Heng Zhou , Jiale Qiao , Weiwei Li , Richard Norman , Zhigang Yao
{"title":"了解大学生游客的旅行选择:潜类嵌套对数模型的经济意义","authors":"Heng Zhou , Jiale Qiao , Weiwei Li , Richard Norman , Zhigang Yao","doi":"10.1016/j.retrec.2024.101494","DOIUrl":null,"url":null,"abstract":"<div><div>In the post-pandemic context, there is a notable lack of in-depth investigation on transport attributes influencing college student tourists' mode choices for medium to long-distance journeys. Based on the stated-preference survey data, this study addresses this oversight by developing latent class nested logit models to simultaneously accommodate individuals' preference heterogeneity and the potential substitution effects among coach, normal-speed train, high-speed train, and airline. Two distinct latent market segments were identified: <em>Pro-convenience</em> and <em>Pro-experience</em>, each displaying unique travel preferences measured by elasticity, first difference and willingness-to-pay. Influential factors in mode choice were found to be travel cost, access time, in-vehicle time, service frequency, and seat comfort, while females showing a higher preference for seat comfort. Advance arrival time, defined as the pre-departure waiting period at the station or airport, was found to be an insignificant factor for student travellers' mode choices. Our findings both support and challenge existing theories in consumer travel behaviour. This research provides nuanced insights into college student tourists' mode choices, proposing practical strategies for enhancing low-carbon public transportation, therefore facilitating the transportation, tourism and environmental sustainability.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"108 ","pages":"Article 101494"},"PeriodicalIF":4.6000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding college student tourists' travel choices: Economic implications from latent class nested logit modelling\",\"authors\":\"Heng Zhou , Jiale Qiao , Weiwei Li , Richard Norman , Zhigang Yao\",\"doi\":\"10.1016/j.retrec.2024.101494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the post-pandemic context, there is a notable lack of in-depth investigation on transport attributes influencing college student tourists' mode choices for medium to long-distance journeys. Based on the stated-preference survey data, this study addresses this oversight by developing latent class nested logit models to simultaneously accommodate individuals' preference heterogeneity and the potential substitution effects among coach, normal-speed train, high-speed train, and airline. Two distinct latent market segments were identified: <em>Pro-convenience</em> and <em>Pro-experience</em>, each displaying unique travel preferences measured by elasticity, first difference and willingness-to-pay. Influential factors in mode choice were found to be travel cost, access time, in-vehicle time, service frequency, and seat comfort, while females showing a higher preference for seat comfort. Advance arrival time, defined as the pre-departure waiting period at the station or airport, was found to be an insignificant factor for student travellers' mode choices. Our findings both support and challenge existing theories in consumer travel behaviour. This research provides nuanced insights into college student tourists' mode choices, proposing practical strategies for enhancing low-carbon public transportation, therefore facilitating the transportation, tourism and environmental sustainability.</div></div>\",\"PeriodicalId\":47810,\"journal\":{\"name\":\"Research in Transportation Economics\",\"volume\":\"108 \",\"pages\":\"Article 101494\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Transportation Economics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0739885924000891\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Economics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0739885924000891","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Understanding college student tourists' travel choices: Economic implications from latent class nested logit modelling
In the post-pandemic context, there is a notable lack of in-depth investigation on transport attributes influencing college student tourists' mode choices for medium to long-distance journeys. Based on the stated-preference survey data, this study addresses this oversight by developing latent class nested logit models to simultaneously accommodate individuals' preference heterogeneity and the potential substitution effects among coach, normal-speed train, high-speed train, and airline. Two distinct latent market segments were identified: Pro-convenience and Pro-experience, each displaying unique travel preferences measured by elasticity, first difference and willingness-to-pay. Influential factors in mode choice were found to be travel cost, access time, in-vehicle time, service frequency, and seat comfort, while females showing a higher preference for seat comfort. Advance arrival time, defined as the pre-departure waiting period at the station or airport, was found to be an insignificant factor for student travellers' mode choices. Our findings both support and challenge existing theories in consumer travel behaviour. This research provides nuanced insights into college student tourists' mode choices, proposing practical strategies for enhancing low-carbon public transportation, therefore facilitating the transportation, tourism and environmental sustainability.
期刊介绍:
Research in Transportation Economics is a journal devoted to the dissemination of high quality economics research in the field of transportation. The content covers a wide variety of topics relating to the economics aspects of transportation, government regulatory policies regarding transportation, and issues of concern to transportation industry planners. The unifying theme throughout the papers is the application of economic theory and/or applied economic methodologies to transportation questions.