Skip to main content

Research Repository

Advanced Search

Outputs (2)

Spatio-temporal stratified associations between urban human activities and crime patterns: a case study in San Francisco around the COVID-19 stay-at-home mandate (2022)
Journal Article
Chen, T., Bowers, K., Zhu, D., Gao, X., & Cheng, T. (2022). Spatio-temporal stratified associations between urban human activities and crime patterns: a case study in San Francisco around the COVID-19 stay-at-home mandate. Computational Urban Science, 2(1), Article 13. https://doi.org/10.1007/s43762-022-00041-2

Crime changes have been reported as a result of human routine activity shifting due to containment policies, such as stay-at-home (SAH) mandates during the COVID-19 pandemic. However, the way in which the manifestation of crime in both space and time... Read More about Spatio-temporal stratified associations between urban human activities and crime patterns: a case study in San Francisco around the COVID-19 stay-at-home mandate.

Exploring the homogeneity of theft offenders in spatio-temporal crime hotspots (2020)
Journal Article
Chen, T., Bowers, K., Cheng, T., Zhang, Y., & Chen, P. (2020). Exploring the homogeneity of theft offenders in spatio-temporal crime hotspots. Crime Science, 9(1), Article 9. https://doi.org/10.1186/s40163-020-00115-8

Offender homogeneity occurs when the same criminal group is composed of offenders with similar attributes (e.g., socio-economic-demographics). Exploring the homogeneity of offenders within spatio-temporal crime hotspots (STCHs) is useful for understa... Read More about Exploring the homogeneity of theft offenders in spatio-temporal crime hotspots.