Hierarchical organization of urban mobility and its connection with city livability
| Autor: | Brian Dickinson, Gourab Ghoshal, Onur Küçüktunç, Hugo Barbosa-Filho, Bryant Gipson, Allison Lieber, Paul Eastham, Surendra Hazarie, Riccardo Gallotti, Aleix Bassolas, Henry Kautz, José J. Ramasco, Adam Sadilek, Xerxes Dotiwalla |
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| Přispěvatelé: | Govern de les Illes Balears, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), University of Rochester, Department of the Army (US) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Science
Population Complex networks General Physics and Astronomy Social sciences General Biochemistry Genetics and Molecular Biology Article Matters Arising Urbanization ComputerApplications_MISCELLANEOUS Per capita Hierarchical organization education lcsh:Science education.field_of_study Multidisciplinary Geography business.industry Computational science General Chemistry Environmental economics Health indicator Walkability Public transport lcsh:Q Metric (unit) business |
| Zdroj: | Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019) Nature Communications Digital.CSIC. Repositorio Institucional del CSIC instname |
| ISSN: | 2041-1723 |
| Popis: | The recent trend of rapid urbanization makes it imperative to understand urban characteristics such as infrastructure, population distribution, jobs, and services that play a key role in urban livability and sustainability. A healthy debate exists on what constitutes optimal structure regarding livability in cities, interpolating, for instance, between mono- and poly-centric organization. Here anonymous and aggregated flows generated from three hundred million users, opted-in to Location History, are used to extract global Intra-urban trips. We develop a metric that allows us to classify cities and to establish a connection between mobility organization and key urban indicators. We demonstrate that cities with strong hierarchical mobility structure display an extensive use of public transport, higher levels of walkability, lower pollutant emissions per capita and better health indicators. Our framework outperforms previous metrics, is highly scalable and can be deployed with little cost, even in areas without resources for traditional data collection. The growing availability of human mobility data can help assess the structure and dynamics of urban environments and their relation to the performance of cities. Here the authors introduce a metric of hierarchy in urban travel and find correlations between levels of hierarchy and other urban indicators. |
| Databáze: | OpenAIRE |
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