The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.
Global scenarios of urban density and its impacts on building energy use through 2050
Open accessAbstract
Significance: Urban density significantly impacts urban energy use and the quality of life of urban residents. Here, we provide a global-scale analysis of future urban densities and associated energy use in the built environment under different urbanization scenarios. The relative importance of urban density and energy-efficient technologies varies geographically. In developing regions, urban density tends to be the more critical factor in building energy use. Large-scale retrofitting of building stock later rather than sooner results in more energy savings by the middle of the century. Reducing building energy use, improving the local environment, and mitigating climate change can be achieved through systemic efforts that take potential co-benefits and trade-offs of both higher urban density and building energy efficiency into account.
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“Although urban dwellers have less floor space per person than rural dwellers [50,51], the ongoing transition of humanity to cities is not enough to counterbalance the overall trend of increasing per capita floor area.”
From Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review (2019) · cites this paper as [50]
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Citations
Cites
World Population Prospects The 2006 Revision
Zlotnik, H. (2007) · United Nations eBooks · Cited by 7,896
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-citationLocation 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
A Meta-Analysis of Global Urban Land Expansion
Seto, K. C., Fragkias, M., Güneralp, B., & Reilly, M. K. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023777 · Cited by 2,406
Self-citationSaelens, B. E., Sallis, J. F., & Frank, L. D. (2003) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm2502_03 · Cited by 2,285
Sustainability and Cities: Overcoming Automobile Dependence
Newman, P. W. G., & Kenworthy, J. R. (1999) · Cited by 2,069
Neighborhood-based differences in physical activity: an environment scale evaluation
Saelens, B. E., Sallis, J. F., Black, J. B., & Chen, D. (2003) · American Journal of Public Health · doi:10.2105/ajph.93.9.1552 · Cited by 1,954
The New Palgrave dictionary of economics
(2008) · Choice Reviews Online · doi:10.5860/choice.46-0666 · Cited by 1,677
Carbon 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
Research works printed but not linked: 4
- S Salat, F Labbé, C Nowacki, G Walker Cities and Forms: On Sustainable Urbanism (Hermann, Paris, 2011).
- ; LSE/EIFER Cities and Energy: Urban Morphology and Heat Energy Demand London School of Economics and Political Science (LSE)—Cities and the European Institute for Energy Research (EIFER, London, 2014).
- L Clarke, CCSP Synthesis and Assessment Product 2.1, Part A: Scenarios of Greenhouse Gas Emissions and Atmospheric Concentrations (US Government Printing Office, Washington, DC, 2007).
- D Ürge-Vorsatz, Best Practice Policies for Low Carbon & Energy Buildings Based on Scenario Analysis Center for Climate Change and Sustainable Energy Policy (3CSEP) and Global Buildings Performance Network (Global Buildings Performance Network, Paris, 2012).
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Narváez, A. J. V., Castilla, T. J., & Ballut-Dajud, G. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6174104
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Zhao, L., Huang, G., Cong, J., Song, L., & Chen, W. (2026) · Environmental Research Infrastructure and Sustainability · doi:10.1088/2634-4505/ae5e04
Yayla, A., Danneaux, A., Schurer, E., Gao, M., Demirci, C., Rose, C. M., van Ewijk, S., & Myers, R. J. (2026) · Environmental Science & Technology · doi:10.1021/acs.est.5c12250
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Meng, Y., Sun, Y., Rahimian, F. P., & Xue, B. (2026) · Lecture notes in civil engineering · doi:10.1007/978-981-95-8489-5_47
Al-Maadid, A. A., Ali, M. S. B., & Bergougui, B. (2026) · Energy Reports · doi:10.1016/j.egyr.2026.109410
Han, R., Fan, X., Liu, J., Zhang, W., Bei, W., Ge, Q., Xu, J., & Yao, R. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6864570
