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Urban Scaling Laws×Urban Density Gradient Model×
OdborUrban StudiesHuman Geography
RodinaRegression modelRegression model
Rok vzniku20071951
TvorcaLuís Bettencourt & Geoffrey WestColin Clark; Edwin Mills & Richard Muth (theory); Bruce Newling (quadratic form)
TypPower-law regression of urban indicators against population sizeFamily of functional models of urban population density as a function of distance from the centre
Pôvodný zdrojBettencourt, 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. DOI ↗Clark, C. (1951). Urban population densities. Journal of the Royal Statistical Society. Series A (General), 114(4), 490–496. DOI ↗
Ďalšie názvyUrban Scaling, Settlement Scaling Theory, Power-Law Urban Scaling, Superlinear and Sublinear Urban ScalingUrban Density Function, Population Density Gradient, Density-Distance Function, Monocentric Density Model
Príbuzné44
ZhrnutieUrban 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.The urban density gradient model is the broad family of functional relationships that describe how population density varies with distance from a city's centre. Its canonical member is Colin Clark's 1951 negative-exponential form, but the family also includes Bruce Newling's quadratic-exponential function that permits a density crater at the core, simpler linear and Smeed forms, and the economic micro-foundation supplied by the Muth-Mills monocentric city model. Together these give planners and economists a compact, comparable language for urban spatial structure.
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