Simone Daniotti, Vito D. P. Servedio, Johannes Kager, Aad Robben-Baldauf, Stefan Thurner
{"title":"Systemic risk approach to mitigate delay cascading in railway networks","authors":"Simone Daniotti, Vito D. P. Servedio, Johannes Kager, Aad Robben-Baldauf, Stefan Thurner","doi":"10.1038/s44333-024-00012-6","DOIUrl":null,"url":null,"abstract":"Delay cascades may significantly disrupt the regular operation of public transportation systems. What are the origins and processes involved in delay-spreading in public railway systems? How can delay propagation in national railway systems be efficiently managed with a minimum of effort? With a network-based systemic risk approach, we quantify the impact of trains on the system. This allows us to find which train assignments play the leading roles in transmitting delays to following trains. This identification of weak spots in the system now enables us to effectively reduce delay cascades by adding very few specific short-distance train services. Reducing delays encourages people to use public transportation, thereby lowering emissions and promoting sustainability. Agent-based simulations validate our results.","PeriodicalId":501714,"journal":{"name":"npj Sustainable Mobility and Transport","volume":" ","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44333-024-00012-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Sustainable Mobility and Transport","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44333-024-00012-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Delay cascades may significantly disrupt the regular operation of public transportation systems. What are the origins and processes involved in delay-spreading in public railway systems? How can delay propagation in national railway systems be efficiently managed with a minimum of effort? With a network-based systemic risk approach, we quantify the impact of trains on the system. This allows us to find which train assignments play the leading roles in transmitting delays to following trains. This identification of weak spots in the system now enables us to effectively reduce delay cascades by adding very few specific short-distance train services. Reducing delays encourages people to use public transportation, thereby lowering emissions and promoting sustainability. Agent-based simulations validate our results.