AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: Harnessing Geospatial Big Data for Urban Studies
Type: Paper
Recording Plan:
Theme: Making Spaces of Possibility
Curated Track:
Sponsor Group(s):
Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Fangzheng Lyu Virginia Tech
Chair(s):
Fangzheng Lyu, Virginia Tech
,
Call For Participation
Through this session, we aim to invite scholars working at the intersection of urban studies, GIS, and data science to address key questions about how geospatial big data can advance our understanding of urban systems and support urban planning & management.
Description:
The proliferation of geospatial big data has transformed our ability to understand urban problems. Cities today create massive amounts of location-based data through mobile devices, sensors, social media, transportation systems, etc. These urban big data offer opportunities to approach urban problems at different scales. However, harnessing geospatial big data for urban studies presents challenges in data integration, processing, and analysis. Traditional urban research methods must be adapted to handle the volume, velocity, and variety of urban big data. This session explores cutting-edge approaches to leverage geospatial big data for urban research, including but not limited to real-time urban sensing, human mobility analysis, urban changes & retrofitting, and urban service accessibility. We aim to bridge the gap between data science techniques and urban theory & problems, examining both methodological innovations and their practical applications in understanding the urban area.
Presentations (if applicable) and Session Agenda:
Seung Bae Jeon, Chosun University |
Enhancement of Building Change Detection based on ChangeFormer through Integration of Deformable Attention Transformer |
JINGXUE XIE |
Exploring the Impact of Street Environment Factors on Pedestrian Thermal Comfort in Tokyo’s Transit-Oriented Zones |
Henry Bulley, BMCC, City University of New York, USA |
Coupling GeoAI with Big Data Analytics to Enhance Urban Flood Resilience |
Jason Yoo, Kent State University |
Generating Artificial WIPs Using Machine Learning Methods to Explore Management Responses to Land Use Scenarios |
Fangzheng Lyu, Virginia Tech |
Quantifying Urban Retrofitting with Large-scale Street-view Data |
Non-Presenting Participants
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AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: Harnessing Geospatial Big Data for Urban Studies
Description
Type: Paper
Contact the Primary Organizer
Fangzheng Lyu Virginia Tech
fangzheng@vt.edu
Session sponsored by: