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Upscaling urban data science for global climate solutions

  • Felix Creutzig (a1) (a2), Steffen Lohrey (a2), Xuemei Bai (a3), Alexander Baklanov (a4), Richard Dawson (a5), Shobhakar Dhakal (a6), William F. Lamb (a1), Timon McPhearson (a7) (a8) (a9), Jan Minx (a1), Esteban Munoz (a10) and Brenna Walsh (a11)...
Non-technical summary

Manhattan, Berlin and New Delhi all need to take action to adapt to climate change and to reduce greenhouse gas emissions. While case studies on these cities provide valuable insights, comparability and scalability remain sidelined. It is therefore timely to review the state-of-the-art in data infrastructures, including earth observations, social media data, and how they could be better integrated to advance climate change science in cities and urban areas. We present three routes for expanding knowledge on global urban areas: mainstreaming data collections, amplifying the use of big data and taking further advantage of computational methods to analyse qualitative data to gain new insights. These data-based approaches have the potential to upscale urban climate solutions and effect change at the global scale.

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Author for correspondence: F. Creutzig, E-mail:
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Acquisti, A., & Gross, R. (2009). Predicting social security numbers from public data. Proceedings of the National Academy of Sciences of the USA, 106(27), 1097510980.
Acuto, M., Parnell, S., & Seto, K. C. (2018). Building a global urban science. Nature Sustainability, 1(1), 2.
Ahmad, S., Baiocchi, G., & Creutzig, F. (2015). CO2 emissions from direct energy use of urban households in India. Environmental Science & Technology, 49(19), 1131211320.
Alberti, M., McPhearson, T., & Gonzalez, A. (2018). Embracing urban complexity. In The urban planet: knowledge towards sustainable cities. UK and USA: Cambridge University Press.
Alexander, C., Bynum, N., Johnson, E., King, U., Mustonen, T., Neofotis, P., … Weeks, B. (2011). Linking indigenous and scientific knowledge of climate change. BioScience, 61(6), 477484.
Arnfield, A. J. (2003). Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23(1), 126.
Atlas of Urban Expansion (2018). Atlas of Urban Expansion – Home. Retrieved from
Bagan, H., & Yamagata, Y. (2015). Analysis of urban growth and estimating population density using satellite images of nighttime lights and land-use and population data. GIScience & Remote Sensing, 52(6), 765780.
Bai, X. (2007 a). Industrial ecology and the global impacts of cities. Journal of Industrial Ecology, 11(2), 16.
Bai, X. (2007 b). Integrating global environmental concerns into urban management: the scale and readiness arguments. Journal of Industrial Ecology, 11(2), 1529.
Bai, X. (2016). Eight energy and material flow characteristics of urban ecosystems. Ambio, 45(7), 819830.
Bai, X., Dawson, R. J., Ürge-Vorsatz, D., Delgado, G. C., Barau, A. S., Dhakal, S., Dodman, D., Leonardsen, L., Masson-Delmotte, V., Roberts, D. C., & Schultz, S. (2018 a). Six research priorities for cities and climate change. Nature, 555(7694), 2325.
Bai, X., Elmqvist, T., Frantzeskaki, N., McPhearson, T., Simon, D., Maddox, D., … Roberts, D. (2018 b). Synthesis: new integrated urban knowledge for the cities we want. In Elmqvist, T., Bai, X., Frantzeskaki, N. et al. (eds.), The urban planet: knowledge toward livable cities. UK and USA: Cambridge University Press.
Bai, X., Roberts, B., & Chen, J. (2010). Urban sustainability experiments in Asia: patterns and pathways. Environmental Science & Policy, 13(4), 312325.
Baiocchi, G., Creutzig, F., Minx, J., & Pichler, P.-P. (2015). A spatial typology of human settlements and their CO2 emissions in England. Global Environmental Change, 34, 1321.
Baklanov, A., Grimmond, C. S. B., Carlson, D., Terblanche, D., Tang, X., Bouchet, V., … Hovsepyan, A. (2018). From urban meteorology, climate and environment research to integrated city services. Urban Climate, 23, 330341.
Balk, D. L., Deichmann, U., Yetman, G., Pozzi, F., Hay, S. I., & Nelson, A. (2006). Determining global population distribution: methods, applications and data. Advances in Parasitology, 62, 119156.
Barles, S. (2009). Urban metabolism of Paris and its region. Journal of Industrial Ecology, 13(6), 898913.
Batty, M. (2008). The size, scale, and shape of cities. Science, 319(5864), 769771.
Beekmann, M., Prévôt, A. S. H., Drewnick, F., Sciare, J., Pandis, S. N., Denier van der Gon, H. A. C., … Baltensperger, U. (2015). In situ, satellite measurement and model evidence on the dominant regional contribution to fine particulate matter levels in the Paris megacity. Atmospheric Chemistry and Physics, 15(16), 95779591.
Bettencourt, L. M., Lobo, J., Helbing, D., Kühnert, C., & West, G. B. (2007). Growth, innovation, scaling, and the pace of life in cities. Proceedings of the National Academy of Sciences of the USA, 104(17), 73017306.
Borck, R., & Brueckner, J. (2016). Optimal energy taxation in cities. Journal of the Association of Environmental and Resource Economists, 5(2), 481516.
Bounoua, L., Zhang, P., Mostovoy, G., Thome, K., Masek, J., Imhoff, M., … Toure, A. M. (2015). Impact of urbanization on US surface climate. Environmental Research Letters, 10(8), 084010.
Bouzarovski, S., & Simcock, N. (2017). Spatializing energy justice. Energy Policy, 107, 640648.
Bovensmann, H., Buchwitz, M., Burrows, J. P., Reuter, M., Krings, T., Gerilowski, K., … Erzinger, J. (2010). A remote sensing technique for global monitoring of power plant CO2 emissions from space and related applications. Atmospheric Measurement Techniques, 3(4), 781811.
