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BIM for Corporate Real Estate Data Visualization from Disparate Systems

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Smart City 360° (SmartCity 360 2016, SmartCity 360 2015)

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.

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Acknowledgments

The authors wish to thank the Financial Company who provided access to their facility data and insight into their data systems to facilitate this research.

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Correspondence to J. J. McArthur .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lazar, S., McArthur, J.J. (2016). BIM for Corporate Real Estate Data Visualization from Disparate Systems. In: Leon-Garcia, A., et al. Smart City 360°. SmartCity 360 SmartCity 360 2016 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-319-33681-7_42

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  • DOI: https://doi.org/10.1007/978-3-319-33681-7_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33680-0

  • Online ISBN: 978-3-319-33681-7

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