Francesco Fiorito – författare

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.

This book provides the theoretical background and the practical tools to assess the energy behaviour of different responsive envelope technologies in current and future climate scenarios. Starting from the state of the art of the climate change and of the most innovative responsive technologies, it includes a detailed description of the tools and settings required to run building energy simulations that properly account for the envelope responsiveness in current and future scenarios. The purpose of the book is to help architects, façade consultants, researchers, and students of building engineering and environmental design of buildings to understand, simulate, and consider the emerging responsive envelope technologies as viable solutions to improve the energy consumption and the climate resilience of buildings. Therefore, it bridges the gap between innovative technologies and design practice, providing all the required tools to begin to spread these systems improving the climate resilience of the built environment.