Journal
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
Volume 25, Issue 5, Pages 477-494Publisher
VILNIUS GEDIMINAS TECH UNIV
DOI: 10.3846/jcem.2019.9872
Keywords
BIM; decision support system; Bayesian Networks; multi-criteria analysis; decision making; Analytic Hierarchy Process
Categories
Funding
- Politecnico di Milano (Milan, Italy)
- Universita Politecnica delle Marche (Ancona, Italy)
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Both public administrations and private owners of large building stocks need to work out plans for the management of their property, while having to deal with yearly budget limitations. Particularly for the former, this is a rather critical challenge, since public administrations are given the responsibility of sticking to very strict budget distributions over the years. As a consequence, when planning the actions to be taken on their building stocks in order to comply with their current use and the legislation in-force, they need to classify refurbishment priorities. The aim of this paper is to develop a first tool based on Bayesian Networks that offers an effective decision support service for owners even in case some information is incomplete. This tool can be used to evaluate the compliance of existing buildings with the latest standards. The decision support platform proposed includes a multi-criteria evaluation approach combining several performance indicators, each of which related to a specific regulatory area. This tool can be applied to existing buildings, where the building with the lowest score shows the highest priority of intervention. Also, the platform performs an assessment of expected costs for required refurbishment or renovation actions.
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