气候变化领域集成服务门户(CCPortal): Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio

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DOI	10.1016/j.enpol.2021.112651
	Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio
	Moore D.; Webb A.L.
发表日期	2022
ISSN	0301-4215
卷号	160
英文摘要	Energy burden, the proportion of household income spent on energy costs, is driven by numerous social, economic, and material factors which also vary spatially. Efforts to identify high energy burden households have often omitted this spatial component, resulting in an incomplete picture of energy burden dynamics. The goal of this study is to examine the predictors of energy burden at the urban scale using spatial regression. A combination of ordinary least squares regression, geographically weighted regression (GWR), and multiscale geographically weighted regression (MGWR) were used to predict energy burden from a range of socioeconomic and physical predictors in Cincinnati, Ohio. The results indicate that socioeconomic variables, especially income-related variables, are the strongest predictors of energy burden, and that spatial models resulted in a better model fit than non-spatial models. The best fitting model showed that lower median household income, and higher proportions of households in poverty, non-white residents, gas-heated households, and two-family buildings were significant predictors of energy burden. These results highlight the need for more effective income-based targeting of energy assistance programs, and provide an example of how spatial analysis methods can be used to help cities develop data-driven policy to reduce energy burden. © 2021 The Authors
英文关键词	Energy insecurity; Energy justice; Fuel poverty; Geographically weighted regression; Multiscale geographically weighted regression
语种	英语
scopus关键词	Regression analysis; Cincinnati; Energy; Energy insecurity; Energy justices; Fuel poverty; Geographically weighted regression; Multiscale geographically weighted regression; Spatial regression; Urban scale; Heating; energy use; household income; poverty; regression analysis; socioeconomic conditions; spatial analysis; urban area; Cincinnati; Ohio; United States
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256445
作者单位	Department of Civil and Architectural Engineering and Construction Management, University of Cincinnati, 2850 Campus Way Drive, Cincinnati, OH 45221-0071, United States
推荐引用方式 GB/T 7714	Moore D.,Webb A.L.. Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio[J],2022,160.
APA	Moore D.,&Webb A.L..(2022).Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio.Energy Policy,160.
MLA	Moore D.,et al."Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio".Energy Policy 160(2022).