New Approaches for Multi-Criteria Analysis in Building Constructions [electronic resource] : User-Reporting and Augmented Reality to Support the Investigation / by Valentino Sangiorgio, Luis G. Vargas, Fabio Fatiguso, Francesco Fiorito.

Introduction -- The Analytic Hierarchy Process in the Building Sector -- Augmented Reality to Support the Analytic Hierarchy Process -- How to Set a User-Reporting Supported Decision Making in Architectural Engineering and Building Production -- AR-AHP to Support the Building Retrofitting: Selection of the Best Precast Concrete Panel Cladding -- User Reporting and AHP to Investigate the Perception and Social Acceptance of Wind Energy -- User Reporting and Condition Ratings to Support Building Maintenance and Diagnostics.

This book is focused on the challenges of digital transition in building construction, and potential solutions through the use of multi-criteria analysis. It provides clear explanations of proposed approaches from both a theoretical and practical point of view, including augmented reality and user-reporting. New Approaches for Multi-Criteria Analysis in Constructions begins by explaining classic multi-criteria analysis methods, such as Analytic Hierarchy Processes and the Simos-Roy-Figueira method, before moving on to discuss Augmented Reality - Decision Making. This new approach provides a tool to investigate user’s perceptions, and utilises an interactive experience of the real-world environment combined with classic methods to provide a large amount of visual information. Finally, a detailed guide to user-reporting is presented. Offering new possibilities for applying multi-criteria analysis in a simpler, faster and more accessible way, this book supports analysis which considers users experience and perception. Architects, engineers, researchers and practitioners will be able to utilise augmented reality environments, multi-criteria analysis and user reporting for the building design choices, supply selection, maintenance strategies, risk and complex performance assessment.