{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T03:51:15Z","timestamp":1791258675675,"version":"4.1.0"},"reference-count":59,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Risk Analysis"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Natural and technological disasters often have transboundary impacts, affecting multiple countries simultaneously, while the lack of joint preparedness and coordinated response mechanisms can significantly amplify damages and complicate recovery efforts. This study proposes an integrated methodology to assess transboundary hazards and population vulnerability across European cross\u2010border regions. The framework combines georeferenced data on extreme weather events, wildfires, industrial areas, and nuclear power plants with a population\u2010based vulnerability analysis. The results revealed pronounced spatial heterogeneity in transboundary hazards distribution across Europe. Extreme weather events affected most European border regions, with the highest values observed in central Europe and along the Portugal\u2013Spain border. Wildfire hazards were strongly concentrated in southern and Mediterranean regions, particularly in the Iberian Peninsula and the Balkans. Technological hazards displayed a more localized pattern, with nuclear power plant\u2010related hazards mainly concentrated in central European border regions and industrial hazards clustered in highly industrialized areas, notably in Belgium, the Netherlands, Germany, Italy, and Switzerland. The combined hazard analysis showed that the highest transboundary hazard levels occurred in regions where multiple hazards spatially co\u2010occurred, such as the Italy\u2013Switzerland, Belgium\u2013the Netherlands, and Portugal\u2013Spain borders, highlighting the importance of multi\u2010hazard interactions. The assessment found that vulnerability was largely determined by population density and demographic structure, with the highest levels occurring in densely populated areas along the Belgium\u2013Germany border. Overall, the proposed framework provides reproducible and policy\u2010relevant evidence to support cross\u2010border risk governance, coordinated prevention strategies, and emergency preparedness planning in Europe.<\/jats:p>","DOI":"10.1111\/risa.70344","type":"journal-article","created":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T17:32:52Z","timestamp":1788197572000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Natural and Technological Risk Analysis in European Cross\u2010Border Regions: An Integrated Approach to Hazards and Vulnerability"],"prefix":"10.1111","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3680-9755","authenticated-orcid":false,"given":"D.","family":"Lopes","sequence":"first","affiliation":[{"name":"CESAM, Department of Environment and Planning Universidade de Aveiro  Aveiro Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3612-3980","authenticated-orcid":false,"given":"E.","family":"De Diego","sequence":"additional","affiliation":[{"name":"Meteogrid  Madrid Spain"},{"name":"Environmental Remote Sensing Research Group, Department of Geography and Geology Universidad de Alcal\u00e1  Alcal\u00e1 de Henares Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"\u00c0gueda","sequence":"additional","affiliation":[{"name":"CERTEC \u2013 Centre for Technological Risk Studies, Department of Chemical Engineering Universitat Polit\u00e8cnica de Catalunya \u2013 BarcelonaTech  Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0379-6062","authenticated-orcid":false,"given":"M.","family":"Almeida","sequence":"additional","affiliation":[{"name":"Univ Coimbra, ADAI, Department of Mechanical Engineering, Rua Lu\u00eds Reis Santos, P\u00f3lo II, 3030\u2013788  Coimbra Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9972-4601","authenticated-orcid":false,"given":"L. 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