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Urban Vulnerability Assessment of Sea Level Rise in Singapore through the World Avatar

Authors
  • Phua, SZ
  • Lee, KF
  • Tsai, YK
  • Ganguly, S
  • Yan, J
  • Mosbach, S
  • Ng, T
  • Moise, A
  • Horton, BP
  • Kraft, M
Publication Date
Aug 29, 2024
Source
Apollo - University of Cambridge Repository
Keywords
Language
English
License
Green
External links

Abstract

<jats:p>This 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.</jats:p> / This research was supported by the National Research Foundation, Prime Minister’s Off ice, 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.

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