Cited by 54Crime Patterns and InterventionsPolicing Practices and PerceptionsCriminal Justice and Penology

Hot spots policing in a high-crime environment: an experimental evaluation in Medellín

Open access
Collazos, Daniela, García, Eduardo, Mejía, Daniel, Ortega, Daniel, Tobón, Santiago·2021·Journal of Experimental Criminology

Integrity signals

Registry

Crossref · 10.1007/s11292-019-09390-1

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Crime hot spot analysis and mapping primarily involves retrospective analysis, description, and visualization of areas with high crime concentrations based on spatial intelligence in order to allocate police resources and implement specific tactics.

    “This approach primarily involves the retrospective analysis, description, and visualization of areas with high crime concentrations based on spatial intelligence in order to allocate police resources and implement specific tactics (Ariel et al., 2016;Ariel & Partridge, 2017;Collazos et al., 2020;Corsaro et al., 2021).”
  • 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).”
  • Many of the studies included in this review addressed concerns regarding the stable unit treatment value assumption (SUTVA).

    “Many of the studies included in this review addressed concerns regarding the stable unit treatment value assumption (SUTVA) (e.g., Ariel et al., 2016Ariel et al., , 2019Ariel et al., , 2020;;Ariel & Partridge, 2016;Collazos et al., 2020).”

Cites

Flagged first, then by citations

Cited by

Authors
Collazos, D., García, E., Mejía, D., Ortega, D., & Tobón, S.
Affiliations
  • Gobierno de Colombia (CO)
  • University of Rochester (US)
  • Universidad de Los Andes (CO)
  • Instituto de Estudios Superiores de Administración (VE)
  • Universidad EAFIT (CO)
Corresponding author
Tobón, Santiago
Venue
Journal of Experimental Criminology
Published
2020-02-13
Volume
17
Issue
3
Pages
473-506
ISSN
  • 1572-8315 (ISSN-L)
  • 1573-3750
OpenAlex
W3005610784
Cited by
54
References
10
Citations by year
2026: 6 · 2025: 8 · 2024: 6 · 2023: 10 · 2022: 6 · 2021: 13 · 2020: 4 · 2017: 1
FWCI
11.68
Type
journal article
Language
en
Open access
Locations
  • Journal of Experimental Criminology (publishedVersion)
  • El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT) (submittedVersion, cc-by-nc-sa)
Funders
  • Ministry of Defense of Colombia (N/A)
  • Latin American Development Bank (N/A)
  • City of Medellin (N/A)
  • Organización Ardila Lülle (N/A)
  • Open Society Foundations (N/A)
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, crime displacement, motor vehicle theft, assault, perceived security, spillover effects, high-crime neighborhoods, Medellín, randomization inference, crime prevention, police capacity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review