Different lockdowns and theft: a Bayesian analysis of COVID-19's impact on urban crime in ZG City, China
Abstract The COVID-19 pandemic and restrictions had an unprecedented impact on human society. Recent studies have shown that the negative effects of pandemic lockdown measures on crime are significant. However, the impact of strict lockdown measures on the spatial distribution of crime at the commun...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | Computational Urban Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43762-025-00182-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|