AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Harnessing Mobility Data for Spatial Knowledge Discovery
Type: Virtual Paper
Day: 3/1/2022
Start Time: 5:20 PM
End Time: 6:40 PM
Theme:
Sponsor Group(s):
Transportation Geography Specialty Group
, Spatial Analysis and Modeling Specialty Group
, Geographic Information Science and Systems Specialty Group
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Organizer(s):
Xiang Chen
, Xiao Huang
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Chairs(s):
Xiao Huang, University of Arkansas
; Xiang Chen, University of Connecticut
Description:
In the big data era, emerging mobility data sources (e.g., GPS tracks, cell phone data, and Wi-Fi probe data) provide new opportunities for spatial knowledge discovery. These new mobility datasets have been widely adopted to understand large-scale human movement patterns and trends, which are further employed to answer scientific questions that were impossible to be answered by traditional data sources and instruments. Especially during the COVID-19 pandemic, these new mobility datasets have been harnessed to identify human interaction as an important parameter for predictive case simulation and modeling.
Further aided by the development in computational science and cyberinfrastructure, new mobility data as a typical big data source are making a paradigm shift towards new ways of scientific inquiries. However, leveraging the new mobility data is not without limitations, such as the sample selection bias, the algorithmic uncertainty, and the invasion of privacy.
The session welcomes a broad scope of research utilizing emerging mobility data for spatial knowledge discovery and critiques. The topics can be either applied research or theoretical reflections. Related data and topics include but are not limited to:
· Publically available data about large-scale movements (e.g., air traffic)
· Location-based transit data (e.g., bike-sharing, ride-hailing) or GPS data
· Wi-Fi probe data or cellular phone data
· Mobility index data or visitation data (e.g., Google, Baidu, Safegraph)
· Location-based social media data
· Visualization of mobility data
· Applications of mobility data for public health and epidemiology (e.g., COVID-19)
· Applications of mobility data for urban studies
· Applications of mobility data for wildlife management
· Applications of mobility data for social inequality and exclusion
· New algorithms and tools for synthesizing and analyzing mobility data
· Critical reflections on using mobility data
Presentation(s), if applicable
Peter Nelson, Middlebury College; The COVID-19 Pandemic – connections to and impacts on rural migration and mobility |
Yunhe Cui, University of Connecticut; Competition, integration, or complementation? Exploring dock-based bike-sharing in New York City |
Peter Lenz, ; A Spotters Guide to Errors and Fraud in Human Movement Data |
Non-Presenting Participants Agenda
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AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Harnessing Mobility Data for Spatial Knowledge Discovery
Description
Virtual Paper
Contact the Primary Organizer
Rebecca Vandewalle - rcvandewalle@gmail.com
Session Sponsored By
