The digital transformation in management of the built environment is more and more evident. While the benefits of location data, from Building Information Modelling or Geographical Information Systems, have been explored separately, their combination - GeoBIM - in asset management has never been explored. Data collection for condition assessment is challenging due to quantity, types, frequency and quality of data. We first describe the opportunities and challenges of GeoBIM for condition assessment. The theoretical approach is then validated developing an integrated GeoBIM model of the digital built environment, for a neighbourhood in Milan, Italy. Data are collected, linked, processed and analysed, through multiple software platforms, providing relevant information for asset management decision making. Good results are achieved in rapid massive data collection, improved visualisation, and analysis. While further testing and development is required, the case study outcomes demonstrated the innovation and the mid-term service-oriented potential of the proposed approach.

GeoBIM for Built Environment Condition Assessment Supporting Asset Management Decision Making / Moretti, Nicola; Ellul, Claire; Re Cecconi, Fulvio; Papapesios, Nikolaos; Dejaco, Mario Claudio. - In: AUTOMATION IN CONSTRUCTION. - ISSN 0926-5805. - 2021, 130:Article number 103859(2021). [10.1016/j.autcon.2021.103859]

GeoBIM for Built Environment Condition Assessment Supporting Asset Management Decision Making

Mario Claudio Dejaco
2021-01-01

Abstract

The digital transformation in management of the built environment is more and more evident. While the benefits of location data, from Building Information Modelling or Geographical Information Systems, have been explored separately, their combination - GeoBIM - in asset management has never been explored. Data collection for condition assessment is challenging due to quantity, types, frequency and quality of data. We first describe the opportunities and challenges of GeoBIM for condition assessment. The theoretical approach is then validated developing an integrated GeoBIM model of the digital built environment, for a neighbourhood in Milan, Italy. Data are collected, linked, processed and analysed, through multiple software platforms, providing relevant information for asset management decision making. Good results are achieved in rapid massive data collection, improved visualisation, and analysis. While further testing and development is required, the case study outcomes demonstrated the innovation and the mid-term service-oriented potential of the proposed approach.
2021
Article number 103859
Moretti, Nicola; Ellul, Claire; Re Cecconi, Fulvio; Papapesios, Nikolaos; Dejaco, Mario Claudio
GeoBIM for Built Environment Condition Assessment Supporting Asset Management Decision Making / Moretti, Nicola; Ellul, Claire; Re Cecconi, Fulvio; Papapesios, Nikolaos; Dejaco, Mario Claudio. - In: AUTOMATION IN CONSTRUCTION. - ISSN 0926-5805. - 2021, 130:Article number 103859(2021). [10.1016/j.autcon.2021.103859]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/360582
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