Evidence map›Paper›PMID 42466068›Full record

ArticleCrime science2026

The association between mobility and crime in England and Wales.

Hulya Seyidoglu, Jose Pina-Sánchez, Nick Malleson, Graham Farrell

Abstract read
In one paragraph

Article in Crime science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hulya SeyidogluGendarmerie and Coastal Guard Academy, Ankara, Turkey.ORCID 0000-0002-1095-4268
Jose Pina-SánchezSchool of Law, University of Leeds, Leeds, UK.ORCID 0000-0002-9416-6022
Nick MallesonSchool of Geography, University of Leeds, Leeds, UK.ORCID 0000-0002-6977-0615
Graham FarrellSchool of Law, University of Leeds, Leeds, UK.ORCID 0000-0002-3987-8457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study provides the first national-level longitudinal analysis directly linking mobility data to police-recorded crime across local authorities in England and Wales, while controlling for stable structural differences between places. Its purpose is to examine how changes in human mobility are associated with changes in crime, taking advantage of the disruption in mobility caused by the COVID-19 pandemic. Methods: Negative binomial regression models were applied across 328 local authorities from March 2020 to October 2022, with area fixed effects, to assess how mobility across different activity spaces relates to police-recorded crime while accounting for unobserved, time-invariant local characteristics. Results: The exploratory and modelling analyses showed that the mobility-crime relationship varied considerably by offence type and across local authorities. Increased residential mobility was consistently associated with lower levels of property, violent, and public order crimes, while mobility around retail, grocery, transit, and workplace areas was generally associated with higher crime once stable local differences were controlled. Sensitivity analyses suggested the results are robust to plausible levels of unobserved confounding. Conclusion: The impact of mobility on crime during and after the pandemic in England and Wales was not uniform but was shaped by local conditions and time-invariant characteristics. The findings underline the need for place-specific approaches in crime prevention and suggest that mobility-related interventions should be tailored to the structural and social context of each area. Supplementary Information: The online version contains supplementary material available at 10.1186/s40163-026-00291-z.

Indexed as

COVID-19 pandemicCrimeHuman mobilityMobility-crime relationshipRoutine activities theory

Identifiers

PMID42466068
PMCPMC13372996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.