All Outputs (2)

Applying Dynamic Human Activity to Disentangle Property Crime Patterns in London during the Pandemic: An Empirical Analysis Using Geo-Tagged Big Data (2023)
Journal Article
Chen, T., Bowers, K., & Cheng, T. (2023). Applying Dynamic Human Activity to Disentangle Property Crime Patterns in London during the Pandemic: An Empirical Analysis Using Geo-Tagged Big Data. ISPRS International Journal of Geo-Information, 12(12), Article 488. https://doi.org/10.3390/ijgi12120488

This study aimed to evaluate the relationships between different groups of explanatory variables (i.e., dynamic human activity variables, static variables of social disorganisation and crime generators, and combinations of both sets of variables) and... Read More about Applying Dynamic Human Activity to Disentangle Property Crime Patterns in London during the Pandemic: An Empirical Analysis Using Geo-Tagged Big Data.

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.