RE-USE MAP: A Computational Evaluation and Decision Support Model for Adaptive Reuse of Existing Buildings

Abstract

This study proposes a model that supports designers’ decision-making in the adaptive reuse
process of existing buildings. The model, called “RE-USE MAP,” aims to extract data from
the existing building through its generated Revit model (such as spatial area data and structural
span information, etc.) and to classify transformation scenarios of the building according to an
adaptive reuse score. The adaptive reuse score is calculated as the average of the values from
four scoring tables: the Reversible Transformation Index, the Intervention Intensity Score, the
Circularity Impact Score, and the Function Fit Score. The building’s transformation scenarios
are compared based on these indicators, thereby aiming to generate concrete data that helps
determine whether adaptive reuse is a rational option compared to other scenarios. The
findings indicate that different transformation scenarios can be systematically compared
through the collected data, and that adaptive reuse decisions can be strengthened with concrete
evidence.