Constructing cities, deconstructing scaling laws

Cities can be characterized and modelled through different urban measures. Consistency within these observables is crucial in order to advance towards a science of cities. Bettencourt et al. have proposed that many of these urban measures can be predicted through universal scaling laws. We develop a framework to consistently define cities, using commuting to work and population density thresholds, and construct thousands of realizations of systems of cities with different boundaries for England and Wales. These serve as a laboratory for the scaling analysis of a large set of urban indicators. The analysis shows that population size alone does not provide us enough information to describe or predict the state of a city as previously proposed, indicating that the expected scaling laws are not corroborated. We found that most urban indicators scale linearly with city size, regardless of the definition of the urban boundaries. However, when nonlinear correlations are present, the exponent fluctuates considerably.

[1]  Mark Jefferson,et al.  The Law of the Primate City , 1939 .

[2]  M. Kleiber Body size and metabolic rate. , 1947, Physiological reviews.

[3]  George Kingsley Zipf,et al.  Human behavior and the principle of least effort , 1949 .

[4]  Michael Batty,et al.  Fractal Cities: A Geometry of Form and Function , 1996 .

[5]  H. Stanley,et al.  Modelling urban growth patterns , 1995, Nature.

[6]  James H. Brown,et al.  A General Model for the Origin of Allometric Scaling Laws in Biology , 1997, Science.

[7]  J. S. Andrade,et al.  Modeling urban growth patterns with correlated percolation , 1998, cond-mat/9809431.

[8]  X. Gabaix Zipf's Law and the Growth of Cities , 1999 .

[9]  X. Gabaix Zipf's Law for Cities: An Explanation , 1999 .

[10]  M. Davis Planet of Slums , 2004 .

[11]  J. Eeckhout Gibrat's Law for (All) Cities , 2004 .

[12]  Migration and socioeconomic change: A 2001 Census analysis of Britain's larger cities , 2007 .

[13]  D. Helbing,et al.  Growth, innovation, scaling, and the pace of life in cities , 2007, Proceedings of the National Academy of Sciences.

[14]  M. Batty The Size, Scale, and Shape of Cities , 2008, Science.

[15]  F. Semboloni Hierarchy, cities size distribution and Zipf's law , 2008 .

[16]  Hernán D. Rozenfeld,et al.  Laws of population growth , 2008, Proceedings of the National Academy of Sciences.

[17]  Euan A Ashley,et al.  Does Size Matter?: Clinical Applications of Scaling Cardiac Size and Function for Body Size , 2008, Circulation.

[18]  Luís M. A. Bettencourt,et al.  Why are large cities faster? Universal scaling and self-similarity in urban organization and dynamics , 2008 .

[19]  D. Sornette Dragon-Kings, Black Swans and the Prediction of Crises , 2009, 0907.4290.

[20]  Hernán D. Rozenfeld,et al.  The Area and Population of Cities: New Insights from a Different Perspective on Cities , 2009, 1001.5289.

[21]  Mark E. J. Newman,et al.  Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[22]  Denise Pumain,et al.  Innovation Cycles and Urban Dynamics , 2009 .

[23]  L. Bettencourt,et al.  A unified theory of urban living , 2010, Nature.

[24]  L. Bettencourt,et al.  Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities , 2010, PloS one.

[25]  Kristian Giesen,et al.  The size distribution across all cities - Double Pareto lognormal strikes , 2010 .

[26]  Kristian Giesen,et al.  Zipf's Law for Cities in the Regions and the Country , 2011, SSRN Electronic Journal.

[27]  Bin Jiang,et al.  Zipf's law for all the natural cities in the United States: a geospatial perspective , 2010, Int. J. Geogr. Inf. Sci..

[28]  Michael Batty Cities, Prosperity, and the Importance of Being Large , 2011 .

[29]  M. Porter,et al.  Critical Truths About Power Laws , 2012, Science.

[30]  D. Sornette,et al.  Robust statistical tests of Dragon-Kings beyond power law distributions , 2012 .

[31]  J. A. Tenreiro Machado,et al.  A review of power laws in real life phenomena , 2012 .

[32]  L. Bettencourt,et al.  The Statistics of Urban Scaling and Their Connection to Zipf’s Law , 2012, PloS one.

[33]  Michael Batty,et al.  There is More than a Power Law in Zipf , 2012, Scientific Reports.

[34]  Didier Sornette,et al.  Statistical outliers and dragon-kings as Bose-condensed droplets , 2012, 1205.1364.

[35]  Daniel ben-Avraham,et al.  Spatially distributed social complex networks , 2013, ArXiv.

[36]  Roberto Murcio,et al.  Second-order metropolitan urban phase transitions , 2013 .

[37]  Diego Rybski,et al.  Distance-weighted city growth. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  L. Bettencourt,et al.  Supplementary Materials for The Origins of Scaling in Cities , 2013 .

[39]  K. Seto,et al.  Does Size Matter? Scaling of CO2 Emissions and U.S. Urban Areas , 2013, PloS one.

[40]  J. S. Andrade,et al.  Large cities are less green , 2014, Scientific Reports.

[41]  M. Barthelemy,et al.  How congestion shapes cities: from mobility patterns to scaling , 2014, Scientific Reports.

[42]  Jonathan Reades,et al.  Mapping the ‘Space of Flows’: The Geography of Global Business Telecommunications and Employment Specialization in the London Mega-City-Region , 2014 .

[43]  Bin Zhou,et al.  The Size Distribution, Scaling Properties and Spatial Organization of Urban Clusters: A Global and Regional Percolation Perspective , 2014, ISPRS Int. J. Geo Inf..

[44]  Dominik E. Reusser,et al.  Cities as nuclei of sustainability? , 2013, 1304.4406.