Testing hot‐spots police patrols against no‐treatment controls: Temporal and spatial deterrence effects in the London Underground experiment
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Our understanding of causality and effect size in randomized field experiments is challenged by variations in levels of baseline treatment dosage in control groups across experiments testing similar treatments. The clearest design is to compare treated cases with no‐treatment controls in a sample that lacks any prior treatment at baseline. We applied that strategy in a randomized test of hot‐spots police patrols on the previously never‐patrolled, track‐level platforms of the London Underground (LU). In a pretest–posttest, control‐group design, we randomly assigned 57 of the LU's 115 highest crime platforms to receive foot patrol by officers in 15‐minute doses, 4 times per day, during 8‐hour shifts on 4 days a week for 6 months. The effect of 23,272 police arrivals at the treatment hot spots over 26 weeks was to reduce public calls for service by 21 percent on treated platforms relative to controls, primarily when police were absent (97 percent of the measured effect). This effect was six times larger than the mean standardized effect size found in the leading systematic review. This finding provides a benchmark against the baseline counterfactual of no patrol in hot spots, with strong evidence of residual deterrence and no evidence of local displacement.
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In place-based policing studies, preventing major interference often required buffer zones to ensure that control areas did not receive any part of the treatment.
“Given the focus on place-based policing, preventing major interference often required buffer zones to be created, to ensure that control areas did not receive any part of the treatment (e.g., Ariel et al., 2020;Collazos et al., 2020).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2020
Ariel et al. (2019) utilized social network analysis to identify prolific offenders and their cooffending networks, but without the intention of predicting future offending or victimization.
“Ariel et al. (2019) utilized social network analysis to identify prolific offenders and their cooffending networks, but without the intention of predicting future offending or victimization.”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2019
Major interference can also occur at the individual level due to social contamination processes within offending and co-offending networks, as offenders living or residing in treatment areas may be socially connected to offenders in control areas, increasing the likelihood of spillover from treatment to control groups.
“However, it is important to note that major interference can also occur at the individual level due to social contamination processes within offending and co-offending networks, as offenders living or residing in the treatment areas may be socially connected to offenders in the control areas, thus increasing the likelihood of spillover from treatment to control groups (Ariel et al., 2019).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2019
Addressing partial interference mostly required consideration of how the same interventions and conditions could be applied consistently and uniformly within all treated and untreated groups.
“This mostly required consideration of how the same interventions and conditions could be applied consistently and uniformly within all treated and untreated groups (Ariel et al., 2019;Hunt et al., 2014;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2019
These messages gave strong warnings about the increased risks associated with offending or re-offending and were considered to be forms of focused and vicarious deterrence.
“These messages gave strong warnings about the increased risks associated with offending or re-offending and were considered to be forms of focused and vicarious deterrence (Ariel et al., 2019;Santos & Santos, 2016;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2019
Cooperation and deliberation play a crucial role in mitigating treatment integrity failures.
“As mentioned earlier, cooperation and deliberation play a crucial role in mitigating treatment integrity failures (Ariel et al., 2020;Caplan et al., 2021;Ratcliffe et al., 2021;Santos & Santos, 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2020
These deliberative structures provided a platform for discussing tactical decisions, addressing requirements in the police intelligence infrastructure, and ensuring accountability among stakeholders.
“These structures provided a platform for discussing tactical decisions, addressing requirements in the police intelligence infrastructure, and ensuring accountability among stakeholders (e.g., Ariel et al., 2020;Caplan et al., 2021;Ratcliffe et al., 2021;Santos & Santos, 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2020
Deterrence mainly includes communicating deterrent messages of 'zero-tolerance' to deter potential future offenders.
“This mainly includes communicating deterrent messages of 'zero-tolerance' to deter potential future offenders (Ariel et al., 2019;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Ariel et al., 2019
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Ablong, A. F. A., Cahilap, A. B., Nuñezca, J. F., Acas, J. D. N., & Insong, D. J. A. (2026) · International Journal of Research and Innovation in Social Science · doi:10.47772/ijriss.2026.100300135
Ribeiro, R. I., Martins, A. F. G., & Furtado, F. (2026) · Journal of Transportation Security · doi:10.1007/s12198-026-00353-y
Rational choice models of crime decision‐making: A flexible utility framework
Herman, S., Barnum, T. C., Nagin, D. S., & Pogarsky, G. (2026) · Criminology · doi:10.1111/1745-9125.70055
Upskirting on the London Underground: Trends, patterns and investigation outcomes
Prifti, A. M., Tripathi, K., & Sidebottom, A. (2026) · Crime Science · doi:10.1186/s40163-026-00292-y
Jones, P., & Ariel, B. (2026) · Policing A Journal of Policy and Practice · doi:10.1093/police/paag055
Self-citation
- Authors
- Ariel, B., Sherman, L. W., & Newton, M.
- Affiliations
- Hebrew University of Jerusalem (IL)
- University of Cambridge (GB)
- Rail Delivery Group (GB)
- Corresponding author
- Ariel, Barak
- Venue
- Criminology
- Publisher
- Wiley
- Published
- 2019-12-04
- Volume
- 58
- Issue
- 1
- Pages
- 101-128
- ISSN
- 0011-1384 (ISSN-L)
- 1745-9125
- OpenAlex
- W2993914263
- Cited by
- 51
- References
- 56
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 6 · 2021: 9 · 2020: 7
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Criminology (publishedVersion, cc-by)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- Jerry Lee Centre of Experimental Criminology
- Topics
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
- Social Sciences › Law › Criminal Justice and Penology
- Keywords
- hot spot policing, police patrol, foot patrol, displacement effects, crime prevention, London Underground, randomized field experiment, effect size
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