{"title":"Within-day variation in the rebound effect from fuel efficiency standards and implications for road congestion","authors":"Cody Nehiba","doi":"10.1016/j.tra.2025.104588","DOIUrl":null,"url":null,"abstract":"<div><div>Travel demand and congestion fluctuate throughout the day, but temporal heterogeneity in travel demand elasticities is often overlooked. I estimate within-day variation in the fuel economy elasticity of travel demand, illustrating the timing of the rebound effect — when higher fuel efficiency standards increase mileage by decreasing per-mile costs. Using multiple empirical strategies and data sets, I find that drivers are most elastic during peak demand periods that coincide with morning and evening commuting hours. Mode switching for shorter commute trips in areas with low-cost alternatives appears to drive much of the within-day heterogeneity. Further, accounting for temporal heterogeneity in the rebound effect has the potential to determine whether the congestion costs of a fuel economy improvement exceed the pollution benefits.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"199 ","pages":"Article 104588"},"PeriodicalIF":6.8000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part A-Policy and Practice","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965856425002162","RegionNum":1,"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
Travel demand and congestion fluctuate throughout the day, but temporal heterogeneity in travel demand elasticities is often overlooked. I estimate within-day variation in the fuel economy elasticity of travel demand, illustrating the timing of the rebound effect — when higher fuel efficiency standards increase mileage by decreasing per-mile costs. Using multiple empirical strategies and data sets, I find that drivers are most elastic during peak demand periods that coincide with morning and evening commuting hours. Mode switching for shorter commute trips in areas with low-cost alternatives appears to drive much of the within-day heterogeneity. Further, accounting for temporal heterogeneity in the rebound effect has the potential to determine whether the congestion costs of a fuel economy improvement exceed the pollution benefits.
期刊介绍:
Transportation Research: Part A contains papers of general interest in all passenger and freight transportation modes: policy analysis, formulation and evaluation; planning; interaction with the political, socioeconomic and physical environment; design, management and evaluation of transportation systems. Topics are approached from any discipline or perspective: economics, engineering, sociology, psychology, etc. Case studies, survey and expository papers are included, as are articles which contribute to unification of the field, or to an understanding of the comparative aspects of different systems. Papers which assess the scope for technological innovation within a social or political framework are also published. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions.
Part A''s aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.