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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 geospatial data scientist. 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 encompass investigating the impacts of the urban environment on human behaviour and public well-being, along with the domains of human mobility, GIS, geospatial big data, and spatiotemporal analysis. His recent research addresses methodological and uncertainty issues in environmental health, develops urban built environment analysis methods using machine learning and geospatial big data, and examines the impacts of the urban built environment on public health and well-being. Wang has led several major Canadian national research projects on GeoAI and sustainable urban environments and has significantly influenced the fields of health geography and Geographic Information Science. 

For more information, please refer to https://www.geography.utoronto.ca/people/directories/all-faculty/jue-wang
Doctor of Philosophy
Geography and Geographic Information Science
University of Illinois at Urbana-Champaign, IL, USA

 Yang, R.^, Zhen, F., Wang, J. (Accepted) Formation Characteristics and Decentralization Analysis of Post-Urban Agglomerations from the Perspective of Spatial Reshaping. Scientific Reports[LINK]

Zhou, H.^, Wang, J.*, Wilson, K., Wu, D. Y.^, Ge, H.^ (Accepted) Associating the Visual Built Environment with Active Transport: An Analytical Approach Using Integrated Individual Behavior Data and Street Imagery. Annals of the American Association of Geographers. [LINK]

Yang, R.^*, Zhen, F., & Wang, J. (2025) Construction of a Space–Scene–Scenario (3S) Research Framework in Human Geography in the AI Era and Its Interdisciplinary Applications. Humanities and Social Sciences Communications, 12(1), 1-14.[LINK]

Xie, J.^, Liu, Z.^, & Wang, J.* (2025) Developing A Replicable ESG-Based Framework for Assessing Community Perception Using Street View Imagery and POI Data. ISPRS International Journal of Geo-Information, 14(9), 338.[LINK]

Wu, D. Y.^, & Wang, J.* (2025). Modeling spatial and temporal Urban Environmental Noise Using Street View Imagery and Machine Learning. Computers, Environment and Urban Systems, 121, 102327.[LINK]

Zhou, H.^, Wang, J. *, Wilson, K., Widener, M., Wu, D.Y.^, Xu, E.^ (2025). Using Street View Imagery and Localized Crowdsourcing Survey to Model Gender-Specific Crime-Related and Barrier-Related Perceived Safety of the Visual Built Environment. International Journal of Applied Earth Observation and Geoinformation. 139(May): 104421[LINK]

Wu, D. Y.^, & Wang, J.* (2024). Analyzing Urban Crime Through Street View Imagery: Insights from Urban Micro Built Environment and Perceptions. Urban Science, 8(4), 247.[LINK]

Wang, J.* (2024). Geomasking to Safeguard Geoprivacy in Geospatial Health Data. Encyclopedia. 4(4), 1581-1589.[LINK]

Ashrafa, K., Park, Y.M., Browning, M., Wang, J., Wang, R., Lee, K. * (2024). Examining the joint effect of air pollution and green space on stress levels in South Korea: Using machine learning techniques. International Journal of Digital Earth, 17(1), 2372321.[LINK]

Pan, C. Z., Wu, Y., Wang, S., Wang, J., Chapman, M. A., Zhang, L., & Li, S. L.* (2024). Pandemic fatigue? Insights from geotagged tweets on the spatiotemporal evolution of mental health in Canadian cities during COVID-19. Cities, 151, 105100.[LINK]

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, 17, 1017-1041.[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]

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]

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.[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, 16(4), 1493-1515.[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]

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]

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]

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., 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. [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.*, & 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]

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]

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]

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]

Dong, W.*, Ran, J., & Wang, J. (2012). Effectiveness and efficiency of map symbols for dynamic geographic information visualization. Cartography and Geographic Information Science, 39(2), 98-106.[LINK]

Research Interest
Professional Experience
Director of Geospatial Data Science Program
  Dept. of Geography, Geomatics and Environment, University of Toronto Mississauga
2025 - Current
Assistant Professor
  Dept. of Geography and Planning, University of Toronto
  Dept. of Geography, Geomatics and Environment, University of Toronto Mississauga

2019 - Current
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

Invited Talk

 “From Map Nerd to Data Scientist: A Journey Through Pixels, Places, and Public Health”. Urban Data Science Corps Professional Development Day, School of Cities, Toronto, July 18, 2025.

 “The Role of Geospatial Data Science in Urban Environment Analysis”. University College London, United Kingdom, July 1, 2025

 “The Role of Geospatial Data Science in Urban Environment Analysis”. Oxford University, United Kingdom, June 30, 2025 

 “Characterising Spatial Inequality of Obesity and The Underlying Obesogenic Environment”. Manchester University, United Kingdom, June 26, 2025

 “The Role of Geospatial Data Science in Sustainable Urban Environment”. Peking University, China, April 28, 2025

 “Health-Oriented Transformation of Smart Cities: Application of GeoAI in Sustainable Urban Development”. Nanjing Normal University, China, April 18, 2025.

