Link to Session Platform

Chairs(s):

Hanlin Zhou, Unversity of Toronto; Unversity of Toronto Mississauga

; Jue Wang, Unversity of Toronto Mississauga

Description:

Due to the twin developments of advances in geospatial technologies (e.g., GPS and environmental sensing) as well as the high-quality data of individual health outcomes, human mobility research has been offered unprecedented opportunities. The advanced and innovative sensors collecting ambient environmental contexts and the individual trajectory data are conducive to understanding environmental effects for individual daily life outcomes. Human mobility research has been tackled in several robust sub-disciplines of geography studies, including public health, environmental health, transportation, urban planning, crime, and GIScience.
While such technologies and data make the investigations of human mobility less daunting, several challenges still exist. There are still concerns associated with the integration of various sensor data and trajectory data for identifying human activity patterns, the step backward in terms of assessment of causal environment effects via using trajectory data to study environmental exposures, and the role of individual trajectory data in the causal chain of changes in individual behaviors to changes in individual general health to changes in a particular health outcome. Additionally, there is a growing recognition that the modifiable temporal unit problem and the uncertain geographic context problem should be mitigated when delineating spatiotemporal environmental contexts related to individual mobility.
We are glad to invite papers on applications and innovations that explore human mobility and health-related environmental contexts in this session. Viewpoints and ideas specifying challenges that should be given attention in human mobility research are also welcomed. Relevant topics include but are not limited to:
• Applications linking environmental contexts to human mobility
• Applications integrating sensor data (e.g., noise/air pollution) and trajectory data to study individual mobility/health outcomes
• Methods identifying individual movement patterns (e.g., travel modes and indoor/outdoor positioning)
• Geoprivacy protection when collecting individual mobility data
• Innovations of the conceptual framework and/or methodological issues in human mobility research
• Uncertainty issues on environmental contexts related to individual mobility
If you are interested in joining the sessions, please submit your abstract at the AAG webpage (https://aag-annualmeeting.secure-platform.com/a/organizations/main/home) and send the confirmation with your PIN to Mr. Hanlin Zhou (geohanlin.zhou@mail.utoronto.ca) and Dr. Jue Wang (gis.wang@utoronto.ca). Please do not hesitate to contact us if you have any questions regarding our session.

Non-Presenting Participants Agenda