Automated Semantic SWOT Analysis for City Planning Targets
Data-driven Solar Energy Potential Evaluations for Building Plots in Singapore
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Author / Producer
Date
2022
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
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Abstract
Singapore’s urban planning and management is cross-domain
in nature and need to be assessed using multi-domain indicators
— such as SDGs. However, urban planning processes are often
confronted with data interoperability issues. In this paper, we
demonstrate how a Semantic Web Technology-based approach
combined with a SWOT analysis framework can be used to develop an
architecture for automated multi-domain evaluations of SDG-related
planning targets. This paper describes an automated process of storing
heterogeneous data in a semantic data store, deriving planning metrics
and integrating a SWOT framework for the multi-domain evaluation of
on-site solar energy potential across plots in Singapore. Our goal is to
form the basis for a more comprehensive planning support tool that is
based on a reciprocal relationship between innovations in SWT and a
versatile SWOT framework. The presented approach has many
potential applications beyond the presented energy potential evaluation.
Permanent link
Publication status
published
Book title
POST-CARBON – Proceedings of the 27th CAADRIA Conference
Journal / series
Volume
1
Pages / Article No.
555 - 565
Publisher
Association for Computer-Aided Architectural Design Research in Asia
Event
Post-Carbon: 27th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2022)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Semantic Web; Knowledge Graphs; SWOT Analysis; Energy-driven Urban Design; SDG 7; SDG 11
Organisational unit
08060 - FCL / FCL
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)
Notes
Conference lecture held on April 14, 2022