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Crime, inequality and public health: a survey of emerging trends in urban data science

Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summarized in the United Nations' Sustainable Development Goals (SDGs). The advent of the digital age generated by mode...

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Autores principales: Luca, Massimiliano, Campedelli, Gian Maria, Centellegher, Simone, Tizzoni, Michele, Lepri, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248183/
https://www.ncbi.nlm.nih.gov/pubmed/37303974
http://dx.doi.org/10.3389/fdata.2023.1124526
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author Luca, Massimiliano
Campedelli, Gian Maria
Centellegher, Simone
Tizzoni, Michele
Lepri, Bruno
author_facet Luca, Massimiliano
Campedelli, Gian Maria
Centellegher, Simone
Tizzoni, Michele
Lepri, Bruno
author_sort Luca, Massimiliano
collection PubMed
description Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summarized in the United Nations' Sustainable Development Goals (SDGs). The advent of the digital age generated by modern alternative data sources provides new tools to tackle these challenges with spatio-temporal scales that were previously unavailable with census statistics. In this review, we present how new digital data sources are employed to provide data-driven insights to study and track (i) urban crime and public safety; (ii) socioeconomic inequalities and segregation; and (iii) public health, with a particular focus on the city scale.
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spelling pubmed-102481832023-06-09 Crime, inequality and public health: a survey of emerging trends in urban data science Luca, Massimiliano Campedelli, Gian Maria Centellegher, Simone Tizzoni, Michele Lepri, Bruno Front Big Data Big Data Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization and increasing urbanization posing new challenges in sustainable urban development well summarized in the United Nations' Sustainable Development Goals (SDGs). The advent of the digital age generated by modern alternative data sources provides new tools to tackle these challenges with spatio-temporal scales that were previously unavailable with census statistics. In this review, we present how new digital data sources are employed to provide data-driven insights to study and track (i) urban crime and public safety; (ii) socioeconomic inequalities and segregation; and (iii) public health, with a particular focus on the city scale. Frontiers Media S.A. 2023-05-25 /pmc/articles/PMC10248183/ /pubmed/37303974 http://dx.doi.org/10.3389/fdata.2023.1124526 Text en Copyright © 2023 Luca, Campedelli, Centellegher, Tizzoni and Lepri. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Luca, Massimiliano
Campedelli, Gian Maria
Centellegher, Simone
Tizzoni, Michele
Lepri, Bruno
Crime, inequality and public health: a survey of emerging trends in urban data science
title Crime, inequality and public health: a survey of emerging trends in urban data science
title_full Crime, inequality and public health: a survey of emerging trends in urban data science
title_fullStr Crime, inequality and public health: a survey of emerging trends in urban data science
title_full_unstemmed Crime, inequality and public health: a survey of emerging trends in urban data science
title_short Crime, inequality and public health: a survey of emerging trends in urban data science
title_sort crime, inequality and public health: a survey of emerging trends in urban data science
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248183/
https://www.ncbi.nlm.nih.gov/pubmed/37303974
http://dx.doi.org/10.3389/fdata.2023.1124526
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