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Department of Geography, Geomatics and Environment
University of Toronto – Mississauga
William G. Davis Building, Room 3259
3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, Canada
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Jue Wang is a health geographer and spatial analyst. He is currently an Assistant Professor in the Department of Geography and Planning at the University of Toronto and the Department of Geography, Geomatics and Environment at the University of Toronto Mississauga.

Wang’s research interests include health geography, environmental health, human mobility, GIScience, big data, and spatial analysis. He has made important contributions to these areas. 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 an 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.

For more information, please refer to https://www.geography.utoronto.ca/people/directories/all-faculty/jue-wang
Curriculum Vitae
Doctor of Philosophy
Geography and Geographic Information Science
University of Illinois at Urbana-Champaign, IL, USA
Master of Philosophy
Geographic Information Science and Cartography
Hong Kong Polytechnic University, Hong Kong
Bachelor of Science
Geographic Information Science
Sun Yat-sen University, Guangzhou, China
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). Hexagon-based adaptive crystal growth Voronoi diagrams based on weighted planes for service area delimitation. ISPRS International Journal of Geo-Information, 7(7), 257.
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.
Wang, J., Lee, K., & Kwan, M. P. (2018). Environmental influences on leisure-time physical inactivity in the US: An exploration of spatial non-stationarity. ISPRS International Journal of Geo-Information, 7(4), 143.

Li, M., Wang, H.*, Wang, J., Zhou, H., Li, D. (2024). Gated or ungated? A case study on walkability measurement for urban communities. Applied Spatial Analysis and Policy, 1-25.[LINK]

Zhou, H., Wang, J.*, Widener M., Wilson, K. (2024). Examining the Relationship Between Active Transport and Exposure to Streetscape Diversity during Travel: A Study Using GPS Data and Street View Imagery. Computers, Environment and Urban Systems, 110, 102105.[LINK]

Ge, H., Wang, J.*, (2023). Unveiling the Relationship Between Active Transportation through Walking and Metabolic Syndrome: A Study in Hyogo and Osaka, Japan. Proceedings of the 27th HKSTS International Conference.[LINK]

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), 22[LINK]

Zhou, H., Liu, L., Wang, J., Wilson, K., Lan, M., & Gu, X. (2024). A Multiscale Assessment of the Impact of Perceived Safety from Street View Imagery on Street Crime. Annals of the American Association of Geographers, 114(1), 69-90.[LINK]

 Lee, K., Wang, J., & Heo J. (2023). How the physical inactivity is affected by social-, economic- and physical-environmental factors: an exploratory study using the machine learning approach. International Journal of Digital Earth, 16(1), 2503-2521.[LINK]

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.[LINK]

 Ge, H.*, & Wang, J. (2023). Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto. Sustainability, 15(3), 1762.[LINK]

 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.[LINK]

Zhou, H.*, Kim, G.*, Wang, J., & Wilson, K. (2022). Investigating the association between the socioeconomic environment of the service area and fast food visitation: A context-based crystal growth approach. Health & Place, 76, 102855. [LINK]

 Zhou, Q., Liao, Y., & Wang, J. (2022). Mapping global urban greenspace: An analysis based on open land-cover data. Urban Forestry & Urban Greening, 74, 127638.[LINK]

 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. [LINK]

Higgins, C. D., Páez, A., Kim, G.*, & Wang, J. (2021). Changes in accessibility to emergency and community food services during COVID-19 and implications for low income populations in Hamilton, Ontario. Social Science & Medicine, 291, 114442.[LINK]

Wang, J., Kou, L., Kwan, M. P., Shakespeare, R. M., Lee, K., & Park, Y. M. (2021). An integrated individual environmental exposure assessment system for real-time mobile sensing in environmental health studies. Sensors, 21(12), 4039. https://doi.org/10.3390/s21124039[LINK]

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.[LINK]

Zhang, X., Wang, J., Kwan, M. P., & Chai, Y. (2019). Reside nearby, behave apart? Activity-space-based segregation among residents of various types of housing in Beijing, China. Cities, 88, 166-180.[LINK]

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.[LINK]

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.[LINK]

Wang, J., & Kwan, M. P. (2018). Hexagon-based adaptive crystal growth Voronoi diagrams based on weighted planes for service area delimitation. ISPRS International Journal of Geo-Information, 7(7), 257.[LINK]

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.[LINK]

Wang, J., Lee, K., & Kwan, M. P. (2018). Environmental influences on leisure-time physical inactivity in the US: An exploration of spatial non-stationarity. ISPRS International Journal of Geo-Information, 7(4), 143.[LINK]

