2018
DOI: 10.1073/pnas.1718690115
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From global scaling to the dynamics of individual cities

Abstract: Scaling has been proposed as a powerful tool to analyze the properties of complex systems and in particular for cities where it describes how various properties change with population. The empirical study of scaling on a wide range of urban datasets displays apparent nonlinear behaviors whose statistical validity and meaning were recently the focus of many debates. We discuss here another aspect, which is the implication of such scaling forms on individual cities and how they can be used for predicting the beh… Show more

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Cited by 106 publications
(92 citation statements)
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References 27 publications
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“…From a theoretical point of view, recent studies have investigated the structural advantage of cities in a wide range of output indicators, from patent production to personal income, through the robust framework of scaling [8,16]. In particular, superlinear scaling of cities' growth has been explained as a consequence of increased social interactions with population density [7] and by the process of selective migration of highly productive individuals into larger cities [26,54].…”
Section: Related Workmentioning
confidence: 99%
“…From a theoretical point of view, recent studies have investigated the structural advantage of cities in a wide range of output indicators, from patent production to personal income, through the robust framework of scaling [8,16]. In particular, superlinear scaling of cities' growth has been explained as a consequence of increased social interactions with population density [7] and by the process of selective migration of highly productive individuals into larger cities [26,54].…”
Section: Related Workmentioning
confidence: 99%
“…The different cities display then a variety of behaviors ranging from pure power laws with exponents larger than one, or two power laws, etc. (see [56] for details). The scaling obtained by averaging over all cities appears then completely unrelated to the dynamics of individual cities when their population grow.…”
Section: Averaging Over Many Cities ?mentioning
confidence: 99%
“…As we discuss in the text there is no obvious relation between the global power-law scaling and the individual behavior of cities. Figure taken from [56].…”
Section: Averaging Over Many Cities ?mentioning
confidence: 99%
“…This has led to numerous studies on how the diverse properties of cities are changing with population, for instance addressing patent numbers, the selling of gas, road length, occupational structure, congestion, crime, etc. Nowadays, this subfield is still very dynamic and animated by a debate about the statistical validity and explanatory power of these relations (Arcaute et al 2015;Cottineau et al 2017;Depersin and Barthelemy 2018). The SIM school (on simulation and complexity) and ECON (economic geography) papers follow quite different trends.…”
Section: Vocabulary and Citation Patternsmentioning
confidence: 99%