The Influence Mechanism of Temporary and Frequent Users of Online Ride-hailing
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.
NETL
NSTL
万方数据
维普
