Climate variation in metropolitan cities

Spatial self-containment, contiguity and space-time relations in Cagliari urban area (Sardinia, Italy)

Keywords: Climate variation, Metropolitan city, Labour Market Areas, LISA, Spatial Autocorrelation


Climate has always been studied in cities, where strong relations can be found with urban form and spatial patterns. Temperature variations, heat islands and floods are among the main factors to represent climatic phenomena and related changes over time. The same urban location choices come out from the need to resist adverse events. In general, the urban form can be related to climatic conditions, both to benefit from positive externalities - healthiness, sun exposure, ventilation, water supply - and to reduce negative externalities - thermal stress, heavy rainfall and heat islands. Furthermore, urban development, particularly attributable to land take, put in evidence how the European, and particularly the Italian, urban system presents 56% of population settled in urban areas with a high value of sealed surfaces and limited green areas, so that urban centres are more and more characterizing as climate change hotspots. In this framework the hereby presented research is developed, focused on the observation of the temperature variations in urban areas in time, aimed at capturing the changes occurring also considering the spatial extent and form of the cities more vulnerable to such phenomenon. The research in particular was aimed at exploring possible different ways of aggregating areas to a proper urban dimension: in particular Metropolitan Cities (MC) and Labor Market Area (LMA) in order to identify the most suitable geographical dimension both for the observation of the phenomenon and for the policy targets of climate neutrality. This is done analysing the spatial autocorrelation of climate-related variations in space and time.


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Author Biographies

Ginevra Balletto, University of Cagliari

(Roma, IT - 1971) Associate Professor of Urban and Territorial Planning, DICAAR, University of Cagliari. Her actual interests are related to geospatial planning in the multiple transitions (energetic, ecological, and digital). 

Martina Sinatra, University of Cagliari

(Cagliari, IT - 1995) is an environmental engineer who works in the renewable energies and environmental impact assessment fields.

Roberto Mura, IUAV University of Venice

(Oristano, IT - 1989) is an environmental engineer who has a research scholarship at the Department of Culture of the Project "Ca’ Tron" at University IUAV of Venice. 

Giuseppe Borruso, University of Trieste

(Trieste, IT - 1972) is an Associate Professor of Economic and Political Geography at the DEAMS - Department of Economics, Business, Mathematics and Statistics "Bruno De Finetti, University of Trieste. His actual research interests are related to economic geography, with particular reference to urban geography, transport and population. 


Accetturo, A., Albanese, G., Ballatore, R.M., Ropele, T. & Sestito, P. (2022). Regional inequality in Italy in the face of economic crises, recovery, and the health emergency. Occasional Papers, 685. Roma: Bank of Italy, Economic Research and International Relations Area.

Andreoni, V., & Galmarini, S. (2012). Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption. Energy, 44(1), 682-691.

Anselin, L. (1988). Spatial Econometrics: Methods and Models. Dordrecht: Springer.

Anselin, L. (1995). Local indicators of spatial association – LISA. Geographical analysis, 27(2), 93-115.

Balletto, G., Borruso, G., & Donato, C. (2018). City dashboards and the Achilles’ heel of smart cities: putting governance in action and in space. International Conference on Computational Science and Its Applications. 654-668. Cham: Springer.

Cobbinah, P.B. (2021). Urban resilience in climate change hotspot. Land use policy, 100, 104948.

Dameri, R.P., Benevolo, C., Veglianti, E., & Li, Y. (2019). Understanding smart cities as a glocal strategy: A comparison between Italy and China. Technological Forecasting and Social Change, 142(C), 26-41. j.techfore.2018.07.025.

Di Febbraro, M., Menchetti, M., Russo, D., Ancillotto, L., Aloise, G., Roscioni, F., ..., & Mori, E. (2019). Integrating climate and land‐use change scenarios in modelling the future spread of invasive squirrels in Italy. Diversity and Distributions, 25(4), 644-659.

Dwivedi, Y.K., Hughes, L., Kar, A.K., Baabdullah, A.M., Grover, P., Abbas, R., ..., & Wade, M. (2022). Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action. International Journal of Information Management, 63, 102456.

Fan, X., Miao, C., Duan, Q., Shen, C., & Wu, Y. (2021). Future climate change hotspots under different 21st century warming scenarios. Earth's Future, 9(6), e2021EF002027.

Ferguson, R.J. (2022). The Political Challenge of Linking Climate Change and Sustainable Development Policies: Risks and Prospects. In P.S. Low (Eds.), Sustainable Development: Asia-Pacific Perspectives, 298-314. Cambridge:Cambridge University Press.

Geary, R.C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115-146.

