{"doi":"10.1038/s41597-024-03339-4","title":"Comparing built-up area datasets to assess urban exposure to coastal hazards in Europe","abstract":"<jats:title>Abstract</jats:title><jats:p>Information on urban land use, beyond the urban-rural dichotomy, can improve the assessment of potential impacts of coastal hazards by refining estimates of damages and supporting adaptation planning. However, the lack of a consistent definition of “urban” in previous studies has led to exposure estimates that vary considerably. Here, we explore the sensitivity of exposed population and built-up area in four settlement types, defined by four different built-up area datasets. We find large differences in the exposed population of up to 65% (127 million people) in the “Urban” class. The exposure estimates are highly sensitive to the density thresholds used to distinguish the settlement types, with a difference in exposed urban population of up to 53.5 million people when the threshold varies by 10%. We attribute the high sensitivity of the exposure estimates to the varying definitions of built-up area of the underlying datasets. We argue that the definition of urban land is crucial for coastal impact assessments and make recommendations for the use of the analyzed datasets.</jats:p>","journal":"Scientific Data","year":2024,"id":642039,"datarank":0.29188652235829704,"base_score":1.9459101490553132,"endowment":1.9459101490553132,"self_citation_contribution":0.29188652235829704,"citation_network_contribution":0.0,"self_endowment_contribution":0.29188652235829704,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1471426,"name":"Lena Reimann","orcid":"0000-0001-5465-5895","position":1,"is_corresponding":false},{"id":1669655,"name":"Athanasios T. Vafeidis","orcid":"0000-0002-3906-5544","position":2,"is_corresponding":false},{"id":1669654,"name":"Hedda Bonatz","orcid":"0000-0002-1480-6588","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Comparing built-up area datasets to assess urban exposure to coastal hazards in Europe","abstract":"<jats:title>Abstract</jats:title><jats:p>Information on urban land use, beyond the urban-rural dichotomy, can improve the assessment of potential impacts of coastal hazards by refining estimates of damages and supporting adaptation planning. However, the lack of a consistent definition of “urban” in previous studies has led to exposure estimates that vary considerably. Here, we explore the sensitivity of exposed population and built-up area in four settlement types, defined by four different built-up area datasets. We find large differences in the exposed population of up to 65% (127 million people) in the “Urban” class. The exposure estimates are highly sensitive to the density thresholds used to distinguish the settlement types, with a difference in exposed urban population of up to 53.5 million people when the threshold varies by 10%. We attribute the high sensitivity of the exposure estimates to the varying definitions of built-up area of the underlying datasets. We argue that the definition of urban land is crucial for coastal impact assessments and make recommendations for the use of the analyzed datasets.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"38750094","pmcid":"PMC11096343","openalex_id":null,"authors":[],"funders":[{"funder_name":"EC | Horizon 2020 Framework Programme","grant_id":"101003598","title":"COASTAL CLIMATE CORE SERVICES"}],"total_grants":1,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"hybrid","license":"CC BY","oa_locations":[{"url":"https://www.nature.com/articles/s41597-024-03339-4.pdf","host_type":"publisher"},{"url":"https://www.nature.com/articles/s41597-024-03339-4","host_type":"publisher"},{"url":"https://europepmc.org/articles/PMC11096343","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC11096343?pdf=render","host_type":"Europe_PMC"},{"url":"https://doi.org/10.1038/s41597-024-03339-4","host_type":""},{"url":"https://pubmed.ncbi.nlm.nih.gov/38750094","host_type":""},{"url":"http://dx.doi.org/10.1038/s41597-024-03339-4","host_type":""},{"url":"https://doaj.org/article/d7ef3e1711434953ae8d4b0c80d79b55","host_type":""},{"url":"https://hdl.handle.net/1871.1/3d9a042f-f55a-4ec3-84ab-c7218c4c9ba9","host_type":""},{"url":"https://research.vu.nl/en/publications/3d9a042f-f55a-4ec3-84ab-c7218c4c9ba9","host_type":""}],"fields_of_study":["0301 basic medicine","03 medical and health sciences","01 natural sciences","0105 earth and related environmental sciences"],"mesh_terms":[],"keywords":["Science","Q","Analysis"],"sdg_mappings":[{"sdg_number":11,"sdg_label":"11. 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