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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8172046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bottafederico modellingurbanvibrancywithmobilephoneandopenstreetmapdata AT gutierrezroigmario modellingurbanvibrancywithmobilephoneandopenstreetmapdata |