Modeling and comparing central and room air conditioning ownership and cold-season in-home thermal comfort using the American Housing Survey.

ABSTRACT: Household-level information on central air conditioning (cenAC) and room air conditioning (rmAC) air conditioning and cold-weather thermal comfort are often missing from publicly available housing databases hindering research and action on climate adaptation and air pollution exposure reduction. We modeled these using information from the American Housing Survey for 2003-2013 and 140 US core-based statistical areas employing variables that would be present in publicly available parcel records. We present random-intercept logistic regression models with either cenAC, rmAC or "home was uncomfortably cold for 24 h or more" (tooCold) as outcome variables and housing value, rented vs. owned, age, and multi- vs. single-family, each interacted with cooling- or heating-degree days as predictors. T

SUBMITTER: Gronlund CJ 

PROVIDER: S-EPMC7483423 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature