Cited by 62Crime Patterns and InterventionsHuman Mobility and Location-Based AnalysisCriminal Justice and Penology

The geography of crime fear: A pilot study exploring event-based perceptions of risk using mobile technology

Chataway, Michael L., Hart, Timothy C., Coomber, Ross, Bond, Christine·2017·Applied Geography

Integrity signals

Registry

Crossref · 10.1016/j.apgeog.2017.06.010

Cites

5 of 5 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?

Cites

Flagged first, then by citations

Authors
Chataway, M. L., Hart, T. C., Coomber, R., & Bond, C.
Affiliations
Griffith University (AU)
Corresponding author
Chataway, Michael L.
Venue
Applied Geography
Publisher
Elsevier BV
Published
2017-09
Volume
86
Pages
300-307
ISSN
0143-6228 (ISSN-L)
OpenAlex
W2625000264
Cited by
62
References
5
Citations by year
2026: 5 · 2025: 7 · 2024: 11 · 2023: 6 · 2022: 8 · 2021: 6 · 2020: 10 · 2019: 4 · 2018: 5
FWCI
13.30
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Geography (publishedVersion)
  • QUT ePrints (Queensland University of Technology) (submittedVersion)
  • Griffith Research Online (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
  • Social Sciences › Law › Criminal Justice and Penology
Keywords
fear of crime, risk perception, ecological momentary assessment, mobile technology, mobile application, social cohesion, place-based analysis, university students

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