网约车临时用户和长期用户出行行为影响机理
The Influence Mechanism of Temporary and Frequent Users of Online Ride-hailing
李志成 1邓欣宇 1赵紫艳 1高语笛1
作者信息
- 1. 南京林业大学,江苏 南京 210037
- 折叠
摘要
近年来,滴滴和优步等网约车平台的出现给城市居民出行带来了新的选择,然而对于网约车使用频率不同的用户来说,往往有着不同的影响因素.为了探索网约车临时用户和长期用户使用频次的影响机理,通过问卷调查收集网约车用户出行行为数据,采用多元有序Logit模型探索网约车出行频次的影响因素.结果表明:有无私家车、出行时刻、性别、职业、月收入和是否拥有网约车会员对网约车使用频次有显著影响.在拥有网约车会员的出行者中,63%为长期用户,而其中又有63%的长期用户没有私家车,可以看出大部分拥有网约车会员的长期用户将网约车作为主要的出行方式.
Abstract
In recent years,the emergence of online ride-hailing platforms such as Didi and Uber has brought new options for urban residents to travel.However,for users with different frequencies of online ride-hailing use,there are often different influencing factors.In order to explore t influential factors of temporary and frequent users of online ride-hailing,we collected the travel behaviour data of users through a questionnaire survey.We used a multivariate and ordered Logit model to analyse the influential factors of travel fre-quency.The results show that whether you own a car,travel time,occupation,monthly income and whether you are a VIP member of on-line ride-hailing have a significant impact on the frequency.Commuters with VIP members who do not own a car will use online ride-hailing service in rush hours.The research results can support and help the operation and management of transportation network com-panies.
关键词
网约车/影响机理/用户出行/有序多元Logit分析Key words
online ride-hailing/influence mechanism/users travel/odered multivariate Logit analysis引用本文复制引用
基金项目
南京林业大学大学生创新计划(2022NFUSPITP0350)
出版年
2024
NETL
NSTL
维普
万方数据