{"title":"Understanding the emerging interregional travel amid shifting societal and technological trends","authors":"Yang Li, Ming Zhang","doi":"10.1016/j.tbs.2025.101133","DOIUrl":null,"url":null,"abstract":"<div><div>This study examined interregional travel, a submarket of long-distance travel (LDT) ranging from 50 to 600 miles (80–966 km) one-way. As personal travel extends beyond neighboring metropolitan regions, it is crucial to understand interregional travel and necessitate appropriate transportation investments. Utilizing data from multiple U.S. National Household Travel Surveys (NHTSs), this study explored historical/national travel trends to derive a working definition of interregional travel. The study then applied a zero-inflated ordered probit model to overcome the constraints of NHTS data to analyze interregional travel behavior. This study profiled four traveler groups segmented by travel purposes and travel regimes and investigated the impacts of socioeconomic determinants of interregional tour generation and frequency. Specifically, age, wage, vehicle ownership, and living location influenced both tour generation and tour frequency, and employment status influenced tour generation. The derived person tour generation rate offers new insights to support travel demand analysis for interregional travel. The findings shed light on the understanding of interregional tour-making, suggest future NHTS data collection and analysis, and inform targeted transportation investments and policy deliberations on interregional transportation planning.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"42 ","pages":"Article 101133"},"PeriodicalIF":5.7000,"publicationDate":"2025-09-16","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/S2214367X25001516","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 study examined interregional travel, a submarket of long-distance travel (LDT) ranging from 50 to 600 miles (80–966 km) one-way. As personal travel extends beyond neighboring metropolitan regions, it is crucial to understand interregional travel and necessitate appropriate transportation investments. Utilizing data from multiple U.S. National Household Travel Surveys (NHTSs), this study explored historical/national travel trends to derive a working definition of interregional travel. The study then applied a zero-inflated ordered probit model to overcome the constraints of NHTS data to analyze interregional travel behavior. This study profiled four traveler groups segmented by travel purposes and travel regimes and investigated the impacts of socioeconomic determinants of interregional tour generation and frequency. Specifically, age, wage, vehicle ownership, and living location influenced both tour generation and tour frequency, and employment status influenced tour generation. The derived person tour generation rate offers new insights to support travel demand analysis for interregional travel. The findings shed light on the understanding of interregional tour-making, suggest future NHTS data collection and analysis, and inform targeted transportation investments and policy deliberations on interregional transportation planning.
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.