Jue Wang

Assistant Professor
William Davis Building, Room 3259, 3359 Mississauga Road N. Mississauga
(905) 569-5770

Campus

Fields of Study

Areas of Interest

GIScience, spatial analysis, and big data; Health geography and environmental health; Urban noise environment analysis; Time geography and human mobility.

Biography

Dr. Wang’s research interests include health geography, environmental health, human mobility, GIScience, big data, and spatial analysis. His research projects have included exploration of methodological issues in environmental health studies, development of analytical methods for urban environment analysis (e.g., noise pollution) and individual exposure assessment, examination of environmental influences on health behaviors/outcomes, and investigation of the geoprivacy issues.

Publications 

Wang, J., Kim, G., & Chang, K. C. C. (2023). Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning. International Journal of Health Geographics, 22(1), 1-16. DOI: doi.org/10.1186/s12942-023-00344-5

Zhou, H., Liu, L., Wang, J., Wilson, K., Lan, M., & Gu, X. (2023) "A Multiscale Assessment of the Impact of Perceived Safety from Street View Imagery on Street Crime". Annals of the American Association of Geographers. DOI: doi.org/10.1080/24694452.2023.2249975

Wang, J., Zhang, X., Chai, Y., & Kwan, M. P. (2023). A Context-based Approach for Neighbourhood Life Circle Delineation and Internal Spatial Utilization Analysis Based on GIS and GPS Tracking Data. Applied Spatial Analysis and Policy, 1-23. DOI: doi.org/10.1007/s12061-023-09527-w

Wang, J., Kim, J., & Kwan, M. P. (2022). An exploratory assessment of the effectiveness of geomasking methods on privacy protection and analytical accuracy for individual-level geospatial data. Cartography and Geographic Information Science, 49(5), 385-406.

Zhou, H., Wang, J., & Wilson, K. (2022). Impacts of perceived safety and beauty of park environments on time spent in parks: Examining the potential of street view imagery and phone-based GPS data. International Journal of Applied Earth Observation and Geoinformation, 115, 103078.

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.

 

Education

PhD, University of Illinois at Urbana-Champaign