Wang, J., Kwan, M. P., & Ma, L. (2014). Delimiting service area using adaptive crystal-growth Voronoi diagrams based on weighted planes: A case study in Haizhu District of Guangzhou in China. Applied Geography, 50, 108-119.[LINK]

Research Interest
Research Experience
Assistant Professor
  Dept. of Geography and Planning, University of Toronto
  Dept. of Geography, Geomatics and Environment, University of Toronto Mississauga

07/2019 – Now
Research Assistant (Creating a robust and reliable resource for accessing, sharing, and analyzing confidential geospatial research data: Overcoming obstacles to replicating NSF research)
  Dept. of GGIS, University of Illinois at Urbana–Champaign
      ●  Evaluating and implementing masking and encryption capabilities for the GVDE.
      ●  Responsible for experiment design, data collection, data processing and analysis, and writing of papers for publication.
09/2018 – 05/2019
Research Assistant (International Joint Research Project on Exposure to Environmental Stressors, Neighborhood Quality, and Individual Health; supported by a grant from the National Natural Science Foundation of China)
  Space–Time Analysis and Research Lab, University of Illinois at Urbana–Champaign
      ● Participated in project design and preparation as well as in data collection for high spatiotemporal resolution, individual-based GPS tracking and environmental context datasets.
      ● As coordinator of the international collaboration project, supervised and organized data collection in Chicago.
05/2017–12/2017
Research Assistant (The Influence of Real-time Context and Mood on Urban Drug Use Behavior; supported by the Intramural Research Program [IRP] of the National Institute on Drug Abuse [NIDA], NIH, and the University of Illinois Research Board)
  Dept. of GGIS, University of Illinois at Urbana–Champaign
      ● Investigated associations between participants’ real-time environmental psychosocial stress exposure and their substance use behavior.
      ● Responsible for data processing and analysis, interpretation of results, and the writing of portions of manuscript that came out of this project.
08/2015–12/2016
Research Assistant (Addressing Challenges for Geospatial Data—Intensive Research Communities: Research on Unique Confidentiality Risks & Geospatial Data Sharing within a Virtual Data Enclave)
  Dept. of GGIS, University of Illinois at Urbana–Champaign
      ●Implemented experiments and geospatial data analysis tests on the virtual data enclave (VDE).
08/2014–07/2015
Research Associate (Delimiting Service Area Using Adaptive Crystal-Growth Voronoi Diagrams Based on Weighted Planes)
  Dept. of LSGI, Hong Kong Polytechnic University
      ● Responsible for experiment design, data collection, data processing and analysis, and writing of papers for publication.
02/2013–06/2014
Research Assistant (Effectiveness of Visual, Screen and Dynamic Variables in Animated Mapping)
  Dept. of LSGI, Hong Kong Polytechnic University
      ● Responsible for experiment design, data collection, data processing, result analysis, and writing of reports.
01/2010–06/2012

Presentation

Wang, Jue. “Spatiotemporally profiling environmental context and assessing exposures in environmental health studies.” Geography& GIScience Colloquium, University of Illinois at Urbana-Champaign Apr. 19, 2018


Wang, Jue, Mei-po Kwan. “An innovative context-based crystal-growth activity space method for environmental exposure assessment based on GPS tracking and GIS.” American Association of Geographers Annual Meeting, New Orleans, USA, April 10–14, 2018.


Wang, Jue, Mei-po Kwan. “Assessing Individual Environmental Exposure with the Environmental Context Cube: A Study on the Environmental Influences on Obesity.” American Association of Geographers Annual Meeting, Boston, USA, April 5–8, 2017.


Wang, Jue, Mei-po Kwan. “Analysis of the correlation between contextual environmental exposure and public health based on space-time movement data by using contextual environment cube and artificial neural network.” American Association of Geographers Annual Meeting, Chicago, USA, April 21–25, 2015.


Wang, Jue, Zhilin Li. “Effectiveness of Visual, Screen and Dynamic Variables in Animated Mapping.” 25th International Cartographic Conference and the 15th General Assembly of the International Cartographic Association, Paris, France, July 3–8, 2011.


Invited Talk

Wang, Jue. "Addressing the Uncertain Geographic Context Problem by Accurately Delineating Environmental Context in Space-time and Assessing Individual Exposure with GIS and GPS". Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hong Kong, Feb 30, 2021

Wang, Jue. “An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago”. College of Urban and Environmental Sciences, Peking University, China, Jun 16, 2018


Wang, Jue. “Community life circle delineation and analysis based on walkability context and residents’ daily activity.” The 12th Planning Information Practice Forum, Shanghai, China, Jun 14–15, 2018


© 2020 Jue Wang. All Rights Reserved.

Email: gis.wang@utoronto.ca