{"title":"Modeling mode choice behavior of postsecondary students in large metropolitan area: A dynamic tour-based approach","authors":"Nishat Naila Meghna, Md Sami Hasnine","doi":"10.1016/j.tbs.2024.100944","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on the tour-based mode choice pattern of the post-secondary students of the Greater Toronto and Hamilton Area (GTHA). The data for this study was collected from a detailed online-based survey in the GTHA. Based on the survey data, the mode choice model for two-trip tours and three-trip tours is estimated using a dynamic discrete choice modeling approach. The model results capture the complicated travel behavior of the students of this area, and it is seen that travel time, distance, cost, and personal preferences influence a student to make the decision as to which tour-mode combination they would choose for different types of tours. International students are seen to choose transit more over driving. Students going to urban institutions are flexible in taking both driving and transit, and it is similar for part-time students too. Female students have mode choice preferences based on their age range. Female students who are comparatively younger are flexible in taking transit, whereas relatively aged female students prefer driving more. Policy scenario analysis reveals an interesting trend in mode choice preference. In any unavoidable situation, students’ preference changes from taking transit to driving if travel distance increases but an increment in travel time makes them shift toward taking transit instead of driving.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"39 ","pages":"Article 100944"},"PeriodicalIF":5.1000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X24002072","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
This paper focuses on the tour-based mode choice pattern of the post-secondary students of the Greater Toronto and Hamilton Area (GTHA). The data for this study was collected from a detailed online-based survey in the GTHA. Based on the survey data, the mode choice model for two-trip tours and three-trip tours is estimated using a dynamic discrete choice modeling approach. The model results capture the complicated travel behavior of the students of this area, and it is seen that travel time, distance, cost, and personal preferences influence a student to make the decision as to which tour-mode combination they would choose for different types of tours. International students are seen to choose transit more over driving. Students going to urban institutions are flexible in taking both driving and transit, and it is similar for part-time students too. Female students have mode choice preferences based on their age range. Female students who are comparatively younger are flexible in taking transit, whereas relatively aged female students prefer driving more. Policy scenario analysis reveals an interesting trend in mode choice preference. In any unavoidable situation, students’ preference changes from taking transit to driving if travel distance increases but an increment in travel time makes them shift toward taking transit instead of driving.
期刊介绍:
Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.