.

HUO Yue-ying， GUO Chen， ZHU Yuan， FENG Chen-xi. Use Intention Model of Shared Autonomous Vehicles and Its Impact Factors[J]. Journal of Northeastern University(Natural Science), 2021, 42(7): 1057-1064.

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共享自动驾驶汽车使用意愿模型及其影响因素

Use Intention Model of Shared Autonomous Vehicles and Its Impact Factors

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