Crime, inequality and public health: a survey of emerging trends in urban data science.
| Autor: | Luca M; Mobile and Social Computing Lab, Bruno Kessler Foundation, Trento, Italy.; Faculty of Computer Science, Free University of Bolzano, Bolzano, Italy., Campedelli GM; Department of Sociology and Social Research, University of Trento, Trento, Italy., Centellegher S; Mobile and Social Computing Lab, Bruno Kessler Foundation, Trento, Italy., Tizzoni M; Department of Sociology and Social Research, University of Trento, Trento, Italy., Lepri B; Mobile and Social Computing Lab, Bruno Kessler Foundation, Trento, Italy. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in big data [Front Big Data] 2023 May 25; Vol. 6, pp. 1124526. Date of Electronic Publication: 2023 May 25 (Print Publication: 2023). |
| DOI: | 10.3389/fdata.2023.1124526 |
| Abstrakt: | 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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Luca, Campedelli, Centellegher, Tizzoni and Lepri.) |
| Databáze: | MEDLINE |
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