Prescriptive Analytics in Urban Policing Operations
Published Online:9 Nov 2021https://doi.org/10.1287/msom.2021.1022
References
- (2016a) Area-specific crime prediction models. 15th IEEE Internat. Conf. Machine Learn. Appl. (IEEE, Piscataway, NJ), 671–676.Google Scholar
- (2016b) Automatic optimization of localized kernel density estimation for hotspot policing. 15th IEEE Internat. Conf. Machine Learn. Appl. (IEEE, Piscataway, NJ), 32–38.Google Scholar
- (2011) An experimental study of compressed work schedules in policing: Advantages and disadvantages of various shift lengths. J. Experiment. Criminology 7(4):407–442.Crossref, Google Scholar
- (2014) Business analytics for flexible resource allocation under random emergencies. Management Sci. 60(6):1552–1573.Link, Google Scholar
- (2019) From predictive to prescriptive analytics. Management Sci. 66(3):1025–1044.Link, Google Scholar
- (2003) Latent Dirichlet allocation. J. Machine Learn. Res. 3:993–1022.Google Scholar
- (2016) Automatically processing tweets from gang-involved youth: Toward detecting loss and aggression. Matsumoto Y, Prasad R, eds. 26th Internat. Conf. Comput. Linguistics: Technical Papers (The COLING 2016 Organizing Committee, Osaka, Japan), 2196–2206.Google Scholar
- (2014) The effects of hot spots policing on crime: An updated systematic review and meta-analysis. Justice Quart. 31(4):633–663.Crossref, Google Scholar
- (2017) Social media analytics and value creation in urban smart tourism ecosystems. Inform. Management 54(6):703–713.Crossref, Google Scholar
- (1978) A patrol car allocation model: Capabilities and algorithms. Management Sci. 24(12):1291–1300.Link, Google Scholar
- (2008) The utility of hotspot mapping for predicting spatial patterns of crime. Security J. 21(1–2):4–28.Crossref, Google Scholar
- (1978) An algorithm for deploying a crime directed (tactical) patrol force. Management Sci. 24(12):1314–1327.Link, Google Scholar
- (2015) Crime prediction using Twitter sentiment and weather. Systems Inform. Engrg. Design Sympos. (IEEE, Piscataway, NJ), 63–68.Google Scholar
- (2008) Forecasting crime using the ARIMA model. Ma J, Yin Y, Yu J, Zhou S, eds. Fifth Internat. Conf. Fuzzy Systems Knowledge Discovery (IEEE, Piscataway, NJ), 627–630.Google Scholar
- (1974) The maximal covering location problem. Papers Regional Sci. 32(1):101–118.Crossref, Google Scholar
- (2004) Do police reduce crime? Estimates using the allocation of police forces after a terrorist attack. Amer. Econom. Rev. 94(1):115–133.Crossref, Google Scholar
- (2019) Optimising police dispatch for incident response in real time. J. Oper. Res. Soc. 70(2):269–279.Crossref, Google Scholar
- (2020) Smart “predict, then optimize”. Management Sci., ePub ahead of print, https://doi.org/10.1287/mnsc.2020.3922.Google Scholar
- (2017) Policing predictive policing. Washington Univ. Law Rev. 94(5):1109–1190.Google Scholar
- (2020) Fair AI. Bus. Inform. Systems Engrg. 62(4):379–384.Crossref, Google Scholar
- (2016) Benders decomposition without separability: A computational study for capacitated facility location problems. Eur. J. Oper. Res. 253(3):557–569.Crossref, Google Scholar
- (2014) Predicting crime using Twitter and kernel density estimation. Decision Support Systems 61:115–125.Crossref, Google Scholar
- (2009) The Elements of Statistical Learning (Springer, New York).Crossref, Google Scholar
- (2017) Prediction of crime occurrence from multi-modal data using deep learning. PLOS One 12(4):e0176244.Crossref, Google Scholar
- (2019) Predictive police patrolling to target hotspots and cover response demand. Ann. Oper. Res. 283(1–2):395–410.Crossref, Google Scholar
- (2020) What three cities are spending on police compared with everything else. Slate (June 19), accessed September 18, 2020, https://slate.com/news-and-politics/2020/06/what-los-angeles-minneapolis-dallas-police-spend.html.Google Scholar
- (2020) An algorithm that grants freedom, or takes it away. New York Times Online (February 6), accessed September 18, 2020, https://www.nytimes.com/2020/02/06/technology/predictive-algorithms-crime.html.Google Scholar
- (2017) Big data and marketing analytics in gaming: Combining empirical models and field experimentation. Marketing Sci. 36(5):699–725.Link, Google Scholar
- (2007) Detecting and preventing emerging epidemics of crime. Adv. Disease Surveillance 4(13).Google Scholar
- (2019) A smart-city scope of operations management. Production Oper. Management 28(2):393–406.Crossref, Google Scholar
- (1970) Central facilities location. Geographical Anal. 2(1):30–42.Crossref, Google Scholar
- (2017) Relationships between crime and Twitter activity around stadiums. 25th Internat. Conf. Geoinformatics (IEEE, Piscataway, NJ), 1–5.Google Scholar
- (2020) Covid-19 proves it’s time to abolish ‘predictive’ policing algorithms. Wired Online (August 27), accessed September 18, 2020, https://www.wired.com/story/covid-19-proves-its-time-to-abolish-predictive-policing-algorithms/.Google Scholar
- (2017) Reform predictive policing. Nature 541(7638):458–460.Crossref, Google Scholar
- (1995) General deterrent effects of police patrol in crime “hot spots”: A randomized, controlled trial. Justice Quart. 12(4):625–648.Crossref, Google Scholar
- (1989) A break from tradition for the San Francisco police: Patrol officer scheduling using an optimization-based decision support system. Interfaces 19(1):4–24.Link, Google Scholar
- (2020) Sustainable electric vehicle charging using adaptive pricing. Production Oper. Management 29(6):1550–1572.Crossref, Google Scholar
- (2015) Using Twitter for next-place prediction, with an application to crime prediction. IEEE Sympos. Ser. Computat. Intelligence (IEEE, Piscataway, NJ), 941–948.Google Scholar
- (2019) Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization. Proc. AAAI Conf. Artificial Intelligence, vol. 33 (AAAI Press, Palo Alto, CA), 1658–1665.Google Scholar
- (2016) Crime sensing with big data: The affordances and limitations of using open source communications to estimate crime patterns. British J. Criminology 57(2):320–340.Google Scholar
- (2017) Moving in time and space—Location intelligence for carsharing decision support. Decision Support Systems 99:75–85.Crossref, Google Scholar

