The DOI matches its Crossref record; 38 of the 39 references it cites were found in a registry or an index, and 1 are not checked yet.
Global typology of urban energy use and potentials for an urbanization mitigation wedge
Open accessAbstract
Significance: Many case studies of specific cities have investigated factors that contribute to urban energy use and greenhouse-gas emissions. The analysis in this study is based on data from 274 cities and three global datasets and provides a typology of urban attributes of energy use. The results highlight that appropriate policies addressing urban climate change mitigation differ with type of city. A global urbanization wedge, corresponding in particular to energy-efficient urbanization in Asia, might reduce urban energy use by more than 25%, compared with a business-as-usual scenario.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Urban planning, street space rededication, smart logistical systems and increased street connectivity with smaller distances have the largest potential to reduce the need for travel 33,34 , with a counterfactual potential of 25% reduction in urban energy use in 2050 considering only newly built cities (repercussion effects in the buildings sector are included in this estimate) 35 .”
From Demand-side solutions to climate change mitigation consistent with high levels of well-being (2022) · cites this paper as [35]
In the citing paper
“Creutzig et al. [151] related the energy use of 300 cities worldwide to historical structural factors such as fuel taxes (which have a strong impact on urban sprawl).”
From Tackling climate change with machine learning (2023) · cites this paper as [151]
In the citing paper
“For instance, urban sprawl influences the energy use from transport, as wider cities tend to be more car-oriented [151,189,228].”
From Tackling climate change with machine learning (2023) · cites this paper as [151]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Draper, N. R., & Smith, H. (2005) · Technometrics · doi:10.1198/tech.2005.s303 · Cited by 17,993
Travel and the Built Environment
Ewing, R., & Cervero, R. (2010) · Journal of the American Planning Association · doi:10.1080/01944361003766766 · Cited by 5,775
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211658109 · Cited by 5,086
Self-citationDraper, N. R., & Smith, H. (1998) · Wiley series in probability and statistics · doi:10.1002/9781118625590 · Cited by 5,086
Location and Land Use: Toward a General Theory of Land Rent
Alonso, W. (1964) · Cited by 3,820
Alonso, W. (1964) · Harvard University Press eBooks · doi:10.4159/harvard.9780674730854 · Cited by 3,673
Fixed-and random-effects models in meta-analysis.
Hedges, L. V., & Vevea, J. L. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.486 · Cited by 2,977
Inference When a Nuisance Parameter Is Not Identified Under the Null Hypothesis
Hansen, B. E. (1996) · Econometrica · doi:10.2307/2171789 · Cited by 2,312
A Guide to Modern Econometrics
Verbeek, M. (2000) · RePEc: Research Papers in Economics · Cited by 1,777
Carbon Footprint of Nations: A Global, Trade-Linked Analysis
Hertwich, E. G., & Peters, G. P. (2009) · Environmental Science & Technology · doi:10.1021/es803496a · Cited by 1,715
Cited by
Sorted by citations
Future urban land expansion and implications for global croplands
d’Amour, C. B., Reitsma, F., Baiocchi, G., Barthel, S., Güneralp, B., Erb, K., Haberl, H., Creutzig, F., & Seto, K. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606036114 · Cited by 1,464
Self-citationGao, J., & O’Neill, B. C. (2020) · Nature Communications · doi:10.1038/s41467-020-15788-7 · Cited by 709
Consumption-based emission accounting for Chinese cities
Mi, Z., Zhang, Y., Guan, D., Shan, Y., Liu, Z., Cong, R., Yuan, X.-C., & Wei, Y. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.06.094 · Cited by 637
Methodology and applications of city level CO2 emission accounts in China
Shan, Y., Guan, D., Liu, J., Mi, Z., Liu, Z., Liu, J., Schroeder, H., Cai, B., Chen, Y., Shao, S., et al. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.06.075 · Cited by 593
Demand-side solutions to climate change mitigation consistent with high levels of well-being
Creutzig, F., Niamir, L., Bai, X., Callaghan, M., Cullen, J., Díaz-José, J., Figueroa, M., Grubler, A., Lamb, W. F., Leip, A., et al. (2022) · Nature Climate Change · doi:10.1038/s41558-021-01219-y · Cited by 579
Self-citation
Metadata
- Authors
- Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P., & Seto, K. C.
- Affiliations
- Mercator Research Institute on Global Commons and Climate Change (DE)
- University of Maryland, College Park (US)
- Potsdam Institute for Climate Impact Research (DE)
- Yale University (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-01-12
- Volume
- 112
- Issue
- 20
- Pages
- 6283-6288
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4443311
- OpenAlex
- W2123954521
- Cited by
- 598
- References
- 39
- Citations by year
- 2026: 54 · 2025: 53 · 2024: 50 · 2023: 37 · 2022: 50 · 2021: 56 · 2020: 56 · 2019: 56 · 2018: 97 · 2017: 44 · 2016: 25 · 2015: 18
- FWCI
- 18.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Sustainable Development
- Keywords
- urban energy consumption, climate change mitigation, urban greenhouse gas emissions, transportation energy use, compact city, urban planning policy, transport planning policy, gasoline prices, population density, urban expansion, urban typology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
