{"title":"Where the Borders Lie: Mapping Cross-Border Communities in 10 Western European Countries","authors":"Aurore Sallard, François Hublet","doi":"10.1177/03611981241254389","DOIUrl":null,"url":null,"abstract":"With the deepening of European integration, Western Europe has witnessed the emergence of highly interconnected cross-border living areas. So far, these areas have received rather limited attention from both quantitative research and public policy. The COVID-19 pandemic dramatically exposed the limitations of the status quo: with travel restrictions imposed at administrative borders and limited cross-border crisis management, the daily life of people in border regions was affected in a disproportionate way. In an effort to better understand the geography of cross-border communities, this paper presents the first large-scale quantitative analysis of cross-border communities in Western Europe. We apply the Louvain community detection algorithm to a transnational, fine-grained dataset gathering commuter flows across 10 Western European countries. This allows us to produce the first comprehensive transnational mapping of communities in these countries and identify five main cross-border living areas. Based on these findings, we put forward policy recommendations aimed at improving the design of mobility censuses and developing new institutional frameworks in cross-border regions.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Record: Journal of the Transportation Research Board","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/03611981241254389","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
With the deepening of European integration, Western Europe has witnessed the emergence of highly interconnected cross-border living areas. So far, these areas have received rather limited attention from both quantitative research and public policy. The COVID-19 pandemic dramatically exposed the limitations of the status quo: with travel restrictions imposed at administrative borders and limited cross-border crisis management, the daily life of people in border regions was affected in a disproportionate way. In an effort to better understand the geography of cross-border communities, this paper presents the first large-scale quantitative analysis of cross-border communities in Western Europe. We apply the Louvain community detection algorithm to a transnational, fine-grained dataset gathering commuter flows across 10 Western European countries. This allows us to produce the first comprehensive transnational mapping of communities in these countries and identify five main cross-border living areas. Based on these findings, we put forward policy recommendations aimed at improving the design of mobility censuses and developing new institutional frameworks in cross-border regions.