Tao Wang , Tao Wang , Peng Liao , Feng Cao , Tie-Qiao Tang , Donghong Ning
{"title":"Diverging and merging of household and individual commuter flows in morning commute problem","authors":"Tao Wang , Tao Wang , Peng Liao , Feng Cao , Tie-Qiao Tang , Donghong Ning","doi":"10.1016/j.tranpol.2025.04.013","DOIUrl":null,"url":null,"abstract":"<div><div>The morning and evening peak hours warrant substantial academic investigation. The primary purposes of commuting during peak hours are typically for school and work. School locations often deviate from the primary home-to-work commuting corridors, thus leading to the diverging and merging of commuting flow. To investigate the traffic system, this study focused on the commuting system in a “triangle with a tail” network. This traffic system is complicated, and we analyzed it from the perspectives of traffic flow and travel behavior.</div><div>This study investigated the impact of school and company scheduling on commuters’ departure decisions and travel costs, considering various ratios of heterogeneous commuter demands. It derived the equilibrium travel patterns for both household and individual commuters during morning commutes within the network. We found that a Pareto improving strategy for the transportation system exists in some cases; and the capacity expansion paradox can be avoided with an appropriate staggering. When considering costs, governments can make decisions about whether or not to expand roads. These analyses and findings can shed light on the policy-making of the traffic system with household and individual commuters.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 101-115"},"PeriodicalIF":6.3000,"publicationDate":"2025-04-30","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/S0967070X25001490","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
The morning and evening peak hours warrant substantial academic investigation. The primary purposes of commuting during peak hours are typically for school and work. School locations often deviate from the primary home-to-work commuting corridors, thus leading to the diverging and merging of commuting flow. To investigate the traffic system, this study focused on the commuting system in a “triangle with a tail” network. This traffic system is complicated, and we analyzed it from the perspectives of traffic flow and travel behavior.
This study investigated the impact of school and company scheduling on commuters’ departure decisions and travel costs, considering various ratios of heterogeneous commuter demands. It derived the equilibrium travel patterns for both household and individual commuters during morning commutes within the network. We found that a Pareto improving strategy for the transportation system exists in some cases; and the capacity expansion paradox can be avoided with an appropriate staggering. When considering costs, governments can make decisions about whether or not to expand roads. These analyses and findings can shed light on the policy-making of the traffic system with household and individual commuters.
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.