Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/181420
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dc.contributor.authorPhua, Shin Zerten_US
dc.contributor.authorLee, Kok Foongen_US
dc.contributor.authorTsai, Yi-Kaien_US
dc.contributor.authorGanguly, Srishtien_US
dc.contributor.authorYan, Jingyaen_US
dc.contributor.authorMosbach, Sebastianen_US
dc.contributor.authorNg, Trinaen_US
dc.contributor.authorMoise, Aurelen_US
dc.contributor.authorHorton, Benjamin Peteren_US
dc.contributor.authorKraft, Markusen_US
dc.date.accessioned2024-12-02T00:58:46Z-
dc.date.available2024-12-02T00:58:46Z-
dc.date.issued2024-
dc.identifier.citationPhua, S. Z., Lee, K. F., Tsai, Y., Ganguly, S., Yan, J., Mosbach, S., Ng, T., Moise, A., Horton, B. P. & Kraft, M. (2024). Urban vulnerability assessment of sea level rise in Singapore through the World Avatar. Applied Sciences, 14(17), 7815-. https://dx.doi.org/10.3390/app14177815en_US
dc.identifier.issn2076-3417en_US
dc.identifier.urihttps://hdl.handle.net/10356/181420-
dc.description.abstractThis paper explores the application of The World Avatar (TWA) dynamic knowledge graph to connect isolated data and assess the impact of rising sea levels in Singapore. Current sea level rise vulnerability assessment tools are often regional, narrow in scope (e.g., economic or cultural aspects only), and are inadequate in representing complex non-geospatial data consistently. We apply TWA to conduct a multi-perspective impact assessment of sea level rise in Singapore, evaluating vulnerable buildings, road networks, land plots, cultural sites, and populations. We introduce OntoSeaLevel, an ontology to describe sea level rise scenarios, and its impact on broader elements defined in other ontologies such as buildings (OntoBuiltEnv ontology), road networks (OpenStreetMap ontology), and land plots (Ontoplot and Ontozoning ontology). We deploy computational agents to synthesise data from government, industry, and other publicly accessible sources, enriching buildings with metadata such as property usage, estimated construction cost, number of floors, and gross floor area. An agent is applied to identify and instantiate the impacted sites using OntoSeaLevel. These sites include vulnerable buildings, land plots, cultural sites, and populations at risk. We showcase these sea level rise vulnerable elements in a unified visualisation, demonstrating TWA’s potential as a planning tool against sea level rise through vulnerability assessment, resource allocation, and integrated spatial planning.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relationMOE2019-T3-1-004en_US
dc.relation.ispartofApplied Sciencesen_US
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectEarth and Environmental Sciencesen_US
dc.titleUrban vulnerability assessment of sea level rise in Singapore through the World Avataren_US
dc.typeJournal Articleen
dc.contributor.schoolAsian School of the Environmenten_US
dc.contributor.organizationCentre for Climate Research, Singaporeen_US
dc.contributor.researchEarth Observatory of Singaporeen_US
dc.identifier.doi10.3390/app14177815-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85203856620-
dc.identifier.issue17en_US
dc.identifier.volume14en_US
dc.identifier.spage7815en_US
dc.subject.keywordsSea level riseen_US
dc.subject.keywordsKnowledge graphen_US
dc.description.acknowledgementThis research was supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. Part of this work was also supported by EPSRC Grant EP/Y016076/1. M. Kraft gratefully acknowledges the support of the Alexander von Humboldt Foundation. BPH is supported by the Singapore Ministry of Education Academic Research Fund (MOE2019-T3-1-004). This work is Earth Observatory of Singapore contribution 617.en_US
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