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Evolution of urban scaling: Evidence from Brazil
Joao Meirelles1,2, Camilo Rodrigues Neto2, Fernando Fagundes Ferreira2
1Department of Civil and Environmental Engineering, Swiss Federal Institute of Technology Lausanne, Lausanne, VD, Switzerland.
Plos One
|October 5, 2018
Summary
This study tested urban scaling laws in Brazil, finding socioeconomic variables scaled as expected but some infrastructure and service variables deviated, possibly due to policy. These deviations may be temporary as systems evolve.
Area of Science:
- Urban Science
- Complexity Science
- Quantitative Geography
Background:
- The science of cities uses quantitative methods to understand urban phenomena.
- A key concept is universal scaling behavior in urban socioeconomic, infrastructural, and service variables.
- This study examines the universality of urban scaling in a developing country context.
Purpose of the Study:
- To extend the universality proposition of urban scaling to a developing country's urban system.
- To explore scaling exponents for over 60 variables in the Brazilian urban system.
- To investigate deviations from expected scaling and their potential causes.
Main Methods:
- Selected urban-like municipalities in Brazil using a density cut-off procedure.
- Estimated scaling exponents for over 60 socioeconomic, infrastructural, and individual basic services variables.
- Validated findings by comparing results with studies using alternative methods.
Main Results:
- Socioeconomic variables exhibited superlinear scaling with population size, as expected.
- Most infrastructure and individual basic services variables showed expected sublinear and linear scaling, respectively.
- Some infrastructural and individual basic services variables deviated from expected scaling, challenging universality.
Conclusions:
- Deviations in urban scaling may be influenced by top-down policy decisions.
- Observed trends suggest these deviations might be temporary, with systems potentially evolving towards expected scaling regimes.
- The 10-year analysis provides preliminary insights into the dynamic nature of urban scaling.
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