Boyd, E., Ensor, J., Broto, V. C., & Juhola, S. (2014). Environmentalities of urban climate governance in Maputo, Mozambique. Global Environmental Change, 26, 140151.
Bren d'Amour, C., Reitsma, F., Baiocchi, G., Barthel, S., Güneralp, B., Erb, K.-H., … Seto, K. C. (2017). Future urban land expansion and implications for global croplands. Proceedings of the National Academy of Sciences of the USA, 114(34), 89398944.
Brković-Bajić, M. (2008). Digital realm: Implications on urban development and planning. Spatium, 17–18, 1320.
Broto, V. C., & Bulkeley, H. (2013). A survey of urban climate change experiments in 100 cities. Global Environmental Change, 23(1), 92102.
Brouwer, T., Eilander, D., Van Loenen, A., Booij, M. J., Wijnberg, K. M., Verkade, J. S., & Wagemaker, J. (2017). Probabilistic flood extent estimates from social media flood observations. Natural Hazards and Earth System Sciences, 17(5), 735.
Brunner, P. H. (2007). Reshaping urban metabolism. Journal of Industrial Ecology, 11(2), 1113.
Bulkeley, H., & Betsill, M. M. (2005). Cities and climate change: urban sustainability and global environmental governance (Vol. 4). UK: Psychology Press.
Bulkeley, H., & Betsill, M. M. (2013). Revisiting the urban politics of climate change. Environmental Politics, 22(1), 136154.
C40 (2015). Powering climate action: cities as global changemakers. Research report issued by C40 Cities and Arup.
Cai, B., Liang, S., Zhou, J., Wang, J., Cao, L., Qu, S., … Yang, Z. (2018). China high resolution emission database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data. Resources, Conservation and Recycling, 129, 232239.
Castelluccio, M., Poggi, G., Sansone, C., & Verdoliva, L. (2015). Land use classification in remote sensing images by convolutional neural networks. ArXiv Preprint, ArXiv:1508.00092.
CDP (2017 a). Cities community wide emissions. Retrieved from
Chavez, A., & Ramaswami, A. (2011). Progress toward low carbon cities: approaches for transboundary GHG emissions’ footprinting. Carbon Management, 2(4), 471482.
Chavez, A., Ramaswami, A., Nath, D., Guru, R., & Kumar, E. (2012). Implementing trans-boundary infrastructure-based greenhouse gas accounting for Delhi, India: data availability and methods. Journal of Industrial Ecology, 16(6), 814828.
Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., … Mills, J. (2015). Global land cover mapping at 30m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 727.
Chen, Q., Cai, B., Dhakal, S., Pei, S., Liu, C., Shi, X., & Hu, F. (2017). CO2 emission data for Chinese cities. Resources, Conservation and Recycling, 126, 198208.
Ching, J., Mills, G., Bechtel, B., See, L., Feddema, J., Wang, X., … & Theeuwes, N. (2018). World urban database and access portal tools (WUDAPT), an urban weather, climate and environmental modeling infrastructure for the Anthropocene. Bulletin of the American Meteorological Society, doi:10.1175/BAMS-D-16-0236.1.
CIESIN (2016). Global urban heat island (UHI) data set, 2013. NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved from
CIESIN, International Food Policy Research Institute – IFPRI, The World Bank, & Centro Internacional de Agricultura Tropical – CIAT. (2017). Global rural-urban mapping project, version 1 (GRUMPv1): urban extent polygons, revision 01. NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved from
CIESIN, & ITOS (2013). Global roads open access data set, version 1 (gROADSv1). NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved from
Clinton, N., & Gong, P. (2013). MODIS detected surface urban heat islands and sinks: Global locations and controls. Remote Sensing of Environment, 134, 294304.
Corburn, J. (2003). Bringing local knowledge into environmental decision making: Improving urban planning for communities at risk. Journal of Planning Education and Research, 22(4), 420433.
Crampton, J. W., Graham, M., Poorthuis, A., Shelton, T., Stephens, M., Wilson, M. W., & Zook, M. (2013). Beyond the geotag: situating ‘big data'and leveraging the potential of the geoweb. Cartography and Geographic Information Science, 40(2), 130139.
Cranshaw, J., Schwartz, R., Hong, J., & Sadeh, N. (2012). The livehoods project: Utilizing social media to understand the dynamics of a city. Association for the Advancement of Artificial Intelligence.
Creutzig, F. (2014). How fuel prices determine public transport infrastructure, modal shares and urban form. Urban Climate, 10, 6376.
Creutzig, F. (2015). Towards typologies of urban climate and global environmental change. Environmental Research Letters, 10(10), 101001.
Creutzig, F. (2016). Evolving narratives of low-carbon futures in transportation. Transport Reviews, 36(3), 341360.
Creutzig, F., Agoston, P., Minx, J. C., Canadell, J. G., Andrew, R. M., Le Quéré, C., … Dhakal, S. (2016). Urban infrastructure choices structure climate solutions. Nature Climate Change, 6(12), 10541056.
Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P., & Seto, K. C. (2015 a). Global typology of urban energy use and potentials for an urbanization mitigation wedge. Proceedings of the National Academy of Sciences of the USA, 112(20), 62836288.
Creutzig, F., Corbera, E., Bolwig, S., & Hunsberger, C. (2013). Integrating place-specific livelihood and equity outcomes into global assessments of bioenergy deployment. Environmental Research Letters, 8(3), 035047.
Creutzig, F., & He, D. (2009). Climate change mitigation and co-benefits of feasible transport demand policies in Beijing. Transportation Research Part D: Transport and Environment, 14(2), 120131.
