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Modelling urban vibrancy with mobile phone and OpenStreetMap data

The concept of urban vibrancy has become increasingly important in the study of cities. A vibrant urban environment is an area of a city with high levels of human activity and interactions. Traditionally, studying our cities and what makes them vibrant has been very difficult, due to challenges in d...

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Detalles Bibliográficos
Autores principales: Botta, Federico, Gutiérrez-Roig, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172046/
https://www.ncbi.nlm.nih.gov/pubmed/34077441
http://dx.doi.org/10.1371/journal.pone.0252015
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author Botta, Federico
Gutiérrez-Roig, Mario
author_facet Botta, Federico
Gutiérrez-Roig, Mario
author_sort Botta, Federico
collection PubMed
description The concept of urban vibrancy has become increasingly important in the study of cities. A vibrant urban environment is an area of a city with high levels of human activity and interactions. Traditionally, studying our cities and what makes them vibrant has been very difficult, due to challenges in data collection on urban environments and people’s location and interactions. Here, we rely on novel sources of data to investigate how different features of our cities may relate to urban vibrancy. In particular, we explore whether there are any differences in which urban features make an environment vibrant for different age groups. We perform this quantitative analysis by extracting urban features from OpenStreetMap and the Italian census, and using them in spatial models to describe urban vibrancy. Our analysis shows a strong relationship between urban features and urban vibrancy, and particularly highlights the importance of third places, which are urban places offering opportunities for social interactions. Our findings provide evidence that a combination of mobile phone data with crowdsourced urban features can be used to better understand urban vibrancy.
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spelling pubmed-81720462021-06-14 Modelling urban vibrancy with mobile phone and OpenStreetMap data Botta, Federico Gutiérrez-Roig, Mario PLoS One Research Article The concept of urban vibrancy has become increasingly important in the study of cities. A vibrant urban environment is an area of a city with high levels of human activity and interactions. Traditionally, studying our cities and what makes them vibrant has been very difficult, due to challenges in data collection on urban environments and people’s location and interactions. Here, we rely on novel sources of data to investigate how different features of our cities may relate to urban vibrancy. In particular, we explore whether there are any differences in which urban features make an environment vibrant for different age groups. We perform this quantitative analysis by extracting urban features from OpenStreetMap and the Italian census, and using them in spatial models to describe urban vibrancy. Our analysis shows a strong relationship between urban features and urban vibrancy, and particularly highlights the importance of third places, which are urban places offering opportunities for social interactions. Our findings provide evidence that a combination of mobile phone data with crowdsourced urban features can be used to better understand urban vibrancy. Public Library of Science 2021-06-02 /pmc/articles/PMC8172046/ /pubmed/34077441 http://dx.doi.org/10.1371/journal.pone.0252015 Text en © 2021 Botta, Gutiérrez-Roig https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Botta, Federico
Gutiérrez-Roig, Mario
Modelling urban vibrancy with mobile phone and OpenStreetMap data
title Modelling urban vibrancy with mobile phone and OpenStreetMap data
title_full Modelling urban vibrancy with mobile phone and OpenStreetMap data
title_fullStr Modelling urban vibrancy with mobile phone and OpenStreetMap data
title_full_unstemmed Modelling urban vibrancy with mobile phone and OpenStreetMap data
title_short Modelling urban vibrancy with mobile phone and OpenStreetMap data
title_sort modelling urban vibrancy with mobile phone and openstreetmap data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172046/
https://www.ncbi.nlm.nih.gov/pubmed/34077441
http://dx.doi.org/10.1371/journal.pone.0252015
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