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Learning about urban climate solutions from case studies
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“The literature on city-scale mitigation strategies is also strongly biased towards the Global North [466], while key mitigation challenges are expected to arise from the Global South [570].”
From Tackling climate change with machine learning (2023) · cites this paper as [466]
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Cites
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
Five misunderstandings about case-study research
Flyvbjerg, B. (2006) · Qualitative Inquiry · doi:10.1177/1077800405284363 · Cited by 14,266
Learning the parts of objects by non-negative matrix factorization
Lee, D. D., & Seung, H. S. (1999) · Nature · doi:10.1038/44565 · Cited by 14,193
World Urbanization Prospects: The 1996 Revision
Brockerhoff, M. P., & Nations, U. (1998) · Population and Development Review · doi:10.2307/2808041 · Cited by 5,900
Comparative Politics and the Comparative Method
Lijphart, A. (1971) · American Political Science Review · doi:10.2307/1955513 · Cited by 3,151
A good life for all within planetary boundaries
O’Neill, D. W., Fanning, A. L., Lamb, W. F., & Steinberger, J. K. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0021-4 · Cited by 1,452
Self-citationThe greenness of cities: Carbon dioxide emissions and urban development
Glaeser, E. L., & Kahn, M. E. (2009) · Journal of Urban Economics · doi:10.1016/j.jue.2009.11.006 · Cited by 1,257
Global Energy Assessment: Toward a Sustainable Future
Global Energy Assessment Writing Team (2012) · IIASA PURE (International Institute of Applied Systems Analysis) · Cited by 1,167
A survey of urban climate change experiments in 100 cities
Broto, V. C., & Bulkeley, H. (2013) · Global Environmental Change · doi:10.1016/j.gloenvcha.2012.07.005 · Cited by 974
A methodology for systematic mapping in environmental sciences
James, K. L., Randall, N. P., & Haddaway, N. R. (2016) · Environmental Evidence · doi:10.1186/s13750-016-0059-6 · Cited by 769
Reckien, D., Salvia, M., Heidrich, O., Church, J. M., Pietrapertosa, F., Hurtado, S. D. G., D’Alonzo, V., Foley, A. M., Simões, S. G., Lorencová, E. K., et al. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.03.220 · Cited by 683
QUALITATIVE RESEARCH: Recent Developments in Case Study Methods
Bennett, A., & Elman, C. (2006) · Annual Review of Political Science · doi:10.1146/annurev.polisci.8.082103.104918 · Cited by 633
Global typology of urban energy use and potentials for an urbanization mitigation wedge
Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P., & Seto, K. C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315545112 · Cited by 598
Self-citationThe urban south and the predicament of global sustainability
Nagendra, H., Bai, X., Brondizio, E. S., & Lwasa, S. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0101-5 · Cited by 564
Systematic review approaches for climate change adaptation research
Berrang-Ford, L., Pearce, T., & Ford, J. D. (2015) · Regional Environmental Change · doi:10.1007/s10113-014-0708-7 · Cited by 474
Building a global urban science
Acuto, M., Parnell, S. M., & Seto, K. C. (2018) · Nature Sustainability · doi:10.1038/s41893-017-0013-9 · Cited by 455
Carbon footprints of 13 000 cities
Moran, D. D., Kanemoto, K., Jiborn, M., Wood, R. A., Többen, J., & Seto, K. C. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aac72a · Cited by 417
Reckien, D., Flacke, J., Dawson, R., Heidrich, O., Olazabal, M., Foley, A. M., Hamann, J. J.-P., Orru, H., Salvia, M., Hurtado, S. D. G., et al. (2013) · Climatic Change · doi:10.1007/s10584-013-0989-8 · Cited by 380
Twelve metropolitan carbon footprints: A preliminary comparative global assessment
Sovacool, B. K., & Brown, M. A. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.10.001 · Cited by 359
Sustainability in an urbanizing planet
Seto, K. C., Golden, J. S., Alberti, M., & Turner, B. L. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606037114 · Cited by 357
Climate change and cities: first assessment report of the Urban Climate Change Research Network
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3876 · Cited by 315
Feng, K., Hubacek, K., Sun, L., & Liu, Z. (2014) · Ecological Indicators · doi:10.1016/j.ecolind.2014.04.045 · Cited by 269
Urban infrastructure choices structure climate solutions
Creutzig, F., Agoston, P., Minx, J. C., Canadell, J. G., Andrew, R. M., Quéré, C. L., Peters, G. P., Sharifi, A., Yamagata, Y., & Dhakal, S. (2016) · Nature Climate Change · doi:10.1038/nclimate3169 · Cited by 266
Self-citationBenefits of green roofs: A systematic review of the evidence for three ecosystem services
Møller, L. F., & Jensen, M. B. (2017) · Urban forestry & urban greening · doi:10.1016/j.ufug.2017.10.015 · Cited by 240
Locking in positive climate responses in cities
Ürge-Vorsatz, D., Rosenzweig, C. E., Dawson, R., Sánchez-Rodríguez, R., Bai, X., Barau, A. S., Seto, K. C., & Dhakal, S. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0100-6 · Cited by 234
Decarbonising transport to achieve Paris Agreement targets
