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Towards social fairness in smart policing: Leveraging territorial, racial, and workload fairness in the police districting problem

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dc.affiliation.institutoUC3M. Instituto UC3M - Santander de Big Dataes
dc.contributor.authorLiberatore, Federico
dc.contributor.authorCamacho-Collados, Miguel
dc.contributor.authorQuijano Sánchez, Lara
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2024-01-25T09:10:41Z
dc.date.available2024-01-25T09:10:41Z
dc.date.issued2023-06-01
dc.description.abstractRecent events (e.g., George Floyd protests) have shown the impact that inequality in policing can have on society. Thus, police operations should be planned and designed taking into account the interests of three main groups of directly affected stakeholders (i.e., general population, minorities, and police agents) to pursue fairness. Most models presented so far in the literature failed at this, optimizing cost efficiency or operational effectiveness instead while disregarding other social goals. In this paper, a Smart Policing model that produces operational patrolling districts and includes territorial, racial, and workload fairness criteria is proposed. The patrolling configurations are designed according to the territorial distribution of crime risk and population subgroups, while equalizing the total risk exposure across the districts, according to the preferences of a decision-maker. The model is formulated as a multi-objective mixed-integer program. Computational experiments on randomly generated data are used to empirically draw insights into the relationship between the fairness criteria considered. Finally, the model is tested and validated on a real-world dataset about the Central District of Madrid (Spain). Experiments show that the model identifies solutions that dominate the current patrolling configuration used.en
dc.description.sponsorshipThe authors would like to thank the Spanish National Police for the crime data used in the case study. The research by Camacho-Collados was supported by a 2021 Spanish Police Foundation Grant (Beca de la Fundación Policía Española 2021), reference #2531. Liberatore was partially funded by the grant PID2019-108679RB-I00 of the Spanish Ministry of Science and Innovation. The research of Quijano-Sánchez was conducted with financial support from the Spanish Ministry of Science and Innovation, grant PID2019-108965GB-I00.en
dc.description.statusPublicadoes
dc.format.extent12
dc.identifier.bibliographicCitationSocio-Economic Planning Sciences, (2023), 87, 101556en
dc.identifier.doihttps://doi.org/10.1016/j.seps.2023.101556
dc.identifier.issn0038-0121
dc.identifier.publicationtitleSOCIO-ECONOMIC PLANNING SCIENCESen
dc.identifier.publicationvolume87, Part Aen
dc.identifier.urihttps://hdl.handle.net/10016/39507en
dc.identifier.uxxiAR/0000033590
dc.language.isoengen
dc.publisherElsevier Ltd.en
dc.relation.projectIDGobierno de España. PID2019-108965GB-I00es
dc.relation.projectIDGobierno de España. PID2019-108679RB-I00es
dc.rights© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaen
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/en
dc.subject.ecienciaInformáticaes
dc.subject.otherEqualityen
dc.subject.otherFairnessen
dc.subject.otherDistricting problemen
dc.subject.otherResource allocationen
dc.subject.otherSmart policingen
dc.subject.otherSustainable cities and communitiesen
dc.titleTowards social fairness in smart policing: Leveraging territorial, racial, and workload fairness in the police districting problemen
dc.typeresearch articleen
dc.type.hasVersionVoRen
dspace.entity.typePublication
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