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BIM-GIS and BI Integration for Facility and Occupancy Management of University Assets: The UNITO Pilot Case

  • Giuseppe Martino Di Giuda
  • Daniele Accardo
  • Paola Gasbarri
  • Silvia Meschini
  • Lavinia Chiara Tagliabue
  • Laura Scomparin

The integration of Building Information Modelling (BIM) and Geographic Information System (GIS) with Business Intelligence (BI) is promising for managing vast and diffused assets. It enables valuable insights into asset performance and resource uses, supporting savings, improved efficiency, and sustainability. The research proposes a web-based Asset Management System application (AMS-app) via BIM-GIS-BI integration, providing an updated digital representation of university assets by combining spatial, performance, and operation data with related analytics. The AMS-app was developed in the context of the University of Turin's strategic plan as a pilot case to improve asset management procedures through a data-driven approach. Indeed, campuses are complex assets managed by multiple actors through still document-based and fragmented databases, often leading to ineffective and untimely decision-making processes. The AMS-app represents a valuable decision support system for facility managers aimed at asset monitoring and user experience improving through better and more sustainable decisions concerning space, occupancy, and indoor environmental quality (IEQ). To demonstrate the effectiveness of the BIM-GIS-BI integration through the AMS-app, several case studies were implemented with the following objectives: (i) the digitalization of university building data, (ii) the optimization of courses timetables according to space availability, (iii) the optimal workstations management, and (iv) the analysis, monitoring and optimizing of IEQ and comfort via IoT networks. The paper illustrates the advantages and applicability of the developed methodology through the case studies, and further developments in university asset management

  • Keywords:
  • Asset Management System,
  • BIM-GIS integration,
  • Business Intelligence,
  • Information management,
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Giuseppe Martino Di Giuda

University of Turin, Italy - ORCID: 0000-0002-2294-0402

Daniele Accardo

University of Turin, Italy - ORCID: 0000-0003-1399-2742

Paola Gasbarri

University of Turin, Italy - ORCID: 0009-0001-4928-7490

Silvia Meschini

Politecnico di Milano, Italy - ORCID: 0000-0001-6894-2369

Lavinia Chiara Tagliabue

University of Turin, Italy - ORCID: 0000-0002-3059-4204

Laura Scomparin

University of Turin, Italy - ORCID: 0000-0002-8035-636X

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  • Publication Year: 2023
  • Pages: 419-430

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  • Publication Year: 2023

Chapter Information

Chapter Title

BIM-GIS and BI Integration for Facility and Occupancy Management of University Assets: The UNITO Pilot Case

Authors

Giuseppe Martino Di Giuda, Daniele Accardo, Paola Gasbarri, Silvia Meschini, Lavinia Chiara Tagliabue, Laura Scomparin

DOI

10.36253/979-12-215-0289-3.41

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

53

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