Gota, S., Huizenga, C., Peet, K., Medimorec, N., & Bakker, S. (2019) · Energy Efficiency · doi:10.1007/s12053-018-9671-3 · Cited by 221
Studying local climate adaptation: A heuristic research framework for comparative policy analysis
Vogel, B., & Henstra, D. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.01.001 · Cited by 218
Wiedenhofer, D., Manfred Lenzen, A., & Steinberger, J. K. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.07.035 · Cited by 218
The benefits of systematic mapping to evidence-based environmental management
Haddaway, N., Bernes, C., Jonsson, B. G., & Hedlund, K. (2016) · AMBIO · doi:10.1007/s13280-016-0773-x · Cited by 207
Learning about climate change solutions in the IPCC and beyond
Minx, J. C., Callaghan, M., Lamb, W. F., Garard, J., & Edenhofer, O. (2017) · Environmental Science & Policy · doi:10.1016/j.envsci.2017.05.014 · Cited by 201
Self-citationThe economic benefits and costs of trees in urban forest stewardship: A systematic review
Song, X. P., Tan, P. Y., Edwards, P. J., & Richards, D. R. (2017) · Urban forestry & urban greening · doi:10.1016/j.ufug.2017.11.017 · Cited by 190
Schaller, B. (2010) · Transport Policy · doi:10.1016/j.tranpol.2010.01.013 · Cited by 182
Louf, R., & Barthelemy, M. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2014.0924 · Cited by 181
Public Acceptability of Road User Charging: The Case of Edinburgh and the 2005 Referendum
Gaunt, M., Rye, T., & Allen, S. (2006) · Transport Reviews · doi:10.1080/01441640600831299 · Cited by 178
Reducing Urban Greenhouse Gas Footprints
Pichler, P., Zwickel, T., Chávez, A., Kretschmer, T., Wallack, J. S., & Weisz, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-15303-x · Cited by 173
Decarbonizing urban transport in European cities: four cases show possibly high co-benefits
Creutzig, F., Mühlhoff, R., & Römer, J. (2012) · Environmental Research Letters · doi:10.1088/1748-9326/7/4/044042 · Cited by 143
Self-citationCity transformations in a 1.5 °C warmer world
Solecki, W., Rosenzweig, C., Dhakal, S., Roberts, D., Barau, A. S., Schultz, S., & Ürge-Vorsatz, D. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0101-5 · Cited by 141
Upscaling urban data science for global climate solutions
Creutzig, F., Lohrey, S., Bai, X., Baklanov, A., Dawson, R., Dhakal, S., Lamb, W. F., McPhearson, T., Minx, J., Munoz, E., et al. (2019) · Global Sustainability · doi:10.1017/sus.2018.16 · Cited by 137
Self-citationScientists must have a say in the future of cities
McPhearson, T., Parnell, S., Simon, D., Gaffney, O., Elmqvist, T., Bai, X.-M., Roberts, D., & Revi, A. (2016) · Nature · doi:10.1038/538165a · Cited by 136
Improving the evidence base for energy policy: The role of systematic reviews
Sorrell, S. (2006) · Energy Policy · doi:10.1016/j.enpol.2006.06.008 · Cited by 133
Mierke, C. T., Fischer, T., Puder, S., Kunschmann, T., Soetje, B., & Ziegler, W. H. (2017) · Scientific Reports · doi:10.1038/srep46435 · Cited by 129
Kastner, M., Antony, J., Soobiah, C., Straus, S. E., & Tricco, A. C. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2015.11.022 · Cited by 126
A spatial typology of human settlements and their CO2 emissions in England
Baiocchi, G., Creutzig, F., Minx, J. C., & Pichler, P. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.06.001 · Cited by 113
Self-citationRosenzweig, C. E., SOLECKI, W. D., Romero‐Lankao, P., Mehrotra, S., Dhakal, S., Bowman, T. E., & Ibrahim, S. A. (2015) · NASA Technical Reports Server (NASA) · Cited by 110
The Scientific Impact of Developing Nations
González-Brambila, C. N., Reyes-Gonzalez, L., Veloso, F. M., & Pérez‐Angón, M. Á. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151328 · Cited by 105
A global dataset of CO2 emissions and ancillary data related to emissions for 343 cities
Nangini, C., Peregon, A. M., Ciais, P., Weddige, U., Vogel, F., Wang, J., Bréon, F., Bachra, S., Wang, Y., Gurney, K. R., et al. (2019) · Scientific Data · doi:10.1038/sdata.2018.280 · Cited by 105
Self-citationHow does tillage intensity affect soil organic carbon? A systematic review protocol
Haddaway, N., Hedlund, K., Jackson, L. E., Kätterer, T., Lugato, E., Thomsen, I. K., Jørgensen, H. B., & Isberg, P. (2016) · Environmental Evidence · doi:10.1186/s13750-016-0052-0 · Cited by 96
Assessing human and environmental pressures of global land-use change 2000–2010
Creutzig, F., Bren d'Amour, C., Weddige, U., Fuss, S., Beringer, T., Gläser, A., Kalkuhl, M., Steckel, J. C., Radebach, A., & Edenhofer, O. (2019) · Global Sustainability · doi:10.1017/sus.2018.15 · Cited by 96
Self-citationThe role of reporting standards in producing robust literature reviews
Haddaway, N., & Macura, B. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0180-3 · Cited by 90
Assessing the success of electricity demand response programs: A meta-analysis
Srivastava, A., Passel, S. V., & Laes, E. (2017) · Energy Research & Social Science · doi:10.1016/j.erss.2017.12.005 · Cited by 85
Cascading biases against poorer countries
Kartha, S., Athanasiou, T., Caney, S., Cripps, E., Dooley, K., Dubash, N. K., Fei, T., Harris, P. G., Holz, C., Lahn, B., et al. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0152-7 · Cited by 84
Can We Generalize from Case Studies?
