{"title":"Sustaining the relevance of transportation planning and forecasting in a fast-changing world","authors":"Steven E. Polzin, Irfan Batur, Ram M. Pendyala","doi":"10.1016/j.tranpol.2025.04.019","DOIUrl":null,"url":null,"abstract":"<div><div>Transportation planning and forecasting have long been essential in guiding investment and policy decisions and shaping transportation systems. However, rapid technological advancements, shifting societal values, and the lingering effects of the COVID-19 pandemic have challenged the relevance and accuracy of traditional forecasting models. This paper examines the evolving context of travel behavior, highlighting the limitations of existing models in capturing new trends such as telework, e-commerce, and induced demand. It advocates for the development of more dynamic, data-driven, and context-sensitive modeling approaches that can better accommodate these changes. The paper also discusses the need for planners and forecasters to engage with stakeholders to ensure that models remain effective tools for decision-making in an increasingly complex and uncertain world.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"168 ","pages":"Pages 279-287"},"PeriodicalIF":6.3000,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X25001611","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Transportation planning and forecasting have long been essential in guiding investment and policy decisions and shaping transportation systems. However, rapid technological advancements, shifting societal values, and the lingering effects of the COVID-19 pandemic have challenged the relevance and accuracy of traditional forecasting models. This paper examines the evolving context of travel behavior, highlighting the limitations of existing models in capturing new trends such as telework, e-commerce, and induced demand. It advocates for the development of more dynamic, data-driven, and context-sensitive modeling approaches that can better accommodate these changes. The paper also discusses the need for planners and forecasters to engage with stakeholders to ensure that models remain effective tools for decision-making in an increasingly complex and uncertain world.
期刊介绍:
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.