{"title":"High-Speed Rail: A game changer for Spanish motorway transport?","authors":"Daniel Albalate, Carlos R. León-Gómez","doi":"10.1016/j.ecotra.2024.100360","DOIUrl":null,"url":null,"abstract":"<div><p>Spain has deployed the world’s largest High-Speed Rail (HSR) network, in per capita terms, under the premise that this infrastructure provides a cleaner mode for reaching their environmental commitments. However, for observing environmental gains, there should be inter-modal substitution from polluter modes to the HSR. This paper analyzes the impact of new HSR openings on car traffic, using a Generalized and Staggered Difference-in-Difference approach. Unlike previous studies, we analyzes the entire Spanish HSR network. We matched the georeferenced data on car traffic with the origin–destination routes provided by Google Maps API to estimate the impact of the HSR on car traffic. We found that the HSR has not generated modal split, except for few of the HSR segments, in which we estimated a 6%–8% reduction in the annual average daily traffic. These results have public policy implications for the transport policy in the EU, and the effectiveness of decarbonization policies.</p></div>","PeriodicalId":45761,"journal":{"name":"Economics of Transportation","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212012224000194/pdfft?md5=a4d887a5383e5364f30b9076157cf85c&pid=1-s2.0-S2212012224000194-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics of Transportation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212012224000194","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Spain has deployed the world’s largest High-Speed Rail (HSR) network, in per capita terms, under the premise that this infrastructure provides a cleaner mode for reaching their environmental commitments. However, for observing environmental gains, there should be inter-modal substitution from polluter modes to the HSR. This paper analyzes the impact of new HSR openings on car traffic, using a Generalized and Staggered Difference-in-Difference approach. Unlike previous studies, we analyzes the entire Spanish HSR network. We matched the georeferenced data on car traffic with the origin–destination routes provided by Google Maps API to estimate the impact of the HSR on car traffic. We found that the HSR has not generated modal split, except for few of the HSR segments, in which we estimated a 6%–8% reduction in the annual average daily traffic. These results have public policy implications for the transport policy in the EU, and the effectiveness of decarbonization policies.
按人均计算,西班牙部署了世界上最大的高速铁路(HSR)网络,前提是这种基础设施为实现其环境承诺提供了一种更清洁的模式。然而,要观察环境收益,就必须实现从污染模式到高铁的模式间替代。本文采用广义交错差分法分析了新开通的高铁对汽车交通的影响。与以往研究不同的是,我们分析了整个西班牙高铁网络。我们将汽车流量的地理参照数据与谷歌地图 API 提供的出发地-目的地路线进行匹配,以估算高铁对汽车流量的影响。我们发现,除少数高铁路段外,高铁并未造成交通模式的分化,我们估计这些路段的年平均日交通量减少了 6%-8%。这些结果对欧盟的交通政策以及脱碳政策的有效性具有公共政策意义。