Gonzalez-Trevizo, M.E., Martinez-Torres, K.E., Armendariz-Lopez, J.F., Santamouris, M., Bojorquez-Morales, G., & Luna-Leon, A. (2021). Research trends on environmental, energy and vulnerability impacts of Urban Heat Islands: An overview. Energy and Buildings, 246, 111051.

Hurlimann, A., Moosavi, S., & Browne, G.R. (2021). Urban planning policy must do more to integrate climate change adaptation and mitigation actions. Land Use Policy, 101, 105188.

Kellogg, W.W., & Schware, R. (2019). Climate change and society: consequences of increasing atmospheric carbon dioxide. New York: Routledge.

Kinley, R., Cutajar, M.Z., de Boer, Y., & Figueres, C. (2021). Beyond good intentions, to urgent action: Former UNFCCC leaders take stock of thirty years of international climate change negotiations. Climate Policy, 21(5), 593-603.

Koop, S.H., & van Leeuwen, C.J. (2017). The challenges of water, waste and climate change in cities. Environment, development and sustainability, 19(2), 385-418.

Lee, J., Wong, D.W.S., & David, W.S. (2000). GIS and Statistical Analysis with ArcView. Hoboken: Wiley.

Majumdar, D.D., & Biswas, A. (2016). Quantifying land surface temperature change from LISA clusters: An alternative approach to identifying urban land use transformation. Landscape and Urban Planning, 153, 51-65.

Marando, F., Heris, M.P., Zulian, G., Udías, A., Mentaschi, L., Chrysoulakis, N., ... & Maes, J. (2022). Urban heat island mitigation by green infrastructure in European Functional Urban Areas. Sustainable Cities and Society, 77, 103564.

Morabito, M., Crisci, A., Guerri, G., Messeri, A., Congedo, L., & Munafò, M. (2021). Surface urban heat islands in Italian metropolitan cities: Tree cover and impervious surface influences. Science of the Total Environment, 751, 142334.

Moran, P.A.P. (1948). The interpretation of statistical maps. Journal of the Royal Statistical Society: Series B, 10(2), 243-251.

Murgante, B., Borruso, G. (2012). Analyzing migration phenomena with spatial autocorrelation techniques. In: B. Murgante et al. (Eds.) ICCSA 2012. LNCS, 7334, 670-685. Heidelberg: Springer.

O’Sullivan, D., Unwin, D.J. (2010). Geographic Information Analysis: Second Edition. Hoboken: Wiley.

Palumbo, M.E., Mundula, L., Balletto, G., Bazzato, E., & Marignani, M. (2020). Environmental dimension into strategic planning. The case of metropolitan city of Cagliari. In International Conference on Computational Science and Its Applications. 456-471. Cham: Springer.

Papa, R., Gargiulo, C., & Zucaro, F. (2014). Climate Change and Energy Sustainability. Which Innovations in European Strategies and Plans. TeMA, Journal of Land Use, Mobility and Environment.

Phelps, N.A. (2021). The Urban Planning Imagination: A Critical International Introduction. John Wiley & Sons.

Romano, B., Zullo, F., Fiorini, L., Marucci, A., & Ciabò, S. (2017). Land transformation of Italy due to half a century of urbanization. Land use policy, 67, 387-400.

Salvati, A., Monti, P., Roura, H.C., & Cecere, C. (2019). Climatic performance of urban textures: Analysis tools for a Mediterranean urban context. Energy and Buildings, 185, 162-179.

Sui, D.Z. (2004). Tobler’s first law of geography: a big idea for a small world? Annals of the Association of American Geographers. 94(2), 269-277.

Susca, T. (2020). Climate Change and European Cities. European Journal of Climate Change, 2(1), 1-2.

Tobler, W.R. (1970). A computer movie simulating urban growth in the Detroit Region. Economic Geography. 46, 234-240.

Tobler, W. (2004). On the first law of geography: a reply. Annals of the Association of American Geographers, 94(2), 304-310.

Yang, L., Yu, K., Ai, J., Liu, Y., Lin, L., Lin, L., & Liu, J. (2021). The influence of green space patterns on land surface temperature in different seasons: a case study of Fuzhou City, China. Remote Sensing, 13(24), 5114.

UNFCCC (2015). The Paris Agreement, Available at:

UNFCCC (2020). Decision 2/CMA.2 - Warsaw International Mechanism for Loss and Damage associated with Climate Change Impacts and its 2019 review. Madrid: Spain.

How to Cite
BallettoG., SinatraM., MuraR., & BorrusoG. (2022). Climate variation in metropolitan cities. TeMA - Journal of Land Use, Mobility and Environment, 15(3), 501-516.