Creutzig, F., Jochem, P., Edelenbosch, O. Y., Mattauch, L., van Vuuren, D. P., McCollum, D., & Minx, J. (2015 b). Transport: A roadblock to climate change mitigation? Science, 350(6263), 911912.
Creutzig, F., Mühlhoff, R., & Römer, J. (2012). Decarbonizing urban transport in European cities: four cases show possibly high co-benefits. Environmental Research Letters, 7(4), 044042.
Cullen, J. M., Allwood, J. M., & Borgstein, E. H. (2011). Reducing energy demand: what are the practical limits? Environmental Science & Technology, 45(4), 17111718.
De Rosa, M., Bianco, V., Scarpa, F., & Tagliafico, L. A. (2014). Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach. Applied Energy, 128, 217229.
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009). Imagenet: A large-scale hierarchical image database. In IEEE Conference on Computer Vision and Pattern Recognition, 2009. CVPR 2009 (pp. 248–255). USA: IEEE.
Dijst, M., Worrell, E., Böcker, L., Brunner, P., Davoudi, S., Geertman, S., … Zeyringer, M. (2018). Exploring urban metabolism – Towards an interdisciplinary perspective. Resources, Conservation and Recycling, 132, 190203.
Dilley, M. (2005). Natural disaster hotspots: a global risk analysis (Vol. 5). USA: World Bank Publications.
Doll, C. H., Muller, J.-P., & Elvidge, C. D. (2000). Night-time imagery as a tool for global mapping of socioeconomic parameters and greenhouse gas emissions. Ambio, 29(3), 157162.
Echenique, M. H., Hargreaves, A. J., Mitchell, G., & Namdeo, A. (2012). Growing cities sustainably. Journal of the American Planning Association, 78(2), 121137.
Elbers, C., Lanjouw, J. O., & Lanjouw, P. (2003). Micro-level estimation of poverty and inequality. Econometrica, 71(1), 355364.
Eldering, A., O'Dell, C. W., Wennberg, P. O., Crisp, D., Gunson, M. R., Viatte, C., … Chang, A. (2017). The orbiting carbon observatory-2: First 18 months of science data products. Atmospheric Measurement Techniques, 10(2), 549.
Esch, T., Heldens, W., Hirner, A., Keil, M., Marconcini, M., Roth, A., … Strano, E. (2017). Breaking new ground in mapping human settlements from space – The global urban footprint. ISPRS Journal of Photogrammetry and Remote Sensing, 134, 3042.
Ewing, R., & Cervero, R. (2010). Travel and the built environment – A meta-analysis. Journal of the American Planning Association, 76(3), 265294.
Facebook Connectivity Lab, & CIESIN (2016). High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Retrieved from
Fan, J., Rosenfeld, D., Zhang, Y., Giangrande, S. E., Li, Z., Machado, L. A., … Artaxo, P. (2018). Substantial convection and precipitation enhancements by ultrafine aerosol particles. Science, 359(6374), 411418.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., … Alsdorf, D. (2007). The Shuttle radar topography mission. Reviews of Geophysics, 45(2), RG2004.
Feiock, R. C., Krause, R. M., Hawkins, C. V., & Curley, C. (2014). The integrated city sustainability database. Urban Affairs Review, 50(4), 577589.
Frank, T. (2005). Climate change impacts on building heating and cooling energy demand in Switzerland. Energy and Buildings, 37(11), 11751185.
Frolking, S., Milliman, T., Seto, K. C., & Friedl, M. A. (2013). A global fingerprint of macro-scale changes in urban structure from 1999 to 2009. Environmental Research Letters, 8(2), 024004.
Fujita, M. (1989). Urban economic theory (First). UK and USA: Cambridge University Press.
Gallo, K. P., McNab, A. L., Karl, T. R., Brown, J. F., Hood, J. J., & Tarpley, J. D. (1993). The use of a vegetation index for assessment of the urban heat island effect. International Journal of Remote Sensing, 14(11), 22232230.
Ganguly, A. R., Steinhaeuser, K., Erickson, D. J., Branstetter, M., Parish, E. S., Singh, N., … Buja, L. (2009). Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves. Proceedings of the National Academy of Sciences of the USA, 106(37), 1555515559.
Ghiaus, C. (2006). Equivalence between the load curve and the free-running temperature in energy estimating methods. Energy and Buildings, 38(5), 429435.
Glade, T., Anderson, M. G., & Crozier, M. J. (2006). Landslide hazard and risk. USA: John Wiley & Sons.
Glaeser, E. L., & Kahn, M. E. (2010). The greenness of cities: carbon dioxide emissions and urban development. Journal of Urban Economics, 67(3), 404418.
Glaeser, E. L., Kominers, S. D., Luca, M., & Naik, N. (2018). Big data and big cities: The promises and limitations of improved measures of urban life. Economic Inquiry, 56(1), 114137.
Graham, M., Stephens, M., & Hale, S. (2013). Featured graphic. Mapping the geoweb: A geography of Twitter. Environment and Planning A, 45(1), 100102.
Grandin, J., Haarstad, H., Kjærås, K., & Bouzarovski, S. (2018). The politics of rapid urban transformation. Current Opinion in Environmental Sustainability, 31, 1622.
Grimmond, S., Tang, X., & Baklanov, A. (2014). Towards integrated urban weather, environment and climate services. WMO Bulletin, 63(1), 1014.
Grover, A., & Singh, R. (2015). Analysis of urban heat island (UHI) in relation to normalized difference vegetation index (NDVI): A comparative study of Delhi and Mumbai. Environments, 2(2), 125138.
Grubler, A., Bai, X., Buettner, T., Dhakal, S., Fisk, D. J., Ichinose, T., … Weisz, H. (2012). Chapter 18 – urban energy systems. In Global energy assessment – Toward a sustainable future (pp. 13071400). UK and USA: Cambridge University Press, and Laxenburg, Austria: the International Institute for Applied Systems Analysis.
