Analyzing the Feasibility of Integrating Urban Sustainability Assessment Indicators with City Information Modelling (CIM)

Sustainability assessment methods have gained the attention between urban planners and policymakers since they promote a comprehensive view of the cities. Intelligent solutions, enabled by advances in information technologies, can accelerate progress in achieving sustainability goals. In this contex...

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Bibliographic Details
Published inApplied system innovation Vol. 6; no. 2; p. 45
Main Authors Salles, Adriana, Salati, Maryam, Bragança, Luís
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2023
Subjects
Analysis
Building information modeling
city information modelling
Collaboration
Comparative analysis
Computer-integrated manufacturing
Design
Designers
Emission standards
Geographic information systems
Indicators
Internet of Things
Methods
Modelling
Neighborhoods
Performance assessment
Smart cities
Sustainability
Sustainable development
Trends
Urban planning
urban sustainability assessment methods
urban sustainability indicators
Portugal
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Summary:Sustainability assessment methods have gained the attention between urban planners and policymakers since they promote a comprehensive view of the cities. Intelligent solutions, enabled by advances in information technologies, can accelerate progress in achieving sustainability goals. In this context, City Information Modelling (CIM) emerges as a tool to facilitate urban sustainability assessment implementation. Accordingly, the main question aimed to address in this article is whether conventional sustainability assessment tools can be adapted to the CIM framework. In this regard, this study extracts the most consensual list of indicators from four sustainability assessment methods: BREEAM-C, LEED-ND, SNTool, and SBToolPT Urban, to identify a clear set of key sustainability priorities. The selected sustainability assessment methods are pioneering and often used for performance assessment at the urban scale. Furthermore, the indicators extracted from the assessment methods are measurable and can present accurate results. The study analyses the potential of the selected indicators to be calculated in CIM. The final product of the article is identifying the indicators that are adaptable to be used in the CIM approach.
ISSN:2571-5577
2571-5577
DOI:10.3390/asi6020045