Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 300

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Different Measures of Vulnerability in their Relation to Different Dimensions of Fear of Crime

Open access
Killias, M.·2000·British Journal of Criminology

Abstract

Vulnerability has, in research conducted over the last decade, been found to be significantly related to fear of crime. It seems to be particularly helpful in explaining seemingly disproportionate fear levels among women and the elderly, as well as in a few situational contexts. In the present research, a representative sample of Switzerland’s population (N=726) was interviewed on various aspects of fear of crime in the public sphere. All respondents were asked how they assessed their own ability to escape or resist in case of an attack by a young assailant. In addition, interviewers rated several aspects of respondents’‘visible’ vulnerability. In multivariate analyses, vulnerability, as assessed by respondents themselves, explained fears and worries about crime better than interviewer-assessed measures of vulnerability. It is concluded that, in comparison to demographic and contextual (neighbourhood) variables, physical vulnerability seems to play an important and consistent role in the genesis of fear of crime.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/bjc/40.3.437

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Metadata

Authors
Killias, M.
Venue
British Journal of Criminology
Published
2000-06-01
Volume
40
Issue
3
Pages
437-450
ISSN
  • 0007-0955 (ISSN-L)
  • 1464-3529
OpenAlex
W2138774242
Cited by
300
References
7
FWCI
8.39
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Different Measures of Vulnerability in their Relation to Different Dimensions of Fear of Crime. https://app.cochat.ai/papers/10.1093/bjc/40.3.437
The paper
Killias, M. (2000). Different Measures of Vulnerability in their Relation to Different Dimensions of Fear of Crime. British Journal of Criminology. https://doi.org/10.1093/bjc/40.3.437

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.