Grubler, A., & Fisk, D. J. (2012). Energizing sustainable cities: assessing urban energy. USA: Routledge.
Güneralp, B., Zhou, Y., Ürge-Vorsatz, D., Gupta, M., Yu, S., Patel, P. L., … Seto, K. C. (2017 a). Global scenarios of urban density and its impacts on building energy use through 2050. Proceedings of the National Academy of Sciences of the USA, 114(34), 89458950.
Güneralp, B., Zhou, Y., Ürge-Vorsatz, D., Gupta, M., Yu, S., Patel, P. L., … Seto, K. C. (2017 b). Global scenarios of urban density and its impacts on building energy use through 2050. Proceedings of the National Academy of Sciences of the USA, 114(34), 89458950.
Gupta, P., Christopher, S. A., Wang, J., Gehrig, R., Lee, Y. C., & Kumar, N. (2006). Satellite remote sensing of particulate matter and air quality assessment over global cities. Atmospheric Environment, 40(30), 58805892.
Gurney, K. R. (2015). Track urban emissions on a human scale: cities need to understand and manage their carbon footprint at the level of streets, buildings and communities, urge Kevin Robert Gurney and colleagues. Nature, 525(7568), 179182.
Hallegatte, S., Green, C., Nicholls, R. J., & Corfee-Morlot, J. (2013). Future flood losses in major coastal cities. Nature Climate Change, 3(9), 802806.
Hallegatte, S., Ranger, N., Mestre, O., Dumas, P., Corfee-Morlot, J., Herweijer, C., & Wood, R. M. (2011). Assessing climate change impacts, sea level rise and storm surge risk in port cities: A case study on Copenhagen. Climatic Change, 104(1), 113137.
Harris, M. (2012). Oh man, the crowd is getting an F in social science. Daily Crowdsource. Retrieved from
Hawkins, C. V., Krause, R. M., Feiock, R. C., & Curley, C. (2016). Making meaningful commitments: Accounting for variation in cities’ investments of staff and fiscal resources to sustainability. Urban Studies, 53(9), 19021924.
Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., & New, M. (2008). A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006. Journal of Geophysical Research: Atmospheres, 113(D20), D20119.
Heidrich, O., Dawson, R. J., Reckien, D., & Walsh, C. L. (2013). Assessment of the climate preparedness of 30 urban areas in the UK. Climatic Change, 120(4), 771784.
Heinonen, J., Kyrö, R., & Junnila, S. (2011). Dense downtown living more carbon intense due to higher consumption: a case study of Helsinki. Environmental Research Letters, 6(3), 034034.
Hentschel, J., Lanjouw, J. O., Lanjouw, P., & Poggi, J. (2000). Combining census and survey data to trace the spatial dimensions of poverty: A case study of Ecuador. The World Bank Economic Review, 14(1), 147165.
Herold, M., Scepan, J., & Clarke, K. C. (2002). The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning A, 34(8), 14431458.
Hillman, T., & Ramaswami, A. (2010). Greenhouse gas emission footprints and energy use benchmarks for eight U.S. cities. Environmental Science & Technology, 44(6), 19021910.
Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the dimensionality of data with neural networks. Science, 313(5786), 504507.
Hoornweg, D., Sugar, L., & Trejos Gómez, C. L. (2011). Cities and greenhouse gas emissions: moving forward. Environment and Urbanization, 23(1), 207227.
Housley, W., Procter, R., Edwards, A., Burnap, P., Williams, M., Sloan, L., … Greenhill, A. (2014). Big and broad social data and the sociological imagination: A collaborative response. Big Data & Society, 1(2), 2053951714545135.
ICLEI (2018). GHG protocol for cities. Greenhouse gas protocol. Retrieved from
IEA (2013). Policy pathways: A tale of renewed cities. Paris, France: International Energy Agency.
IG3IS (2016). Integrated greenhouse gas information system (IG3IS) concept paper. Geneva, Switzerland: WMO. Retrieved from
Ilieva, R. T., & McPhearson, T. (2018). Social media data for urban sustainability. Nature Sustainability, 1(10), 553.
Imhoff, M. L., Zhang, P., Wolfe, R. E., & Bounoua, L. (2010). Remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sensing of Environment, 114(3), 504513.
Inard, C., Pfafferott, J., & Ghiaus, C. (2011). Free-running temperature and potential for free cooling by ventilation: A case study. Energy and Buildings, 43(10), 27052711.
JBA (2018). JBA hazard maps. Retrieved from
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790794.
Jones, C., & Kammen, D. M. (2014). Spatial distribution of US household carbon footprints reveals suburbanization undermines greenhouse gas benefits of urban population density. Environmental Science & Technology, 48(2), 895902.
Kahn Ribeiro, S., Figueroa, M. J., Creutzig, F., Dubeux, C., Hupe, J., & Kobayashi, S. (2012). Energy end-use: transport. In Global energy assessment – Toward a sustainable future (pp. 575648). UK and USA: Cambridge University Press.
Kearney, M. R., Isaac, A. P., & Porter, W. P. (2014). microclim: Global estimates of hourly microclimate based on long-term monthly climate averages. Scientific Data, 1, 140006.
Keeler, B. L., Wood, S. A., Polasky, S., Kling, C., Filstrup, C. T., & Downing, J. A. (2015). Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes. Frontiers in Ecology and the Environment, 13(2), 7681.
Kennedy, C. A., Stewart, I., Facchini, A., Cersosimo, I., Mele, R., Chen, B., … Sahin, A. D. (2015). Energy and material flows of megacities. Proceedings of the National Academy of Sciences of the USA, 112(19), 59855990.
Kennedy, C., Cuddihy, J., & Engel-Yan, J. (2007). The changing metabolism of cities. Journal of Industrial Ecology, 11(2), 4359.
