Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers

Research Article

BIM for Corporate Real Estate Data Visualization from Disparate Systems

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  • @INPROCEEDINGS{10.1007/978-3-319-33681-7_42,
        author={S. Lazar and J. McArthur},
        title={BIM for Corporate Real Estate Data Visualization from Disparate Systems},
        proceedings={Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers},
        proceedings_a={SMARTCITY360},
        year={2016},
        month={6},
        keywords={Building Information Modeling Corporate real estate Lease management Facilities management Multi-system data visualization},
        doi={10.1007/978-3-319-33681-7_42}
    }
    
  • S. Lazar
    J. McArthur
    Year: 2016
    BIM for Corporate Real Estate Data Visualization from Disparate Systems
    SMARTCITY360
    Springer
    DOI: 10.1007/978-3-319-33681-7_42
S. Lazar1,*, J. McArthur1,*
  • 1: Ryerson University
*Contact email: s.lazar@ryerson.ca, jjmcarthur@ryerson.ca

Abstract

Corporate Real Estate (CRE) management has several functional components, which are often owned by different departments and stored on different data management systems. A Building Information Modelling (BIM) centralized software framework is an efficient way to document, manage, share, analyze and present information used in CRE management operations and provide a single source of truth to allow evidence-based decision-making regarding individual buildings as well as property portfolios. This paper explores previous examples from the literature and presents a case study whereby BIM models were created for two existing small commercial offices to display information related to corporate real estate management, facility management and space use, building operations and maintenance, and thermal comfort and complaint tracking. These case studies demonstrate the data visualization benefits of this tool within this context and its potential for scaling to the portfolio level, as information in each of these models can be interfaced with its associated centralized data management system.