Post-Occupancy Evaluation and IEQ Measurements from 64 Office Buildings: Critical Factors and Thresholds for User Satisfaction on Thermal Quality

• Published in: Buildings (Basel) Vol. 8; no. 11; p. 156
• Main Authors: Park, Jihyun, Loftness, Vivian, Aziz, Azizan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2018
• Subjects: Acoustics; Air quality; Air temperature; Buildings; Built environment; Call centers; Cooling; Corporate headquarters; Correlation coefficient; Correlation coefficients; Data analysis; Environmental assessment; Environmental conditions; Environmental quality; Humidity; IEQ field measurements; Indoor environmental quality; Indoor environments; Occupancy; Office buildings; Polls & surveys; Post occupancy evaluation; Productivity; Questionnaires; Seasons; Statistical analysis; Statistics; Temperature control; thermal quality; Thresholds; Urban environments; User satisfaction; Variables; Work stations; Workstations
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings8110156

The indoor environmental quality (IEQ) of buildings can have a strong influence on occupants’ comfort, productivity, and health. Post-occupancy evaluation (POE) is necessary in assessing the IEQ of the built environment, and it typically relies on the subjective surveys of thermal quality, air quality, visual quality, and acoustic quality. In this research, we expanded POE to include both objective IEQ measurements and the technical attributes of building systems (TABS) that may affect indoor environment and user satisfaction. The suite of three tools, including user satisfaction survey, workstation IEQ measurements, and TABS in the National Environmental Assessment Toolkit (NEAT) has been deployed in 1601 workstations in 64 office buildings, generating a rich database for statistical evaluation of possible correlations between the physical attributes of workstations, environmental conditions, and user satisfaction. Multivariate regression and multiple correlation coefficient statistical analysis revealed the relationship between measured and perceived IEQ indices, interdependencies between IEQ indices, and other satisfaction variables of significance. The results showed that overall, 55% of occupants responded as “satisfied” or “neutral”, and 45% reported being “dissatisfied” in their thermal quality. Given the dataset, air temperature in work area, size of thermal zone, window quality, level of temperature control, and radiant temperature asymmetry with façade are the critical factors for thermal quality satisfaction in the field. As a result, the outcome of this research contributes to identifying correlations between occupant satisfaction, measured data, and technical attributes of building systems. The presented integrated IEQ assessment method can further afford robust predictions of building performance against metrics and guidelines for IEQ standards to capture revised IEQ thresholds that impact building occupants’ satisfaction.