Steinberg, P. F. (2015) · Global Environmental Politics · doi:10.1162/glep_a_00316 · Cited by 78
The use of energy system models for analysing the transition to low-carbon cities – The case of Oslo
Lind, A., & Espegren, K. A. (2017) · Energy Strategy Reviews · doi:10.1016/j.esr.2017.01.001 · Cited by 74
The global south is rich in sustainability lessons that students deserve to hear
Nagendra, H. (2018) · Nature · doi:10.1038/d41586-018-05210-0 · Cited by 72
A Meta-analytical Evaluation of Sustainable City Initiatives
Nijkamp, P. J., & Pepping, G. (1998) · Urban Studies · doi:10.1080/0042098984240 · Cited by 71
How fuel prices determine public transport infrastructure, modal shares and urban form
Creutzig, F. (2014) · Urban Climate · doi:10.1016/j.uclim.2014.09.003 · Cited by 71
Self-citationThe politics of rapid urban transformation
Grandin, J., Haarstad, H., Kjærås, K., & Bouzarovski, S. (2017) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2017.12.002 · Cited by 62
Huang, P., & Broto, V. C. (2018) · Environmental Innovation and Societal Transitions · doi:10.1016/j.eist.2018.03.004 · Cited by 58
Acuto, M., & Parnell, S. M. (2016) · Science · doi:10.1126/science.aag1385 · Cited by 57
Fraser, A., Pelling, M., & Solecki, W. (2016) · Routledge eBooks · doi:10.4324/9781315645421 · Cited by 48
The literature landscape on 1.5 °C climate change and cities
Lamb, W. F., Callaghan, M., Creutzig, F., Khosla, R., & Minx, J. C. (2018) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2018.02.008 · Cited by 40
Self-citationAmbiguous Geographies: Connecting Case Study Knowledge with Global Change Science
Margulies, J. D., Magliocca, N. R., Schmill, M. D., & Ellis, E. C. (2016) · Annals of the American Association of Geographers · doi:10.1080/24694452.2016.1142857 · Cited by 32
Future proofing cities: risks and opportunities for inclusive urban growth in developing countries.
Godfrey, N., & Savage, R. (2012) · Cited by 19
Research works printed but not linked: 3
- Romero-Lankao, P. & Hardoy, J. in The Urban Climate Challenge: Rethinking the Role of Cities in the Global Climate Regime (eds. Johnson, C., Toly, N. & Schroeder, H.) 181–204 (Routledge, London, 2015).
- Seto C., K. et al. in Climate Change 2014: Mitigation of Climate Change (eds Edenhofer, O. et al) 923–1000 (IPCC, Cambridge Univ. Press, 2014).
- IPCC: Summary for Policymakers in Special Report: Global Warming of 1.5 o C (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2018).
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Self-citation
Metadata
- Authors
- Lamb, W. F., Creutzig, F., Callaghan, M. W., & Minx, J. C.
- Affiliations
- University of Leeds (GB)
- Mercator Research Institute on Global Commons and Climate Change (DE)
- Corresponding author
- Lamb, William F.
- Venue
- Nature Climate Change
- Published
- 2019-03-18
- Volume
- 9
- Issue
- 4
- Pages
- 279-287
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2921017284
- Cited by
- 163
- References
- 65
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 26 · 2023: 24 · 2022: 23 · 2021: 31 · 2020: 22 · 2019: 8
- FWCI
- 8.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Sustainable Development
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Keywords
- urban climate change mitigation, case studies, literature mapping, urban typology, climate policy, scientometrics, machine learning
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