Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109986
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorGu, X-
dc.creatorLiu, X-
dc.date.accessioned2024-11-20T07:30:43Z-
dc.date.available2024-11-20T07:30:43Z-
dc.identifier.issn1470-160X-
dc.identifier.urihttp://hdl.handle.net/10397/109986-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/).en_US
dc.rightsThe following publication Gu, X., & Liu, X. (2024). Planning scale flood risk assessment and prediction in ultra-high density urban environments: The case of Hong Kong. Ecological Indicators, 162, 112000 is available at https://doi.org/10.1016/j.ecolind.2024.112000.en_US
dc.subjectClimate changeen_US
dc.subjectHigh-density cityen_US
dc.subjectPlanning unitsen_US
dc.subjectRisk assessmenten_US
dc.subjectUrban flooden_US
dc.subjectUrban vulnerabilityen_US
dc.titlePlanning scale flood risk assessment and prediction in ultra-high density urban environments : the case of Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume162-
dc.identifier.doi10.1016/j.ecolind.2024.112000-
dcterms.abstractClimate change has significantly increased the risks associated with urban flooding. However, most research on flood risk assessment focuses on large-scale climate changes and impacts, leaving a research gap in the high spatial resolution of flood risk assessment in inter-urban areas. This gap makes it difficult to guide regional planning for the government. Therefore, this study aims to explore the risks of floods in ultra-high-density cities under climate change at the planning scale, using Hong Kong as a case study. We comprehensively assessed the flood risk index (FRI) in the built environment in 211 tertiary planning units (TPUs) from the three dimensions of vulnerability, exposure, and hazard from 2006 to 2021. We also employed a prediction model to forecast the spatial–temporal patterns of FRI in the next 5, 10, and 15 years and evaluated the uneven distribution of flood risks. The results show that the FRI of TPUs increased yearly, which poses higher threats to agglomerative areas of transportation and functional facilities. Additionally, future FRI will further impact coastal TPUs in western Hong Kong, resulting in more negative impacts on high-building areas. Therefore, urban planning should prioritize integrating flood management and risk mitigation measures.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEcological indicators, May 2024, v. 162, 112000-
dcterms.isPartOfEcological indicators-
dcterms.issued2024-05-
dc.identifier.scopus2-s2.0-85190250744-
dc.identifier.eissn1872-7034-
dc.identifier.artn112000-
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Institute for Sustainable Urban Development (RISUD), The Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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