当前位置: 首页> 国外交通期刊数据库 >详情
原文传递 Modeling Mode Choice Behaviors for Public Transport Commuters in Beijing
题名: Modeling Mode Choice Behaviors for Public Transport Commuters in Beijing
其他题名: Abane,A.1993."Mode choice for the journey to work among formal sector employees in Accra,Ghana."J.Transp.Geogr.1(4):219-229.https://doi.org/10.1016/0966-6923(93)90046-3.
正文语种: 英文
作者: Jiancheng Weng
关键词: Public transport;Commuting trip;Binary-logit model;Support vector machine;Travel choice
摘要: Based on an analysis of the factors that influence the mode choice behaviors of commuters who use public transport (subways and buses), this study developed a questionnaire using a combination of revealed preference (RP) and stated preference (SP) techniques; both online and paper surveys were conducted to gather commuters' travel choices between subways and buses. A binary logit (BL) specification was proposed to examine public transport commuters' travel choices. The regression coefficients were estimated using maximum likelihood estimation. Finally, based on the data obtained from Beijing public transport smart cards, a support vector machine (SVM) classification model was established to identify commuters' mode choices, and the accuracy was found to be as high as 94.24%. The estimated mode choice model was employed to predict the market shares of both subways and buses after a new fare scheme was implemented. The results showed that the model had high prediction accuracy: the average absolute error for predicting the market share of buses was 5.93%.
出版年: 2018
论文唯一标识: P-84Y2018V144N03014
英文栏目名称: CASE STUDIES
doi: 10.1061/(ASCE)UP.1943-5444.0000459
期刊名称: Journal of Urban Planning and Development
拼音刊名(出版物代码): P-84
卷: 144
期: 03
页码: 152-160
检索历史
应用推荐