C.J. Gabbe

Santa Clara University
Country flagUnited States

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Articles (10)

Year:

2025

Year:

2025

This study uses data from the 2020 nationally-representative U.S. Residential Energy Consumption Survey (RECS) to analyze the under-explored relationship between housing type, household characteristics, and two novel heat health risk measures. We use a combination of descriptive analysis and logistic regression models. The results show that renters and residents of lower-cost housing types – multifamily and manufactured housing – are much more likely to keep their homes at unhealthy temperatures and require medical attention due to hot indoor temperatures. We also find stark disparities in heat risk for households with lower incomes, seniors, and Black, Native American, multiracial, and Hispanic households.

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Collaborators (2)

Ladd Keith

Assistant Professor of Planning and Sustainable Built Environments

University of Arizona

UNITED STATES
View details

Gregory Pierce

University of California

UNITED STATES
View details
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