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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...
Tallennettuna:
| Julkaisussa: | Proc Natl Acad Sci U S A |
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| Päätekijä: | |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
National Academy of Sciences
2019
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| Aiheet: | |
| Linkit: | 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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