Predictive analytics in facilities management: A pilot study for exploring environmental comfort using wireless sensors

Purpose: Advancements in wireless sensor technology and building modelling techniques have enabled facilities managers to understand the environmental performance of the workplace in more depth than ever before. However, it is unclear to what extent this data can be used to predict subjective environmental comfort. Thus, the aim of this study was to pilot test a methodological framework for integrating real-time environmental data with subjective ratings of environmental comfort. Design/Methodology/Approach: An open-plan office was fitted with environmental sensors to measure key indoor environmental quality parameters (carbon dioxide, temperature, humidity, illumination, and sound pressure level). Additionally, building modelling techniques were used to calculate two spatial metrics (‘workspace integration’ and workspace density) for each workspace within the study area. 15 employees were repeatedly sampled across an 11-day study period, providing 78 momentary assessments of environmental comfort. Multilevel models were used to explore the extent to which the objective environmental data predicted subjective environmental comfort. Findings: Higher carbon dioxide levels were associated with more negative ratings of air quality, higher ‘workspace integration’ was associated with higher levels of distractions, and higher workspace density was associated with lower levels of social interactions. Originality/Value: To our knowledge, this is the first field study to directly explore the relationship between physical environment data collected using wireless sensors and subjective ratings of environmental comfort. The study provides proof-of-concept for a methodological framework for the integration of building analytics and human analytics

Therapeutic lighting design for the elderly: a review

This article is closed access, it will be published in the journal, Perspectives in Public Health [Sage Publications © Royal Society for Public Health]. The definitive version is available at: http://dx.doi.org/10.1177/1757913911422288Aims: Research suggests that specialised lighting design is essential to cater for the elderly users of a building because of reduced visual performance with increased age. This review aims to document what is known of the physical and psychological aspects of lighting and their role in promoting a healthy and safe environment for the elderly. Methods: A methodical review was carried out of published literature on the physical and psychological impacts of light on the elderly. Design standards and guides from professional organizations were evaluated to identify synergies and gaps between the evidence base and current practice. Results: Lighting has been identified as a significant environmental attribute responsible for promoting physical and mental health of the elderly. The evidence related to visual performance was found to be robust. However, guides and standards appeared to have focused mostly on illumination requirements for specific tasks and have lacked detailed guidelines on vertical lighting and luminance design. This review has identified a growing body of evidence on the therapeutic benefits of lighting and its use in treating psychological disorders among the elderly. The experiments using light as a therapy have improved our understanding of the underlying principles, but the integration of therapeutic aspects of lighting in design practice and guidelines is lacking. Conclusions: While design guidelines discuss the physical needs of lighting for the elderly fairly well, they lack incorporation of photobiological impacts. Despite positive outcomes from research, the implementation of therapeutic aspects of lighting in buildings is still debatable due to insufficient relevant investigations and robustness of their findings. Collaborations between designers and physicians can contribute in delivering customised lighting solutions by considering disease types and needs. Further investigation needs to be carried out for translating therapeutic benefits to photometric units to implement them in building lighting design