Nan Ma, Qi Zhang, Fabricio Murai, William W. Braham, Holly W. Samuelson
The fact that “humans are effective sensors” and are inclined to report their impressions can be leveraged to collect data for a substantial number of buildings. This paper presents a text-mining approach to reveal the relationships between environmental conditions and occupant dissatisfaction in large populations. With a set of 1.2 million Booking.com open-ended reviews (i.e., 71,665 IEQ reviews) of temporary residences (e.g., hotels), we identified the prevalence of IEQ complaints, investigated the climate distributions and seasonal trends of IEQ complaints, and quantified the social benefits of IEQ in economic values.
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