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Research Article

A Multi-Method Data Science Pipeline for Analyzing Police Service

ORCID Icon, , &
Received 01 Dec 2022, Accepted 16 Jun 2024, Accepted author version posted online: 01 Jul 2024
Accepted author version

References

  • Ang, D., Bencsik, P., Bruhn, J. and Derenoncourt, E. (2021), ‘Police violence reduces civilian cooperation and engagement with law enforcement’.
  • Arnsbarger, M., Goldstein, J., Kelling, C., Korkmaz, G. and Keller, S. (2021), ‘Modeling response time to structure fires’, The American Statistician 75(1), 92–100.
  • Bell, M. C. (2020), ‘Located institutions: Neighborhood frames, residential preferences, and the case of policing’, American Journal of Sociology 125(4), 917–973.
  • Blake, L. and Coupe, R. (2001), ‘The impact of single and two-officer patrols on catching burglars in the act: a critique of the audit commission’s reports on youth justice’, British journal of criminology 41(2), 381–396.
  • Bradski, G. (2000), ‘The OpenCV Library’, Dr. Dobb’s Journal of Software Tools .
  • Buades, A., Coll, B. and Morel, J.-M. (2011), ‘Non-Local Means Denoising’, Image Processing On Line 1, 208–212. DOI: 10.5201/ipol.2011.bcm_nlm.
  • Cai, B. and Shimizu, I. (2014), Negative binomials regression model in analysis of wait time at hospital emergency department, in ‘Proceedings. American Statistical Association. Annual Meeting’, NIH Public Access.
  • Cameron, A. C. and Trivedi, P. K. (1990), ‘Regression-based tests for overdispersion in the poisson model’, Journal of econometrics 46(3), 347–364.
  • Cavallo, S., Lynch, J. and Scull, P. (2014), ‘The digital divide in citizen-initiated government contacts: A gis approach’, Journal of Urban Technology 21(4), 77–93.
  • Census Bureau, U. (2021), ‘Group Quarters and Residence Rules for Poverty’, https://www.census.gov/topics/income-poverty/poverty/guidance/group-quarters.html.
  • Cho, W. K. T. (1998), ‘Iff the assumption fits…: A comment on the king ecological inference solution’, Political Analysis 7, 143–163.
  • Cihan, A., Zhang, Y. and Hoover, L. (2012), ‘Police response time to in-progress burglary: A multilevel analysis’, Police Quarterly 15(3), 308–327.
  • Desmond, M., Papachristos, A. V. and Kirk, D. S. (2016), ‘Police violence and citizen crime reporting in the black community’, American sociological review 81(5), 857–876.
  • Eastern Kentucky University Justice and Safety Center (2004), Law Enforcement Technology–are Small and Rural Agencies Equipped and Trained?, US Department of Justice, Office of Justice Programs, National Institute of ….
  • Fenwick, T. (2015), ‘Learning policing in rural spaces:‘covering 12 foot rooms with 8 foot carpets”, Policing: A Journal of Policy and Practice 9(3), 234–241.
  • Gillies, S. et al. (2007), ‘Shapely: manipulation and analysis of geometric objects’. URL: https://github.com/Toblerity/Shapely
  • Gillies, S. et al. (2013), Rasterio: geospatial raster I/O for Python programmers, Mapbox. URL: https://github.com/rasterio/rasterio
  • Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., Kern, R., Picus, M., Hoyer, S., van Kerkwijk, M. H., Brett, M., Haldane, A., del Río, J. F., Wiebe, M., Peterson, P., Gérard-Marchant, P., Sheppard, K., Reddy, T., Weckesser, W., Abbasi, H., Gohlke, C. and Oliphant, T. E. (2020), ‘Array programming with NumPy’, Nature 585(7825), 357–362. URL: DOI: 10.1038/s41586-020-2649-2.
  • Howe, C. J., Cole, S. R., Westreich, D. J., Greenland, S., Napravnik, S. and Eron, J. J. (2011), ‘Splines for trend analysis and continuous confounder control’, Epidemiology. 22(6).
  • Huey, L. and Ricciardelli, R. (2015), “this isn’t what i signed up for’ when police officer role expectations conflict with the realities of general duty police work in remote communities’, International Journal of Police science & management 17(3), 194–203.
  • Hyland, S. S. and Davis, E. (2019), ‘Local police departments, 2016: Personnel’, Las Vegas: United States Department of Justice Office of Justice Programs Bureau of Justice Statistics .
  • Jordahl, K., den Bossche, J. V., Fleischmann, M., Wasserman, J., McBride, J., Gerard, J., Tratner, J., Perry, M., Badaracco, A. G., Farmer, C., Hjelle, G. A., Snow, A. D., Cochran, M., Gillies, S., Culbertson, L., Bartos, M., Eubank, N., maxalbert, Bilogur, A., Rey, S., Ren, C., Arribas-Bel, D., Wasser, L., Wolf, L. J., Journois, M., Wilson, J., Greenhall, A., Holdgraf, C., Filipe and Leblanc, F. (2020), geopandas/geopandas: v0.8.1. URL: DOI: 10.5281/zenodo.3946761.
