Dataset Information

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. The out-of-sample predicted probabilities for years 2015-2017 were compared with corresponding American Housing Survey values (0 or 1). Using a 0.5 probability threshold, the model had 63% specificity (true negative rate), and 91% sensitivity (true positive rate) for cenAC, while specificity and sensitivity for rmAC were 94% and 34%, respectively. Area-specific sensitivities and specificities varied widely. For tooCold, the overall sensitivity was effectively 0%. Future epidemiologic studies, heat vulnerability maps, and intervention screenings may reliably use these or similar AC models with parcel-level data to improve understanding of health risk and the spatial patterning of homes without AC.

SUBMITTER: Gronlund CJ

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

REPOSITORIES: biostudies-literature

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

Gronlund Carina J CJ Berrocal Veronica J VJ

Journal of exposure science & environmental epidemiology 20200313 5

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. W ...[more]

PMID: 32203058

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Project description:Data from post-occupancy studies in real constructions have been instrumental in the development of mainstream thermal comfort standards for the built environment. However, there is growing evidence of the need to advance these standards, through more robust and comprehensive fieldwork records from a broader spectrum of geographies, climates, architectural characteristics and occupancies. It has been shown that the standards have limited suitability in environments such as educational buildings, as they were developed based mainly on adult subjects working in offices. The lack of guidance in data collection methodologies is also thought to require particular attention, as the accuracy of the assessment models relies significantly on the quality of the information gathered. This manuscript proposes a method to systematically acquire an extensive range of data specifically from school classrooms. The method seeks to improve current techniques as follows: •The post-occupancy surveys suggested in mainstream standards focus mainly on the collection of physical and environmental parameters related to adult subjects. Classroom-comfort-data can be used to collect information not only on physical and environmental parameters but also on physiological and psychological aspects. It also includes tools tailored for occupants from different ages (7 years old and above).•The assessment models suggested in mainstream standards employ between 2-5 parameters to predict thermal comfort ranges. The Classroom-comfort-data method is designed to gather up to 49 different thermal comfort parameters, which allow a more comprehensive evaluation of perception and preference, as well as adaptive strategies, social context, and cognitive and emotional appraisals.•The existing surveys in the standards were formulated primarily for office environments in subtropical and temperate climates. The Classroom-comfort-data method can be adapted to fieldwork within different conditions of climate, building design, occupancy levels, and cultural contexts.

Dataset Information

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

Publications

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

Similar Datasets

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