(32376), H. L., Zhang, R., Peng, X., & Guo, Y. (2026) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2026.108541
Bang, K. R., Kwon, C., Shin, Y. J., Kwon, N. H., Koh, J., Kim, Y. Y., Kim, S., & Cho, E. S. (2026) · ACS Nano · doi:10.1021/acsnano.6c07228
Korsavi, S. S., Iulo, L. D., & Azari, R. (2026) · Sustainable Cities and Society · doi:10.1016/j.scs.2026.107618
Impact of future urban expansion on biodiversity in China under different population scenarios
Chen, F., Wang, W., & Zhang, C. (2026) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2026.1832427
Xinxian, Q. I., Yanfeng, D. I., Peng, P. A. N., Geng, L. I. U., Tianyu, W. A. N. G., ZHANG, H., & Huang, X. (2026) · Sustainable Cities and Society · doi:10.1016/j.scs.2026.107695
Urban form evolution and regional disparities in China over three decades of rapid urbanization
Tian, Y., Yan, M., Huang, F., Yang, X., Zhou, L., Luo, Z., Li, S., Shen, Y.-S., Xie, W., & Xu, L. (2026) · Discover Sustainability · doi:10.1007/s43621-026-03635-6
Structural constraints on building decarbonization in electricity-dominant cities
Huang, Q., Zhang, S., Chen, L., Wang, X., Wang, Z., & Zhang, C. (2026) · Nexus · doi:10.1016/j.ynexs.2026.100161
Chen, L., Yu, W., Hu, Z., & Gao, S. (2026) · Land · doi:10.3390/land15071295
Yakubu, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7076018
Kraus, M. H. (2026) · Springer eBooks · doi:10.1007/978-3-658-52442-5_4
Shen, W., Zhang, Z., de Vries, W. T., Yang, Y., Gao, H., & Niu, L. (2026) · Land Use Policy · doi:10.1016/j.landusepol.2026.108277
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Ziaulla, & S, V. A. (2026) · ShodhSamajik Journal of Social Studies · doi:10.29121/shodhsamajik.v3.i1.2026.140
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Corbett, D., Salehi, P., Roberts, D., Foth, M., van Staden, M., Barnwal, A., & Asadzadeh, A. (2026) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-112624-023844
Shakoor, M. S. A., Raza, M., Faridi, R. A., & Vashishtha, D. (2026) · Journal of Housing and the Built Environment · doi:10.1007/s10901-026-10346-x
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Pedraz, G. B., Paier, M. F., Verheyen, J., Annunziata, E., Biresselioglu, E., Calıs, G., Franceschinis, C., Koljonen, T., Pisciella, P., SİVRİKAYA, A., et al. (2026) · Energy Research & Social Science · doi:10.1016/j.erss.2026.104968
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Cai, D., Shangguan, Z., Gao, Y., & Yang, D. (2026) · Systems · doi:10.3390/systems14101280
Sleman, S. H., Jawhar, S. S., & Atakara, C. (2026) · Turkish Journal of Engineering · doi:10.31127/tuje.1968745
Xu, G., 지용준, ZHAO, Y., Wang, Y., Hu, J., Pan, H., Wu, Z., Li, J., Yao, L., Li, H., et al. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.115442
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Self-citation
Metadata
- Authors
- Güneralp, B., Zhou, Y., Ürge-Vorsatz, D., Gupta, M., Yu, S., Patel, P. L., Fragkias, M., Li, X., & Seto, K. C.
- Affiliations
- Texas A&M University (US)
- Iowa State University (US)
- Centre for Climate Change and Sustainable Energy Policy, Central European University, 1051 Budapest, Hungary;
- Central European University (AT)
- Joint Global Change Research Institute (US)
- Boise State University (US)
- Yale University (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-01-09
- Volume
- 114
- Issue
- 34
- Pages
- 8945-8950
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5576775
- OpenAlex
- W2570837382
- Cited by
- 543
- References
- 46
- Citations by year
- 2026: 52 · 2025: 65 · 2024: 57 · 2023: 47 · 2022: 75 · 2021: 58 · 2020: 56 · 2019: 39 · 2018: 82 · 2017: 11
- FWCI
- 48.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Center for Eco-Environmental Sciences OpenIR (Chinese Academy of Sciences) (submittedVersion, cc-by-nc-sa)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Greater South Information System
- Funders
- U.S. Department of Energy (DE-AC05-76RL01830)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
- Keywords
- urban density, building energy consumption, urbanization, heating and cooling energy, energy scenarios, building retrofit, energy efficiency, urban form, climate change mitigation, China, Asia, developing cities
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