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Welcome to Repository@Hull

The Repository@Hull is intended to be an Open Access showcase for the published research output of the university. Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided.



Latest Additions

Beyond threats: Extreme heatwaves and economic resilience in China (2024)
Journal Article
Wang, X., Guo, H., Li, Y., & Huang, S. (online). Beyond threats: Extreme heatwaves and economic resilience in China. Finance research letters, Article 106427. https://doi.org/10.1016/j.frl.2024.106427

This study demonstrates extreme heatwaves have a positive impact on economic resilience in China at the provincial level, utilizing high spatial resolution temperature data. This effect may be attributed to heightened climate policy uncertainty and s... Read More about Beyond threats: Extreme heatwaves and economic resilience in China.

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.

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.

Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK (2022)
Journal Article
Cheng, T., Chen, T., Liu, Y., Aldridge, R. W., Nguyen, V., Hayward, A. C., & Michie, S. (2022). Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK. Frontiers in public health, 10, Article 999521. https://doi.org/10.3389/fpubh.2022.999521

Objective: Since the outbreak of COVID-19, public health and social measures to contain its transmission (e.g., social distancing and lockdowns) have dramatically changed people's lives in rural and urban areas globally. To facilitate future manageme... Read More about Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK.

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic (2023)
Journal Article
Chen, T., Zhu, D., Cheng, T., Gao, X., & Chen, H. (2023). Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic. PLoS ONE, 18(1 January), Article e0277913. https://doi.org/10.1371/journal.pone.0277913

Exploration of dynamic human activity gives significant insights into understanding the urban environment and can help to reinforce scientific urban management strategies. Lots of studies are arising regarding the significant human activity changes i... Read More about Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic.