Recording Plan: 

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Call For Participation
This is an in-person session. If you are interested in submitting a paper, please send a copy of your abstract and AAG Abstract PIN to Jed Long (jed.long@uwo.ca) and Hailyee Ha (hha24@uwo.ca). Please note that the deadline for abstract submission to the AAG Abstract Submission portal (https://aag.secure-platform.com/aag2025) is October 31, 2024.

Description:

As global warming accelerates, climate-related natural hazards such as wildfires, floods, hurricanes, heatwaves, and extreme rainfalls are becoming more frequent and intense, creating unprecedented risks for human populations. These extreme events lead to significant economic losses, human fatalities, infrastructure damages, service disruptions, and impact daily life. Therefore, understanding how people respond to these risks is essential. Human mobility studies are increasingly paying attention to the relationship between natural hazards and human mobility patterns, as these patterns can reveal how populations evacuate, seek shelter, and access essential resources. In response to these growing attentions, please join us in the session to present recent advances in human mobility research that explore the effects of natural hazards on human movement. This session will highlight innovative analytical and empirical approaches aimed at enhancing our understanding of human responses to climate-related natural hazards, contributing to more resilient urban planning and disaster management strategies.
The topics of the session include but are not limited to:
• Spatio-temporal analysis of human mobility pattern during natural hazards.
• High-resolution evacuation and recovery patterns.
• Differential impacts of natural hazards on human mobility patterns at a community level.
• Mobility equity during natural hazards.
• The role of novel mobility data in disaster management planning.
• Methodological and visual advances in human mobility analysis for understanding natural hazards impacts.
• Data-driven planning solutions to enhance neighborhood resilience after natural hazards.
• Data fusion approaches (e.g., transit data, mobility data, environmental data) for travel demand management and prediction during natural hazards.

Non-Presenting Participants