Kennedy, C., & Hoornweg, D. (2012). Mainstreaming urban metabolism. Journal of Industrial Ecology, 16(6), 780782.
Kennedy, C. A., Ibrahim, N., & Hoornweg, D. (2014). Low-carbon infrastructure strategies for cities. Nature Climate Change, 4(5), 343.
Kennedy, C., Steinberger, J., Gasson, B., Hansen, Y., Hillman, T., Havranek, M., … Mendez, G. V. (2009). Greenhouse gas emissions from global cities. USA: ACS Publications.
Kennedy, C., Steinberger, J., Gasson, B., Hansen, Y., Hillman, T., Havránek, M., … Mendez, G. V. (2010). Methodology for inventorying greenhouse gas emissions from global cities. Energy Policy, 38(9), 48284837.
Kent, J. D., & Capello, H. T. Jr (2013). Spatial patterns and demographic indicators of effective social media content during the Horsethief Canyon fire of 2012. Cartography and Geographic Information Science, 40(2), 7889.
Kim, E.-J., Plessis, G., Hubert, J.-L., & Roux, J.-J. (2014). Urban energy simulation: Simplification and reduction of building envelope models. Energy and Buildings, 84, 193202.
Knox, E. G. (2014). The slippery slope of material support prosecutions: Social media support to terrorists. Hastings Law Journal, 66, 295.
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems (pp. 1097–1105).
Kusumo, A., Reckien, D., & Verplanke, J. (2017). Utilising volunteered geographic information to assess resident's flood evacuation shelters. Case study: Jakarta. Applied Geography, 88, 174185.
Lamb, W. F., Callaghan, M., Creutzig, F., Khosla, R., & Minx, J. (2018). The literature landscape on 1.5°C climate change and cities. Current Opinion in Environmental Sustainability, 30, 2634.
Li, D., & Bou-Zeid, E. (2013). Synergistic interactions between urban heat islands and heat waves: The impact in cities is larger than the sum of its parts. Journal of Applied Meteorology and Climatology, 52(9), 20512064.
Lin, J., & Cromley, R. G. (2015). Evaluating geo-located Twitter data as a control layer for areal interpolation of population. Applied Geography, 58, 4147.
Lin, T., Yu, Y., Bai, X., Feng, L., & Wang, J. (2013). Greenhouse gas emissions accounting of urban residential consumption: A household survey based approach. PloS One, 8(2), e55642.
Lohrey, S., & Creutzig, F. (2016). A ‘sustainability window’ of urban form. Transportation Research Part D: Transport and Environment, 45, 96111.
Louf, R., & Barthelemy, M. (2014). A typology of street patterns. Journal of The Royal Society Interface, 11(101), 2014092420140924.
Lucon, O., Ürge-Vorsatz, D., Zain Ahmed, A., Akbari, H., Bertoldi, P., Cabeza, L. F., … Vilariño, M. V. (2014). Buildings. In Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., Adler, A., Baum, I., Brunner, S., Eickemeier, P., Kriemann, B., Savolainen, J., Schlömer, S., von Stechow, C., Zwickel, T., & Minx, J. C. (eds), Climate change 2014: mitigation of climate change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. UK and USA: Cambridge University Press.
Madu, C. N., Kuei, C., & Lee, P. (2017). Urban sustainability management: A deep learning perspective. Sustainable Cities and Society, 30, 117.
Makido, Y., Dhakal, S., & Yamagata, Y. (2012). Relationship between urban form and CO2 emissions: evidence from fifty Japanese cities. Urban Climate, 2, 5567.
Marcotullio, P. J., Sarzynski, A., Albrecht, J., Schulz, N., & Garcia, J. (2013). The geography of global urban greenhouse gas emissions: an exploratory analysis. Climatic Change, 121(4), 621634.
Markolf, S. A., Matthews, H. S., Azevedo, I. L., & Hendrickson, C. (2017). An integrated approach for estimating greenhouse gas emissions from 100 U.S. metropolitan areas. Environmental Research Letters, 12(2), 024003.
Mattioli, G., Lucas, K., & Marsden, G. (2017). Transport poverty and fuel poverty in the UK: From analogy to comparison. Transport Policy, 59, 93105.
McPhearson, T., Haase, D., Kabisch, N., & Gren, Å. (2016 a). Advancing understanding of the complex nature of urban systems. Navigating Urban Complexity: Advancing Understanding of Urban Social – Ecological Systems for Transformation and Resilience, 70, 566573.
McPhearson, T., Parnell, S., Simon, D., Gaffney, O., Elmqvist, T., Bai, X., … Revi, A. (2016 b). Scientists must have a say in the future of cities. Nature News, 538(7624), 165.
McPhearson, T., Pickett, S. T. A., Grimm, N. B., Niemelä, J., Alberti, M., Elmqvist, T., … Qureshi, S. (2016 c). Advancing urban ecology toward a science of cities. BioScience, 66(3), 198212.
Meehl, G. A., & Tebaldi, C. (2004). More intense, more frequent, and longer lasting heat waves in the 21st century. Science, 305(5686), 994997.
Metabolism of Cities (2018). Data. Metabolism of cities. Retrieved from
Mi, Z., Zhang, Y., Guan, D., Shan, Y., Liu, Z., Cong, R., … Wei, Y.-M. (2016). Consumption-based emission accounting for Chinese cities. Applied Energy, 184, 10731081.
Mindali, O., Raveh, A., & Salomon, I. (2004). Urban density and energy consumption: a new look at old statistics. Transportation Research Part A: Policy and Practice, 38(2), 143162.
Minx, J., Baiocchi, G., Wiedmann, T., Barrett, J., Creutzig, F., Feng, K., … Hubacek, K. (2013). Carbon footprints of cities and other human settlements in the UK. Environmental Research Letters, 8(3), 035039.
