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Scaling trajectories of cities

Urban scaling research finds that agglomeration effects—the higher-than-expected outputs of larger cities—follow robust “superlinear” scaling relations in cross-sectional data. But the paradigm has predictive ambitions involving the dynamic scaling of individual cities over many time points and expe...

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Bibliografske podrobnosti
izdano v:Proc Natl Acad Sci U S A
Glavni avtor: Keuschnigg, Marc
Format: Artigo
Jezik:Inglês
Izdano: National Academy of Sciences 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6628653/
https://ncbi.nlm.nih.gov/pubmed/31235579
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1906258116
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