The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
The carbon footprint of household energy use in the United States
Open accessAbstract
Significance: This study uses data on ∼93 million individual homes to perform the most comprehensive study of greenhouse gases from residential energy use in the United States. We provide nationwide rankings of carbon intensity of homes in states and ZIP codes and offer correlations between affluence, floor space, and emissions. Scenarios demonstrate this sector cannot achieve the Paris Agreement 2050 target by decarbonizing electricity production alone. Meeting this target will also necessitate a broad portfolio of zero emission energy solutions and behavioral change associated with housing preferences. To support policy, we estimate the reductions in floor space and increases in density needed to build low-carbon communities.
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The next generation of scenarios for climate change research and assessment
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
Trajectories of the Earth System in the Anthropocene
Steffen, W., Rockström, J., Richardson, K., Lenton, T. M., Folke, C., Liverman, D., Summerhayes, C. P., Barnosky, A. D., Cornell, S. E., Crucifix, M., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1810141115 · Cited by 3,139 · cited 1×
“This lack of progress undermines the substantial emission reductions needed to mitigate climate change (7).”
BackgroundCarbon lock-in: types, causes, and policy implications
Seto, K. C., Davis, S. J., Mitchell, R. B., Stokes, E. C., Unruh, G., & Ürge-Vorsatz, D. (2016) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-110615-085934 · Cited by 1,346
Use, E. (1990) · Medical Entomology and Zoology · Cited by 1,184
Scattered data interpolation with multilevel B-splines
Lee, S., Wolberg, G., & Shin, S. Y. (1997) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.620490 · Cited by 1,046
Gasoline Consumption and Cities: A Comparison of U.S. Cities with a Global Survey
Newman, P. W. G., & Kenworthy, J. R. (1989) · Journal of the American Planning Association · doi:10.1080/01944368908975398 · Cited by 939
Edenhofer, O. (2015) · Intergovernmental Panel on Climate Change eBooks · Cited by 835
Global scenarios of urban density and its impacts on building energy use through 2050
Güneralp, B., Zhou, Y., Ürge-Vorsatz, D., Gupta, M., Yu, S., Patel, P. L., Fragkias, M., Li, X., & Seto, K. C. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606035114 · Cited by 543 · cited 3×
“Higher densities (and mixeduse development) are likely needed to confer appreciable spillover effects, such as increased low-carbon transport (18, 32, 46) and related economic, health, and social benefits (32, 33).”
BackgroundMethodJones, C., & Kammen, D. M. (2014) · Environmental Science & Technology · doi:10.1021/es4034364 · Cited by 498
Quantifying Carbon Footprint Reduction Opportunities for U.S. Households and Communities
Jones, C. M., & Kammen, D. M. (2011) · Environmental Science & Technology · doi:10.1021/es102221h · Cited by 450
Cited by
Pathways to a healthy net-zero future: report of the Lancet Pathfinder Commission
Whitmee, S., Green, R., Belesova, K., Hassan, S., Cuevas, S., Murage, P., Picetti, R., Clercq-Roques, R., Murray, K., Falconer, J., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(23)02466-2 · Cited by 112
Metadata
- Authors
- Goldstein, B., Gounaridis, D., & Newell, J. P.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2020-07-20
- Volume
- 117
- Issue
- 32
- Pages
- 19122-19130
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3044630931
- Cited by
- 363
- References
- 35
- FWCI
- 16.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Goldstein, B., Gounaridis, D., & Newell, J. P. (2020). The carbon footprint of household energy use in the United States. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1922205117
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
