Lessons learned from 20 years of CBE's occupant surveys

Graham, L T; Parkinson, T and Schiavon, S (2021) Lessons learned from 20 years of CBE's occupant surveys. Buildings & Cities, 2(1), pp. 166-184. ISSN 2632-6655

Abstract

Buildings influence diverse factors (e.g. health, wellbeing, productivity, and social connection). Occupants' direct experiences with their indoor environments allow them to determine whether those spaces support or hinder the activities performed. However, most post-occupancy evaluations (POEs) focus solely on measuring people’s levels of comfort and environmental satisfaction. With increasing attention and interest in occupant health and wellness, there is a need to reassess whether occupant surveys are evaluating all they need to. An analysis is presented of data collected from a widely used online POE tool: The Center for the Built Environment’s (CBE) Occupant Survey (more than 90,000 respondents from approximately 900 buildings) in order to summarise its database and evaluate the survey’s structure and benchmarking metrics. A total of 68% of the respondents are satisfied with their workspace. Satisfaction is highest with spaces' ease of interaction (75% satisfied), amount of light (74%), and cleanliness (71%). Dissatisfaction is highest with sound privacy (54% dissatisfied), temperature (39%), and noise level (34%). Correlation, principal component, and hierarchical clustering analyses identified seven distinct categories of measurement within the 16 satisfaction items. Results also revealed that a reduction in the scale may be possible. Based on these results, potential improvements and new directions are discussed for the future of POE tools. Practice relevance: Assessing the measurement properties in a widely used occupant satisfaction survey reveals what is still useful to include and what may be missing from occupant surveys. These insights are increasingly important as built-environment research evolves and an increasing emphasis is placed on the physical and mental wellbeing of occupants and their productivity. Typical occupant satisfaction rates are reported for indoor environmental quality parameters and benchmark values. These can be used as references by practitioners and other survey tools. Based on this analysis, recommendations are made for different clustering and themes of measurement categories, along with the scope of additional questions that can be posed to occupants.

Item Type: Article
Uncontrolled Keywords: buildings; indoor environmental quality; occupant perceptions; occupant surveys; post-occupancy evaluation; satisfaction; wellbeing
Index terms: occupant survey, satisfaction, post-occupancy evaluation, productivity, workspace, database, survey, occupant perception, indoor environment, well-being, practitioner, built environment, occupant satisfaction, indoor environmental quality, comfort, privacy, lessons learned, interaction, clustering, benchmarking
Subjects: project delivery, evaluation methods, data science, environmental science, mental health and wellbeing, user-centered design, data collection methods, practitioner, health behaviours and lifestyles, data management, occupational health and safety management, behavioral psychology, environmental health, professional ethics, infrastructure and transport systems, management, performance measurement, professional development
Topics: Urban Studies, Digital Applications, Legal Issues, Design Practice, Quality Management, Roles and Professions, Stakeholder Management, Sustainability, Health and Safety, Business Strategy, Information Management, Research Practice, Project Management
Descriptive scope: 3 PCE

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here