  Window-opening and window-closing behaviors play an important role in indoor
environmental conditions and therefore have an impact on building energy
efficiency. On the other hand, the same environmental conditions drive
occupants to interact with windows. Understanding this mutual relationship of
interaction between occupants and the residential building is thus crucial to
improve energy efficiency without disregarding occupants' comfort. This paper
investigates the influence of physical environmental variables (i.e., indoor
and outside climate parameters) and categorical variables (i.e., time of the
day) on occupants' behavior patterns related to window operation, utilizing a
multivariate logistic regression analysis. The data considered in this study
are collected during winter months, when the effect on the energy consumption
of the window operation is the highest, at a Swedish residential building, the
KTH Live-In Lab, accommodating four occupants in separate studio apartments.
Although all the occupants seem to share a sensitivity to some common factors,
such as air quality and time of the day, we can also observe individual
variability with respect to the most significant drivers influencing window
operation behaviors.
