GeoAI and Deep Learning Symposium: Emerging Geo-Data Applications in Human Mobility Analysis
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/23/2023
Time: 2:40 PM - 4:00 PM
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Type: Paper,
Theme:
Curated Track: AAG's GeoEthics Initiative and Related Effort
Sponsor Group(s):
Transportation Geography Specialty Group
Organizer(s):
Xiao Li University of Oxford
Xiao Huang University of Arkansas
Haowen Xu Oak Ridge National Laboratory
Yuhao Kang University of Wisconsin-Madison
Chair(s):
Xiao Li University of Oxford
Description:
This session aims to promote the discussion of the opportunities, challenges, and visions of utilizing emerging geo-data to foster the understanding of human mobility in transportation and social domains.
Presentations (if applicable) and Session Agenda:
Jeong Seong, University of West Georgia |
Development of a Traffic Congestion Index from Spatiotemporal Big Data for Urban Transportation Research and Applications |
Yunsik Kim, University of North Carolina at Charlotte |
Modeling the Probabilities of Vehicle Crashes Using Machine Learning Methods with Congestion Amounts and Spatiotemporal Features at Montgomery County, Maryland |
Louise Sieg |
A new methodology for the regionalisation and aggregation of in-app location data. |
Scarlett Jin, The Chinese University of Hong Kong |
Bikesharing and equity: A nationwide study of bikesharing accessibility in the U.S. |
Xiaoqi Bao |
Black Businesses Matter: A Longitudinal Study of Black-Owned Restaurants in the COVID-19 Pandemic Using Geospatial Big Data |
Non-Presenting Participants
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GeoAI and Deep Learning Symposium: Emerging Geo-Data Applications in Human Mobility Analysis
Description
Type: Paper,
Date: 3/23/2023
Time: 2:40 PM - 4:00 PM
Room: Capitol Ballroom 3, Hyatt Regency, Fourth Floor
Contact the Primary Organizer
Xiao Li University of Oxford
xiao.li@ouce.ox.ac.uk
Session Sponsored By
