Jue Wang

My Research Interests

Wang’s research interests include health geography, environmental health, human mobility, GIScience, big data, and spatial analysis. His recent research has included exploration of methodological issues in environmental health studies (e.g., uncertain geographic context problem and spatial non-stationarity), development of a unified analytical framework for environmental context profiling and individual exposure assessment, and examination of adult participation in high-risk drug use and of environmental influences on physical activity. He has also helped advance the state of spatial analysis and optimization literature through his work on hexagon-based adaptive crystal-growth Voronoi diagrams based on weighted planes for service area delimitation.

I participate in the following research clusters:

Geospatial Systems & Geomatics
Urbanization, Transportation & Health

Graduate Student Recruitment

I am recruiting MSc and Ph.D. students with interests in space-time analysis of human mobility, as well as modelling environmental exposure and its effects on public health. The ideal candidate should have a strong background in GIS and spatial analysis (better with experience in Python programming). Qualified students are welcome to inquire and apply.

Students will implement research in my lab at the University of Toronto Mississauga Campus. More information about our research can be found on my website: http://juewang.space

Selected Publications

Wang, J., Kou, L., Kwan, M., Shakespeare, R. M., Lee, K., & Park, Y. M. (2021). An Integrated Individual Environmental Exposure Assessment Health Studies. Sensors, 21(12), 4039.

Wang, J., & Kwan, M. -P. (2020). Daily activity locations k-anonymity for the evaluation of disclosure risk of individual GPS datasets. International Journal of Health Geographics, 19(1), 1–14.

Kwan, M.-P., Wang, J., Tyburski, M., Epstein, D. H., Kowalczyk, W. J., & Preston, K. L. (2019). Uncertainties in the geographic context of health behaviors: A study of substance users’ exposure to psychosocial stress using GPS data. International Journal of Geographical Information Science, 33(6), 1176–1195.

Wang, J., & Kwan, M.-P. (2018). An Analytical Framework for Integrating the Spatiotemporal Dynamics of Environmental Context and Individual Mobility in Exposure Assessment: A Study on the Relationship between Food Environment Exposures and Body Weight. International Journal of Environmental Research and Public Health, 15(9), 2022.

Wang, J., Kwan, M. -P., & Chai, Y. (2018). “An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago.” International Journal of Environmental Research and Public Health 15 (4): 703–726.