  • Kay, A. (2007), ‘Tesseract: An open-source optical character recognition engine’, Linux J. 2007(159), 2.
  • King, G. (2013), A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data, Princeton University Press. URL: DOI: 10.1515/9781400849208.
  • King, G., Rosen, O. and Tanner, M. A. (1999), ‘Binomial-beta hierarchical models for ecological inference’, Sociological Methods & Research 28(1), 61–90. URL: DOI: 10.1177/0049124199028001004.
  • King, G., Tanner, M. A. and Rosen, O. (2004), Ecological inference: New methodological strategies, Cambridge University Press.
  • Knudson, K. C., Schoenbach, G. and Becker, A. (2021), ‘Pyei: A python package for ecological inference’, Journal of Open Source Software 6(64), 3397. URL: DOI: 10.21105/joss.03397.
  • Kontokosta, C. E. and Hong, B. (2021), ‘Bias in smart city governance: How socio-spatial disparities in 311 complaint behavior impact the fairness of data-driven decisions’, Sustainable Cities and Society 64, 102503. URL: https://www.sciencedirect.com/science/article/pii/S2210670720307216
  • Kumar, R., Carroll, C., Hartikainen, A. and Martín, O. A. (2019), ‘Arviz a unified library for exploratory analysis of bayesian models in python’.
  • Lee, J.-S., Lee, J. and Hoover, L. T. (2017), ‘What conditions affect police response time? examining situational and neighborhood factors’, Police Quarterly 20(1), 61–80.
  • Levenshtein, V. (1965), ‘Binary codes capable of correcting spurious insertions and deletions of ones’, Russian Problemy Peredachi Informatsii 1, 12–25.
  • National Highway Traffic Safety Administration National 911 Program (2023), ‘Computer-Aided Dispatch Interoperability Strategies for Success ’, https://www.911.gov/projects/cad-assessment-project/. Last Accessed 2023-01-11.
  • OpenStreetMap contributors (2017), ‘Planet dump retrieved from https://planet.osm.org ’, https://www.openstreetmap.org.
  • Payne, B. K., Berg, B. L. and Sun, I. Y. (2005), ‘Policing in small town america: Dogs, drunks, disorder, and dysfunction’, Journal of Criminal Justice 33(1), 31–41.
  • Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M. and Duchesnay, E. (2011), ‘Scikit-learn: Machine learning in Python’, Journal of Machine Learning Research 12, 2825–2830.
  • Peeples, L. (2020), ‘What the data say about police brutality and racial bias—and which reforms might work’.
  • Rupprecht, L., Davis, J. C., Arnold, C., Gur, Y. and Bhagwat, D. (2020), ‘Improving reproducibility of data science pipelines through transparent provenance capture’, Proceedings of the VLDB Endowment 13(12), 3354–3368.
  • Salvatier, J., Wiecki, T. V. and Fonnesbeck, C. (2016), ‘Probabilistic programming in python using pymc3’, PeerJ Computer Science 2, e55.
  • SeatGeek Inc (2014), fuzzywuzzy: Fuzzy String Matching in Python. URL: https://github.com/seatgeek/fuzzywuzzy
  • Sheppard, K. G. and Stowell, J. I. (2022), ‘Police fatal force and crime reporting: A test of community responses to fatal police-civilian encounters’, Journal of interpersonal violence 37(21-22), NP19730–NP19758.
  • Social Explorer (2022), https://www.socialexplorer.com. Accessed: 2022-08-25.
  • Strohl, A. E., Feinglass, J. M., Shahabi, S. and Simon, M. A. (2016), ‘Surgical wait time: a new health indicator in women with endometrial cancer’, Gynecologic oncology 141(3), 511–515.
  • The National Freedom of Information Coalition (2023), ‘State Freedom of Information Laws’, https://www.nfoic.org/state-freedom-of-information-laws/. Accessed 2023-02-09.
  • The pandas development team (2020), pandas-dev/pandas: Pandas. URL: DOI: 10.5281/zenodo.3509134.
  • Tractenberg, R. (2022), Ethical Reasoning for a Data-Centered World, Ethics International Press.
  • Vehtari, A., Gelman, A., Simpson, D., Carpenter, B. and Bürkner, P.-C. (2021), ‘Rank-Normalization, Folding, and Localization: An Improved R̂ for Assessing Convergence of MCMC (with Discussion)’, Bayesian Analysis 16(2). URL:
  • Weisheit, R. A. and Wells, L. E. (1996), ‘Rural crime and justice: Implications for theory and research’, Crime & delinquency 42(3), 379–397.
  • Weisheit, R. A., Wells, L. E. and Falcone, D. N. (1994), ‘Community policing in small town and rural america’, Crime & Delinquency 40(4), 549–567.
  • Wu, W.-N. (2020), ‘Determinants of citizen-generated data in a smart city: Analysis of 311 system user behavior’, Sustainable Cities and Society 59, 102167.
  • Xie, M. and Baumer, E. P. (2019), ‘Crime victims’ decisions to call the police: Past research and new directions’, Annual Review of Criminology 2, 217–240.

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