Minx, J. C., Wiedmann, T., Wood, R., Peters, G. P., Lenzen, M., Owen, A., … Ackerman, F. (2009). Input–output analysis and carbon footprinting: an overview of applications. Economic Systems Research, 21(3), 187216.
Minx, J. C. (2017). Better data for assessing local climate policies. Environmental Research Letters, 12(5), 051001.
Minx, J. C., Callaghan, M., Lamb, W. F., Garard, J., & Edenhofer, O. (2017). Learning about climate change solutions in the IPCC and beyond. Environmental Science & Policy, 77, 252259.
Mora, C., Dousset, B., Caldwell, I. R., Powell, F. E., Geronimo, R. C., Bielecki, C. R., … Trauernicht, C. (2017). Global risk of deadly heat. Nature Climate Change, 7(7), 501506.
Moran, D., Kanemoto, K., Jiborn, M., Wood, R., Többen, J., & Seto, K. C. (2018). Carbon footprints of 13 000 cities. Environmental Research Letters, 13(6), 064041.
Muñoz Hidalgo, M. E. (2018). (SMUM) Spatial Microsimulation Urban Metabolism Model (Version 0.2.0) [Computer software] Retrieved from
Muñoz Hidalgo., M. E., Dochev, I., Seller, H., & Peters, I. (2016). Constructing a synthetic city for estimating spatially disaggregated heat demand. International Journal of Microsimulation, 9(3), 6688.
Muñoz Hidalgo, M. E. (2016). A national heat demand model for Germany. In Agent based modelling of urban systems (pp. 172188). USA: Springer.
Nagendra, H., Bai, X., Brondizio, E. S., & Lwasa, S. (2018). The urban south and the predicament of global sustainability. Nature Sustainability, 1(7), 341349.
Nangini, C., Peregon, A., Ciais, P., Weddige, U., Vogel, F., Bréon, F.-M., … Creutzig, F. (In Press). A global dataset of city CO2 emissions and emissions drivers. Scientific Data.
National Institute for Environmental Studies (2018). 2050 low-carbon society scenarios (LCS) – scenario list. Retrieved from
Newman, P. W. G., & Kenworthy, J. R. (1989). Gasoline consumption and cities. Journal of the American Planning Association, 55(1), 2437.
Newman, S., Xu, X., Gurney, K. R., Hsu, Y. K., Li, K. F., Jiang, X., … Yung, Y. L. (2016). Toward consistency between trends in bottom-up CO2 emissions and top-down atmospheric measurements in the Los Angeles megacity. Atmospheric Chemistry and Physics, 16(6), 38433863.
Nissan, H., Burkart, K., Coughlan de Perez, E., Van Aalst, M., & Mason, S. (2017). Defining and predicting heat waves in Bangladesh. Journal of Applied Meteorology and Climatology, 56(10), 26532670.
NOAA (2018). VIIRS day/night band nighttime lights. NOAA. Retrieved from
Nouvel, R., Mastrucci, A., Leopold, U., Baume, O., Coors, V., & Eicker, U. (2015). Combining GIS-based statistical and engineering urban heat consumption models: Towards a new framework for multi-scale policy support. Energy and Buildings, 107, 204212.
Oke, T. R. (1973). City size and the urban heat island. Atmospheric Environment (1967), 7(8), 769779.
Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 124.
OpenStreetMap (2018). OpenStreetMap. Retrieved from
Ottelin, J., Heinonen, J., & Junnila, S. (2014). Greenhouse gas emissions from flying can offset the gain from reduced driving in dense urban areas. Journal of Transport Geography, 41, 19.
Ottelin, J., Heinonen, J., & Junnila, S. (2018). Carbon footprint trends of metropolitan residents in Finland: How strong mitigation policies affect different urban zones. Journal of Cleaner Production, 170, 15231535.
Parnell, S., Elmqvist, T., McPhearson, T., Nagendra, H., & Sörlin, S. (2018). Introduction: Situating knowledge and action for an urban planet. In The urban planet: knowledge towards sustainable cities (pp. 116). UK and USA: Cambridge University Press.
Peng, S., Piao, S., Ciais, P., Friedlingstein, P., Ottle, C., Bréon, F.-M., … Myneni, R. B. (2012). Surface urban heat island across 419 global big cities. Environmental Science & Technology, 46(2), 696703.
Persson, M.-L., Roos, A., & Wall, M. (2006). Influence of window size on the energy balance of low energy houses. Energy and Buildings, 38(3), 181188.
Pesaresi, M., Huadong, G., Blaes, X., Ehrlich, D., Ferri, S., Gueguen, L., … Zanchetta, L. (2013). A global human settlement layer from optical HR/VHR RS data: concept and first results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5), 21022131.
Pesaresi, M., Ehrilch, D., Florczyk, A. J., Freire, S., Julea, A., Kemper, T., … Syrris, V. (2016). GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014). European Commission, Joint Research Centre (JRC) [Dataset] PID. Retrieved from
Petley, D., Dunning, S., Rosser, N., & Hungr, O. (2005). The analysis of global landslide risk through the creation of a database of worldwide landslide fatalities. Landslide Risk Management (pp. 367374). Amsterdam: Balkema.
Potere, D., Schneider, A., Angel, S., & Civco, D. L. (2009). Mapping urban areas on a global scale: which of the eight maps now available is more accurate? International Journal of Remote Sensing, 30(24), 65316558.
Quercia, D., & Saez, D. (2014). Mining urban deprivation from foursquare: Implicit crowdsourcing of city land use. IEEE Pervasive Computing, 13(2), 3036.
Ramaswami, A., Chavez, A., Ewing-Thiel, J., & Reeve, K. E. (2011). Two approaches to greenhouse gas emissions foot-printing at the city scale. Environmental Science & Technology, 45(10), 42054206.