 Symposium on Geospatial Approaches to Pressing Grand Challenges: Global Pandemics, Climate Change, and Food Security - Closing Plenary. American Association of Geographers Annual Meeting. Detroit, March 24-28, 2025.

 “GIS and Sustainable Urban Environment”. GIS Day, UTM Mapping Club, November 20, 2024.

 “Application of GIS in Healthy Urban Environment”. East China Normal University, China, July 26, 2024

 “Application of GIS in Healthy Urban Environment”. Sun Yat-sen University, China, July 8, 2024

 “GeoAI and Sustainable Urban Environment”. Hong Kong Polytechnic University, Hong Kong, June 26, 2024

 “GeoAI and Sustainable Urban Environment”. MScSM Research Day (Keynote Speaker). Mississauga, April 10, 2024

 “Impact of Neighborhood Environment on Diabetes Prevalence in Toronto”. The 1st International Geospatial Health Research Network Workshop. Hong Kong, Dec 6-8, 2023

 “Urban built environment and its impact on public wellbeing”. College of Urban and Environmental Sciences, Peking University, May 23, 2023.

 “Urban built environment and its impact on public wellbeing: Spatial big data analysis approaches” Institute of Space and Earth Information Science. Chinese University of Hong Kong, May 10, 2023.

 "The Way Forward: Considering access, ethics and practice of data in mobility policies". Mobility Network, Online, May 2, 2023.

 “Investigating the Impacts of Urban Living on Type 2 Diabetes”. Novo Nordisk Network's Catalyst Grant Pitch Event, Mississauga, Canada, November 21, 2022

 “Urban built environment and its impact on public wellbeing: A spatial big data analysis approach”. The 5th International Conference on Big Earth Data, China, November 12-13, 2022.

 “Urban built environment and its impact on public wellbeing: A spatial big data analysis approach”. 2022 International Forum on Big Data for Sustainable Development Goals, Beijing, China, September 6-8, 2022.

 “Why geoprivacy matters: An international perspective”. American Association of Geographers Annual Meeting Panel Session, Virtually, February 26, 2022. 

 “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, July 23, 2021.

"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

“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


“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


Presentation

 Wang, J., Wu, Y.^ Spatial Modeling of Urban Environmental Noise Using Geospatial Big Data and Geo-AI Techniques. American Association of Geographers Annual Meeting. Detroit, March 24-28, 2025.

 Wu, Y.^, Wang, J. Modeling Spatial and Temporal Urban Environmental Noise Using Street View Imagery and Machine Learning. American Association of Geographers Annual Meeting. Detroit, March 24-28, 2025.

 Zhou, H.^, Wang, J., Wilson, K. Investigating the association between the socioeconomic environment of the service area and fast food visitation: A context-based crystal growth approach. American Association of Geographers Annual Meeting. Detroit, March 24-28, 2025.

 Xie, J.^, Wang, J. Exploring the Impact of Street Environment Factors on Pedestrian Thermal Comfort in Tokyo’s Transit-Oriented Zones. American Association of Geographers Annual Meeting. Detroit, March 24-28, 2025.

 Ge, H.^, Wang, J. Assessing Environmental Beauty and Safety Perception Impacts on Type-2 Diabetes Across Toronto. American Association of Geographers Annual Meeting. Detroit, March 24-28, 2025.

 Deng, Y.^, Wang, J. Deciphering the Spatial Heterogeneity in Distance Decay of Rail Passenger Transportation: Empirical Evidence in Guangdong Province, China. Transportation Research Board (TRB) Annual Meeting. Washington, DC. Jan 5-9, 2025.

 Wang, J., Wu, Y.^ “Spatial Modeling of Urban Environmental Noise Using Geospatial Big Data and Geo-AI Techniques” 31st International Conference on Geoinformatics. Toronto. August 14-16, 2024.

 Deng, Y.^, Wang, J. “Exploring Distance-decay and Spatial Differentiation of Railway Trips: A Case Study in Guangdong, China” 31st International Conference on Geoinformatics. Toronto. August 14-16, 2024.

 Wang, J. “Variation of Urban Environmental Noise and Noise Exposure Inequity”. The 5th International Time-Geography Conference. Toyama. August 2-4, 2024.

 Ge, H.^, & Wang, J. "Assessing the Impact of Neighborhood Environment Perceptions on Diabetes Prevalence in Toronto: An Innovative Approach Using Street View Images". American Association of Geographers Annual Meeting. Honolulu, Hawaii. April 16-20, 2024.

 Zhou, H.^, & Wang, J. "Associating Dynamic Built Environmental Exposures and Active Transport". American Association of Geographers Annual Meeting. Honolulu, Hawaii. April 16-20, 2024.

 Uy, L.^, & Wang, J. "Spatial Analysis of Parking Ticket Violations in Mississauga, Ontario: Understanding Patterns and Predictive Factors". American Association of Geographers Annual Meeting. Honolulu, Hawaii. April 16-20, 2024. 

