Dr Tongxin Chen

Dr Tongxin Chen

Lecturer

Faculty and Department

  • Faculty of Science and Engineering
  • Data Science AI and Modelling Centre (DAIM)

Qualifications

  • PhD / DPhil (University College London)

Summary

Dr Tongxin Chen is a lecturer at the Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM), Faculty of Science and Engineering, University of Hull.

Spatio-temporal Big Data Analytics

Big Data and Data Mining

MSc Research Project

Recent outputs

View more outputs

Journal Article

The impacts of specific place visitations on theft patterns: a case study in Greater London, UK

Chen, T., Bowers, K., & Cheng, T. (in press). The impacts of specific place visitations on theft patterns: a case study in Greater London, UK. Computational Urban Science, 5(1), Article 30. https://doi.org/10.1007/s43762-025-00191-z

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

Presentation / Conference Contribution

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

Research interests

Spatial temporal big data analytics, urban mobility, crime science, and applied machine learning.

Co-investigator

Project

Funder

Grant

Started

Status

Project

Understanding Community Insights into the Impact of GRIP hotspot policing

Funder

Home Office

Grant

£304,928.80

Started

1 January 2024

Status

Ongoing

Postgraduate supervision

I am accepting research students for both Master of research and PhD in urban big data analytics and spatio-temporal crime analysis.

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