Use of predictive analyses for BIM-based space quality optimization: A case study, progetto iscol@

Abstract

Predictive analyses on future uses, developed through usage patterns, provide a solid basis for space quality check. This paper aims at setting a methodology for the use of predictive analyses for project quality and effectiveness of school buildings design. Crowd simulations and pre-occupancy simulations are applied on BIM models of school buildings: data related to users’ interactions, comfort evaluation help in increasing space quality and avoiding overcrowding or ineffective space distribution. The proposed approach is iterative, allowing the optimization of design, based on educational approach. This method has been tested in the design of a new school building located in Sardinia, in the framework of Progetto Iscol@.