Development of a multivariate regression model for overall satisfaction in public buildings based on field studies in Beijing and Shanghai

Indoor environment quality is simultaneously determined by thermal, acoustic, and luminous environments and air quality. This paper reports the findings of field studies conducted in public buildings in Beijing and Shanghai in 2008 and 2009. The studies included measurements of indoor environmental parameters such as air temperature, mean radiant temperature, relative humidity, air velocity, CO2 concentration, illumination intensity, and A-weighted sound pressure levels, as well as investigations of the occupants’ satisfaction with these indoor environments. A predictive model for evaluating overall satisfaction with the indoor environment was developed based on the analysis of the relationship between occupants’ satisfaction and the different environmental parameters. This model can provide a valuable reference for building designers as they compare different schemes by helping them choose designs favored by most people.