{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T23:44:42Z","timestamp":1770335082374,"version":"3.49.0"},"reference-count":47,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Hot spot policing involves the deployment of police patrols to places where high levels of crime have previously concentrated. The creation of patrol routes in these hot spots is mainly a manual process that involves using the results from an analysis of spatial patterns of crime to identify the areas and draw the routes that police officers are required to patrol. In this article we introduce a computational approach for automating the creation of hot spot policing patrol routes. The computational techniques we introduce created patrol routes that covered areas of higher levels of crime than an equivalent manual approach for creating hot spot policing patrol routes, and were more efficient in how they covered crime hot spots. Although the evidence on hot spot policing interventions shows they are effective in decreasing crime, the findings from the current research suggest that the impact of these interventions can potentially be greater when using the computational approaches that we introduce for creating hot spot policing patrol routes.<\/jats:p>","DOI":"10.3390\/ijgi10080560","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T10:54:35Z","timestamp":1629284075000},"page":"560","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Improving the Creation of Hot Spot Policing Patrol Routes: Comparing Cognitive Heuristic Performance to an Automated Spatial Computation Approach"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0093-6805","authenticated-orcid":false,"given":"Spencer P.","family":"Chainey","sequence":"first","affiliation":[{"name":"Jill Dando Institute of Security and Crime Science, University College London, 35 Tavistock Square, London WC1H 9EZ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7915-6048","authenticated-orcid":false,"given":"Jhonata A. S.","family":"Matias","sequence":"additional","affiliation":[{"name":"Insight Data Science Lab, Department of Computing, Federal University of Cear\u00e1, Pici Campus, Block 952, Science Center, Pici, Fortaleza 60440-900, CE, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6386-7854","authenticated-orcid":false,"given":"Francisco Carlos F.","family":"Nunes Junior","sequence":"additional","affiliation":[{"name":"Insight Data Science Lab, Department of Computing, Federal University of Cear\u00e1, Pici Campus, Block 952, Science Center, Pici, Fortaleza 60440-900, CE, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ticiana L.","family":"Coelho da Silva","sequence":"additional","affiliation":[{"name":"Insight Data Science Lab, Department of Computing, Federal University of Cear\u00e1, Pici Campus, Block 952, Science Center, Pici, Fortaleza 60440-900, CE, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 Ant\u00f4nio F.","family":"de Mac\u00eado","sequence":"additional","affiliation":[{"name":"Insight Data Science Lab, Department of Computing, Federal University of Cear\u00e1, Pici Campus, Block 952, Science Center, Pici, Fortaleza 60440-900, CE, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6737-4750","authenticated-orcid":false,"given":"Regis P.","family":"Magalh\u00e3es","sequence":"additional","affiliation":[{"name":"Insight Data Science Lab, Department of Computing, Federal University of Cear\u00e1, Pici Campus, Block 952, Science Center, Pici, Fortaleza 60440-900, CE, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7701-0368","authenticated-orcid":false,"given":"Jos\u00e9 F.","family":"de Queiroz Neto","sequence":"additional","affiliation":[{"name":"Insight Data Science Lab, Department of Computing, Federal University of Cear\u00e1, Pici Campus, Block 952, Science Center, Pici, Fortaleza 60440-900, CE, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4311-4070","authenticated-orcid":false,"given":"Wellington C. P.","family":"Silva","sequence":"additional","affiliation":[{"name":"Federal Police of Brazil, National Police Academy, Rodovia DF 001 KM\u201402 Setor Habitacional Taquari, Lago Norte, CEP, Bras\u00edlia 71559-900, DF, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/s11292-019-09372-3","article-title":"Hot spots policing and crime reduction: An update of an ongoing systematic review and meta-analysis","volume":"15","author":"Braga","year":"2019","journal-title":"J. Exp. Criminol."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Braga, A.A., and Weisburd, D. (2010). 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