Dr Tongxin Chen

Applying Dynamic Human Activity to Disentangle Property Crime Patterns in London during the Pandemic: An Empirical Analysis Using Geo-Tagged Big Data

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

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic

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

Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK

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

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

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

Revealing the relationship between human mobility and urban deprivation using geo-big data: a case study from London in the post-pandemic era Creators

Chen, T. (2023, April). Revealing the relationship between human mobility and urban deprivation using geo-big data: a case study from London in the post-pandemic era Creators. Presented at 31st Geographical Information Science Research UK (GISRUK), Glasgow, UK