{"title":"Weibit choice models: Properties, mode choice application and graphical illustrations","authors":"Yu Gu , Anthony Chen , Songyot Kitthamkesorn","doi":"10.1016/j.jocm.2022.100373","DOIUrl":null,"url":null,"abstract":"<div><p>This study presents the properties of the weibit travel choice model (which was newly developed in 2008) and its applications in transportation research. The weibit model uses a Weibull-distributed random error term, relaxing the identically distributed assumption to derive the closed-form choice probability expression. The properties and advantages of the weibit model are graphically illustrated by comparisons with the commonly used logit model. The relationship between the weibit and logit models are discussed in the transportation context. The applications of weibit models to transportation research are exemplified based on the mode choice modeling in various transportation networks incorporating emerging technologies. The study reveals that weibit models have attractive features for evaluating and planning future transportation systems.</p></div>","PeriodicalId":46863,"journal":{"name":"Journal of Choice Modelling","volume":"44 ","pages":"Article 100373"},"PeriodicalIF":2.8000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Choice Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755534522000306","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 5
Abstract
This study presents the properties of the weibit travel choice model (which was newly developed in 2008) and its applications in transportation research. The weibit model uses a Weibull-distributed random error term, relaxing the identically distributed assumption to derive the closed-form choice probability expression. The properties and advantages of the weibit model are graphically illustrated by comparisons with the commonly used logit model. The relationship between the weibit and logit models are discussed in the transportation context. The applications of weibit models to transportation research are exemplified based on the mode choice modeling in various transportation networks incorporating emerging technologies. The study reveals that weibit models have attractive features for evaluating and planning future transportation systems.
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