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	Urban Metabolism Analysis	Urban Scaling Laws
Ämnesområde	Urban Studies	Urban Studies
Familj	Process / pipeline	Regression model
Ursprungsår	1965	2007
Upphovsperson	Abel Wolman (the metabolism-of-cities concept)	Luís Bettencourt & Geoffrey West
Typ	Accounting of material and energy inputs, stocks, and outputs of a city	Power-law regression of urban indicators against population size
Ursprungskälla	Wolman, A. (1965). The metabolism of cities. Scientific American, 213(3), 178–190.	Bettencourt, L. M. A., 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, 104(17), 7301–7306.
Alias	Material Flow Analysis, Urban Material and Energy Flows, City Metabolism Accounting, Urban Mass Balance	Urban Scaling, Settlement Scaling Theory, Power-Law Urban Scaling, Superlinear and Sublinear Urban Scaling
Närliggande	4	4
Sammanfattning	Urban metabolism analysis treats a city as a living organism that ingests materials, water, energy and food and excretes wastes, emissions and outflows, accounting for these flows to understand and improve a city's resource use. Drawing on the biological metaphor that Abel Wolman introduced in his 1965 'The metabolism of cities', the method draws a system boundary around the urban area and constructs a mass and energy balance of everything entering, accumulating in, and leaving it. The resulting per-capita flows and efficiency indicators expose how resource-intensive a city is and where interventions could close material loops.	Urban scaling laws describe how the aggregate properties of cities — wealth, innovation, infrastructure, crime — change systematically with population size, following power laws rather than growing in simple proportion. Building on the 2007 work of Luís Bettencourt, Geoffrey West and colleagues, the framework shows that socioeconomic outputs typically scale superlinearly (a doubling of population more than doubles GDP and patents) while infrastructure scales sublinearly (larger cities need proportionally fewer roads and cables per person), with a single exponent β capturing the regularity across an entire urban system.