Ramaswami, A., Hillman, T., Janson, B., Reiner, M., & Thomas, G. (2008). A demand-centered, hybrid life-cycle methodology for city-scale greenhouse gas inventories. Environmental Science & Technology, 42(17), 64556461.
Ramaswami, A., Tong, K., Fang, A., Lal, R. M., Nagpure, A. S., Li, Y., … Shi, L. (2017). Urban cross-sector actions for carbon mitigation with local health co-benefits in China. Nature Climate Change, 7(10), 736.
Ranger, N., Hallegatte, S., Bhattacharya, S., Bachu, M., Priya, S., Dhore, K., … Corfee-Morlot, J. (2011). An assessment of the potential impact of climate change on flood risk in Mumbai. Climatic Change, 104(1), 139167.
Reckien, D., Creutzig, F., Fernandez, B., Lwasa, S., Tovar-Restrepo, M., Mcevoy, D., & Satterthwaite, D. (2017). Climate change, equity and the Sustainable Development Goals: an urban perspective. Environment and Urbanization, 29(1), 159182.
Reckien, D., Flacke, J., Dawson, R. J., Heidrich, O., Olazabal, M., Foley, A., … Hurtado, S. D. G. (2014). Climate change response in Europe: what's the reality? Analysis of adaptation and mitigation plans from 200 urban areas in 11 countries. Climatic Change, 122(1–2), 331340.
Ridd, M. K. (1995). Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. International Journal of Remote Sensing, 16(12), 21652185.
Rode, P., Gomes, A., Adeel, M., Sajjad, F., McArthur, J., Alshalfan, S., … Wendel, J. (2017). Resource Urbanisms: Asia's Divergent City Models of Kuwait, Abu Dhabi, Singapore and Hong Kong. LSE Cities. London School of Economics and Political Science: London. 2017. Retrieved from
Rode, P., Keim, C., Robazza, G., Viejo, P., & Schofield, J. (2014). Cities and energy: urban morphology and residential heat-energy demand. Environment and Planning B: Planning and Design, 41(1), 138162.
Rosenzweig, C., Solecki, W. D., Hammer, S. A., & Mehrotra, S. (2011). Climate change and cities: first assessment report of the Urban Climate Change Research Network. UK and USA: Cambridge University Press. Retrieved from + at+Barnard+College+and+a+Senior + Research+Scientist+at+the+Earth+Institute+at+Columbia%22+%22A.+Hammer+is+the+President+of+Mesacosa+LLC,+a+consultancy+that+conducts+research+on+urban+energy+and+climate+issues+in+cities+around+the&ots=_2qw_3u6OJ&sig=adR39TIbVYgS_QflfyF7n8BYrsA
Rosenzweig, C., Solecki, W. D., Romero-Lankao, P., Mehrotra, S., Dhakal, S., & Ibrahim, S. A. (2018). Climate change and cities: Second Assessment Report of the Urban Climate Change Research Network. UK and USA: Cambridge University Press.
Santamouris, M., Papanikolaou, N., Livada, I., Koronakis, I., Georgakis, C., Argiriou, A., & Assimakopoulos, D. N. (2001). On the impact of urban climate on the energy consumption of buildings. Solar Energy, 70(3), 201216.
Scheuer, S., Haase, D., & Volk, M. (2017). Integrative assessment of climate change for fast-growing urban areas: Measurement and recommendations for future research. PloS One, 12(12), e0189451.
Schneider, A, Friedl, M. A., & Potere, D. (2009). A new map of global urban extent from MODIS satellite data. Environmental Research Letters, 4(4), 044003.
Schneider, A., Friedl, M. A., & Potere, D. (2010). Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions.Remote Sensing of Environment, 114(8), 17331746.
Schwartz, R., & Halegoua, G. R. (2015). The spatial self: Location-based identity performance on social media. New Media & Society, 17(10), 16431660.
Scott, A. J., & Storper, M. (2015). The nature of cities: The scope and limits of urban theory. International Journal of Urban and Regional Research, 39(1), 115.
Seto, K. C., & Christensen, P. (2013). Remote sensing science to inform urban climate change mitigation strategies. Urban Climate, 3, 16.
Seto, K. C., Dhakal, S., Bigio, A., Blanco, H., Delgado, G. C., Dewar, D., … Lwasa, S. (2014). Human Settlements, Infrastructure and Spatial Planning. In Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., … Minx, J. C. (eds), Climate Change 2014: mitigation of climate change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. UK and USA: Cambridge University Press.
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences of the USA, 109(40), 1608316088.
Shan, Y., Guan, D., Hubacek, K., Zheng, B., Davis, S. J., Jia, L., … Mi, Z. (2018). City-level climate change mitigation in China. Science Advances, 4(6), eaaq0390.
Shan, Y., Guan, D., Liu, J., Mi, Z., Liu, Z., Liu, J., … Zhang, Q. (2017 a). Methodology and applications of city level CO2 emission accounts in China. Journal of Cleaner Production, 161, 12151225.
Shan, Y., Zheng, H., Guan, D., Li, C., Mi, Z., Meng, J., … Ma, Z. (2017 b). Energy consumption and CO2 emissions in Tibet and its cities in 2014. Earth's Future, 5(8), 854864.
Shelton, T., Poorthuis, A., Graham, M., & Zook, M. (2014). Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data.Geoforum, 52, 167179.
Shi, P., Bai, X., Kong, F., Fang, J., Gong, D., Zhou, T., … Wei, Z. (2017). Urbanization and air quality as major drivers of altered spatiotemporal patterns of heavy rainfall in China. Landscape Ecology, 32(8), 17231738.
Shrestha, R. M., & Rajbhandari, S. (2010). Energy and environmental implications of carbon emission reduction targets: Case of Kathmandu Valley, Nepal. Energy Policy, 38(9), 48184827.
