Association between population distribution and urban GDP scaling
arXiv:2101.03073 · doi:10.1371/journal.pone.0245771
Abstract
Urban scaling and Zipf's law are two fundamental paradigms for the science of cities. These laws have mostly been investigated independently and are often perceived as disassociated matters. Here we present a large scale investigation about the connection between these two laws using population and GDP data from almost five thousand consistently-defined cities in 96 countries. We empirically demonstrate that both laws are tied to each other and derive an expression relating the urban scaling and Zipf exponents. This expression captures the average tendency of the empirical relation between both exponents, and simulations yield very similar results to the real data after accounting for random variations. We find that while the vast majority of countries exhibit increasing returns to scale of urban GDP, this effect is less pronounced in countries with fewer small cities and more metropolises (small Zipf exponent) than in countries with a more uneven number of small and large cities (large Zipf exponent). Our research puts forward the idea that urban scaling does not solely emerge from intra-city processes, as population distribution and scaling of urban GDP are correlated to each other.
arXiv comment17 pages, 3 figures, supplementary information; accepted for publication in PLoS ONE
References in corpus (13)
- Power-law distributions in empirical data
- Powerlaw: a Python package for analysis of heavy-tailed distributions
- Constructing cities, deconstructing scaling laws
- Scale-free Resilience of Real Traffic Jams
- The statistical physics of Cities
- From global scaling to the dynamics of individual cities
- Explaining the Prevalence, Scaling and Variance of Urban Phenomena
- MetaZipf. (Re)producing knowledge about city size distributions
- Rich and Poor Cities in Europe. Urban Scaling to Mapping European Economic Convergence
- Analogies between the cracking noise of ethanol-dampened charcoal and earthquakes
- Empirical analysis on the connection between power-law distributions and allometries for urban indicators
- Allometric Scaling of Countries
- Consistency of the PLFit estimator for power-law data
Cited by in corpus (6)
- Commuting network effect on urban wealth scaling
- Some recent advances in urban system science: models and data
- Impact of inter-city interactions on disease scaling
- Evolving spatiotemporal patterns and urban scaling of deaths from external causes
- Observing cities as a complex system
- Change of impervious space in German cities: A scaling law analysis