Cloud-based sustainability assessment (CSA) system for automating the sustainability decision-making process of built assets

Timothy O. Olawumi, Daniel W.M. Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)


Digital tools help facilitate the implementation of sustainability practices in the built environment in the era of rapid urban developments. However, the extant literature revealed salient gaps in the use of cloud-based systems and digital tools to evaluate buildings' sustainability performance. Consequently, the current study aims to develop and implement a cloud-based sustainability assessment (CSA) system to evaluate and compare the sustainability performance of buildings based on the Building Sustainability Assessment Method (BSAM) scheme green rating system. A design science research (DSR) approach was adopted in designing, developing, and validating the CSA system. The developed CSA system is based on the SaaS model of cloud computing. The methods evaluation validation of the CSA system when compared with other systems revealed that the developed CSA system would result in higher time and learning efficiency for the users. The findings from the case study validation of the CSA system, using four building projects, indicate that the developed artefact offers a better secured, automated, reliable, and value-adding tool for the building sustainability assessment process. It also eases the automated process of updating data, evaluating, and comparing building projects towards improving the overall building sustainability profile. More so, the CSA system has a great potential to assist stakeholders in their buildings’ sustainability decision-making process and enhancing sustainable development.

Original languageEnglish
Article number116020
JournalExpert Systems with Applications
Publication statusPublished - Feb 2022


  • BSAM scheme
  • Cloud-based system
  • Design science research
  • Digital tool
  • Green building
  • Sustainability assessment

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence


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