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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...
Autor principal: | Keuschnigg, Marc |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628653/ https://www.ncbi.nlm.nih.gov/pubmed/31235579 http://dx.doi.org/10.1073/pnas.1906258116 |
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