A literature review on driving factors and contextual events influencing occupants' behaviours in buildings. (June 2017)

• Record Type: Journal Article
• Authors: Stazi, Francesca; Naspi, Federica; D'Orazio, Marco
• Is Part Of: Building and environment. Volume 118(2017)
• Page Start: 40
• Page End: 66
• Publication Date: 2017-06
• Subjects: Occupant behaviour -- Driving factor -- Behavioural model -- Adaptive action -- Environmental parameter -- Time-related event; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2017.03.021
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: The present paper illustrates the results of a literature review on occupants' behaviours, assessing the actions' drivers. There is no general agreement about the reasons people interact with building systems or the driving factors that trigger their decisions. Even if lot of researchers focus on this target, they usually analyse one or two actions, while no survey makes a comprehensive investigation. Windows, lights, blinds, air-conditioning, thermostat, fans and doors patterns are investigated in different building uses (offices, houses and schools). The analysis is split in three parts: 1) evaluating the influence of environmental parameters 2) and time-related events (e.g. arrivals and departures) and 3) describing the variables adopted in behavioural models. The results suggest that not only environmental factors play a key role in the use of building systems but also contextual factors, as well as routine and habits, largely affect occupants' behaviours. Behavioural models are becoming more and more complex and comprehensive to better reproduce the human component. Considering the principal driving factors inside the behavioural models would bring a double benefit: improving the results of building simulation programs and assisting designers during the project of energy-saving and comfortable buildings. Highlights: We have reviewed existing studies on human-building interaction. Environmental and time-related factors driving users' interactions are highlighted. We have reviewed several behavioural models and the parameters included in them. Useful suggestions for development of more realistic behavioural models are proposed. Recent trends and future challenges regarding behavioural models are point up.