Shukla, P. R., Pangotra, P., Bazaz, A. B., Agarwal, P., & Agarwal, N. (2009). Ahmedabad low carbon society vision 2035. Ahmedabad, India: Indian Institute of Management.
Silva, M. C., Horta, I. M., Leal, V., & Oliveira, V. (2017). A spatially-explicit methodological framework based on neural networks to assess the effect of urban form on energy demand. Applied Energy, 202, 386398.
Silva, M., Leal, V., Oliveira, V., & Horta, I. M. (2018). A scenario-based approach for assessing the energy performance of urban development pathways. Sustainable Cities and Society, 40, 372382.
Sims, R., Schaeffer, R., Creutzig, F., Cruz-Núñez, X., D'Agosto, M., Dimitriu, D., … Lah, O. (2014). Chapter 8: transport. Climate Change 2014: mitigation of climate change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. UK and USA: Cambridge University Press.
Solecki, W., Seto, K. C., & Marcotullio, P. J. (2013). It's Time for an urbanization science. Environment: Science and Policy for Sustainable Development, 55(1), 1217.
Stefanidis, A., Crooks, A., & Radzikowski, J. (2013). Harvesting ambient geospatial information from social media feeds. GeoJournal, 78(2), 319338.
Steinberg, P. F. (2015). Can we generalize from case studies? Global Environmental Politics, 15(3), 152175.
Stevens, M. R. (2017). Does compact development make people drive less? Journal of the American Planning Association, 83(1), 718.
Streutker, D. (2003). Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment, 85(3), 282289.
Sudmant, A., Gouldson, A., Millward-Hopkins, J., Scott, K., & Barrett, J. (2018). Producer cities and consumer cities: Using production- and consumption-based carbon accounts to guide climate action in China, the UK, and the US. Journal of Cleaner Production, 176, 654662.
Tapiador, F. J., Avelar, S., Tavares-Corrêa, C., & Zah, R. (2011). Deriving fine-scale socioeconomic information of urban areas using very high-resolution satellite imagery. International Journal of Remote Sensing, 32(21), 64376456.
Tong, K., Fang, A., Li, Y., Shi, L., Wang, Y., Wang, S., & Ramaswami, A. (2018). The collective contribution of Chinese cities to territorial and electricity-related CO2 emissions. Journal of Cleaner Production, 189, 910921.
Toole, J. L., Colak, S., Sturt, B., Alexander, L. P., Evsukoff, A., & González, M. C. (2015). The path most traveled: Travel demand estimation using big data resources. Transportation Research Part C: Emerging Technologies, 58, 162177.
Tran, H., Uchihama, D., Ochi, S., & Yasuoka, Y. (2006). Assessment with satellite data of the urban heat island effects in Asian mega cities. International Journal of Applied Earth Observation and Geoinformation, 8(1), 3448.
Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, D. A., Pak, E. W., Mahoney, R., … El Saleous, N. (2005). An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26(20), 44854498.
UN Environment (2017). The emissions gap report 2017. A UN Environment Synthesis Report. Retrieved from
UN-DESA (2016). The world's cities in 2016 – Data booklet. UN-DESA. Retrieved from
UN-DESA (2017). World population prospects: The 2017 revision, key findings and advance tables. Working Paper No. ESA/P/WP/248. Retrieved from
UN-DESA (2018). 2018 revision of world urbanization prospects. Multimedia Library – United Nations Department of Economic and Social Affairs. Retrieved from
Wiedenhofer, D., Guan, D., Liu, Z., Meng, J., Zhang, N., & Wei, Y.-M. (2017). Unequal household carbon footprints in China. Nature Climate Change, 7(1), 75.
Winsemius, H. C., Van Beek, L. P. H., Jongman, B., Ward, P. J., & Bouwman, A. (2013). A framework for global river flood risk assessments. Hydrology and Earth System Sciences, 17(5), 18711892.
WMO (2015). WMO guidelines on multi-hazard impact-based forecast and warning services. Switzerland: World Meteorological Organization.
WMO (2018). Guide for urban integrated hydro-meteorological, climate and environmental services. Part 1: Concept and methodology, April 2018. Retrieved from
Wolman, A. (1965). The metabolism of cities. Scientific American, 213(3), 179190.
Wood, S. A., Guerry, A. D., Silver, J. M., & Lacayo, M. (2013). Using social media to quantify nature-based tourism and recreation. Scientific Reports, 3, 2976.
Xiao, J., Shen, Y., Ge, J., Tateishi, R., Tang, C., Liang, Y., & Huang, Z. (2006). Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape and Urban Planning, 75(1–2), 6980.
Xu, X., Huo, H., Liu, J., Shan, Y., Li, Y., Zheng, H., … Ouyang, Z. (2018). Patterns of CO2 emissions in 18 central Chinese cities from 2000 to 2014. Journal of Cleaner Production, 172, 529540.
Young, S. D. (2014). Behavioral insights on big data: using social media for predicting biomedical outcomes. Trends in Microbiology, 22(11), 601602.
Yuan, F., Sawaya, K. E., Loeffelholz, B. C., & Bauer, M. E. (2005). Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sensing of Environment, 98(2–3), 317328.
Zangheri, P., Armani, R., Pietrobon, M., Pagliano, L., Boneta, M. F., & Müller, A. (2014). Heating and cooling energy demand and loads for building types in different countries of the EU. Tech rep. ENTRANZE. Polytechnic University of Turin, End-Use Efficiency Research Group. Retrieved from
Zhao, H., & Magoulès, F. (2012). A review on the prediction of building energy consumption. Renewable and Sustainable Energy Reviews, 16(6), 35863592.
Zhou, B., Rybski, D., & Kropp, J. P. (2017). The role of city size and urban form in the surface urban heat island. Scientific Reports, 7(1), 4791.
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