 Uy, L.^, & Wang, J. “California on Fire: Inequality in Human Mobility During California’s 2020 Wildfires”. UTM Graduate Seminar. Mississauga, Canada. Jan 17, 2024. 

 Ge, H.^, & Wang, J. “Unveiling the Relationship Between Active Transportation through Walking and Metabolic Syndrome: A Study in Hyogo and Osaka, Japan”. 27th HKSTS International Conference. Hong Kong, China. Dec 11-12, 2023.

 Zhou, H.^, Wang, J., & Wilson, K. “Associating Dynamic Built Environmental Exposures and Active Transport”. Three Minute Thesis Competition, Mississauga, Canada. Dec 6, 2023.

 Zhou, H.^ & Wang, J. “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”. The 3rd International Forum on Big Data for Sustainable Development Goals (FBAS2023). Beijing, China. Sep 6-8, 2023.

 Ge, H.^, & Wang, J. “Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto”. Statistical Society of Canada Annual Meeting. Ottawa, Canada. May 28-31, 2023.

 Zhou, H.^ & Wang, J. “Investigating the association between the socioeconomic environment of the service area and fast food visitation: A context-based crystal growth approach”. Canadian Association of Geographers Annual Meeting. Montreal, Canada. May 8-12, 2023.

 Ge, H.^, & Wang, J. “Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto”. Statistical Society of Canada Annual Meeting. Ottawa, Canada. May 28-31, 2023.

 Wang, J. “Evaluation of disclosure risk of individual GPS datasets: Daily activity locations k-anonymity”. GeoAI and Deep Learning Symposium: Geoprivacy and Ethics in Geospatial Data and GeoAI. American Association of Geographers Annual Meeting. (Virtually) Denver, USA, March 23-27, 2023.

 Zhou, H., ^ & Wang, J. “Examining the Linkage Between Active Transport and Dynamic Exposures to Streetscape Diversity”. HMGSG Peter Gould Student Paper Competition. American Association of Geographers Annual Meeting. (Virtually) Denver, USA, March 23-27, 2023.

 Wu, Y., ^ & Wang, J. “Micro-built environment and crime: An approach using street view images and machine learning methods”. GISS-SG Student Honors Paper Competition. American Association of Geographers Annual Meeting. Denver, USA, March 23-27, 2023.

 Ge, H., ^ & Wang, J. “Spatial Non-Stationarity Effects of Unhealthy Food Environments and Green Spaces for Type-2 Diabetes in Toronto”. GISS-SG Student Honors Paper Competition. American Association of Geographers Annual Meeting. Denver, USA, March 23-27, 2023.

 Wang, J. & Kwan, M.-P. “Daily activity locations k-anonymity for the evaluation of disclosure risk of individual GPS datasets..” American Association of Geographers Annual Meeting, Feb 25-Mar 1, 2022.

 Zhou, H.^, Wang, J. & Wilson, K. How Perceptions of Parks affect Times Spent in Parks? A study by Street View Imagery. Virtual Oral Presentation. AAG Annual Meeting. Feb 25-Mar 1, 2022. 

 Kim, G.^, & Wang, J. Portraying a dynamic food urban food environment before and during the COVID-19 pandemic using geo-tagged Yelp reviews in the City of Toronto. AAG Annual Meeting. Feb 25-Mar 1, 2022. 

 Wu, Y.^, Wang, J., & Leydon, J. Place Perception, Built Environment and Crime in Toronto. AAG Annual Meeting. Feb 25-Mar 1, 2022. 

 Zhou, H.^, Wang, J. & Wilson, K. How Perceptions of Parks affect Times Spent in Parks? A study by Street View Imagery. Virtual Oral Presentation. CAG Annual Meeting. June 7-11, 2021. 

 Wang, J. & Kwan, M.-P. “Daily activity locations k-anonymity for the evaluation of disclosure risk of individual GPS datasets..” American Association of Geographers Annual Meeting, Virtually, April 7–11, 2021.

 Zhou, H.^, Wang, J. & Wilson, K. How Perceptions of Parks affect Times Spent in Parks? A study by Street View Imagery. Virtual Oral Presentation. American Association of Geographers Annual Meeting. April 7-11, 2021.

 Zhou, H.^, Wang, J. & Wilson, K. How Perceptions of Parks affect Times Spent in Parks? A study by Street View Imagery. Virtual Oral Presentation. UTM Graduate Research Colloquium. April 28-29, 2021.

 Wang, J. “An Analytical Framework for Integrating the Spatiotemporal Dynamics of Environmental Context and Individual Mobility in Exposure Assessment.” American Association of Geographers Annual Meeting, Washington D.C., USA, April 3–7, 2019.

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


Wang, J. & Kwan, M.-P. “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, J. & Kwan, M.-P. “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, J. & Kwan, M.-P.  “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, J. & Li., Z. “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.


Current Team Member
Past Team Member

© Jue Wang. All Rights Reserved.

Email: gis.wang@utoronto.ca