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Cross-domain flood risk assessment for smart cities using dynamic knowledge graphs
Hofmeister, M ; Brownbridge, G ; Hillman, M ; Mosbach, S ; Akroyd, J ; Lee, KF ; Kraft, M
Sustainable Cities and Society 2024-02
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Título:
Cross-domain flood risk assessment for smart cities using dynamic knowledge graphs
Autor:
Hofmeister, M
;
Brownbridge, G
;
Hillman, M
;
Mosbach, S
;
Akroyd, J
;
Lee, KF
;
Kraft, M
Assuntos:
33 Built Environment and Design
;
3302 Building
;
3304 Urban and Regional Planning
;
44 Human Society
;
4406 Human Geography
Descrição:
This paper investigates the usage of knowledge graphs to bridge the gap between current data silos in deriving a holistic perspective on the impact of flooding. It builds on the idea of connected digital twins based on the World Avatar dynamic knowledge graph to deploy an ecosystem of autonomous software agents to continuously ingest new real-world information and operate on it. Multiple publicly available yet isolated data sources, including geospatial building information and property sales data as well as real-time river levels, weather observations, and flood warnings, are connected to instantiate a semantically rich ecosystem of knowledge, data, and computational capabilities to provide cross-domain insights in projected flooding events and their potential impact on population and built infrastructure. The extensibility of the proposed approach is highlighted by further integrating power, water, and telecoms infrastructure as part of the very same system, in order to analyse flood-induced asset failures and their propagation across networks. The World Avatar promotes evidence-based decision making during several disaster management phases, supporting both tactical and strategic risk assessments, which supports the United Nations Sustainable Development Goal 11 to improve the assessment of vulnerability, exposure, and risk of communities imposed by flooding events. This research was supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. A part of this study has been undertaken in the context of DOME 4.0 project, which has received funding from the European Union‘s Horizon 2020 research and innovation programme under Grant Agreement No 953163. M. Hofmeister acknowledges financial support provided by the Cambridge Trust and CMCL. M. Kraft gratefully acknowledges the support of the Alexander von Humboldt Foundation.
Editor:
Sustainable Cities and Society
Data de criação/publicação:
2024-02
Idioma:
Inglês
Links
View record in Cambridge University Library$$FView record in $$GCambridge University Library
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