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Review
. 2023 May 25:6:1124526.
doi: 10.3389/fdata.2023.1124526. eCollection 2023.

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

Massimiliano Luca  1   2 , Gian Maria Campedelli  3 , Simone Centellegher  1 , Michele Tizzoni  3 , Bruno Lepri  1
Affiliations
Review

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

Massimiliano Luca et al. Front Big Data. .

Abstract

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.

Keywords: cities; crime; digital data; public health; segregation and inequalities.

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Conflict of interest statement

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.

Figures

Figure 1
Figure 1
Visual summary of the topics covered in the paper. (Middle) The list of the addressed macro-topics and how they can be mapped to the United Nations' Sustainable Development Goals (Right). (Left) An overview of the novel (alternative) data sources that enable the development of complex computational models that tackle problems in Urban Crime, Inequality and Public Health (icons: Flaticon.com; SDGs icons: UN).
See this image and copyright information in PMC

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