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New Approaches for Multi-Criteria Analysis in Building Constructions : User-Reporting and Augmented Reality to Support the Investigation

Libro
Data di Pubblicazione:
2022
Abstract:
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.
Tipologia CRIS:
3.1 Monografia o trattato scientifico
Keywords:
Multi-Criteria Decision Methods; Building Construction; Analytic Hierarchy Process; Augmented Reality; Augmented Reality Decision MakingAugmented Reality and ConstructionUser-Reporting and Construction ManagementMulti-Criteria AnalysisMulti-Risk Analyses
Elenco autori:
Sangiorgio, Valentino; Vargas, Luis G.; Fatiguso, Fabio; Fiorito, Francesco
Autori di Ateneo:
SANGIORGIO Valentino
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/765439
  • Dati Generali

Dati Generali

URL

https://doi.org/10.1007/978-3-030-83875-1; https://link.springer.com/book/10.1007/978-3-030-83875-1
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