AAG 2024 Symposium on Geospatial Data Science for Sustainability: Harnessing Mobility Data for Spatial Knowledge Discovery
The session recording will be archived on the site until July 20th, 2025
This session was streamed but not recorded
Type: Paper,
Theme:
Curated Track:
Sponsor Group(s):
Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Jinwoo Park University of North Dakota
Jeon-Young Kang Kyung Hee University, South Korea
Alexander Michels University of Illinois Urbana-Champaign
Fangzheng Lyu University of Illinois Urbana-Champaign
Zhaonan Wang University of Illinois Urbana-Champaign
Chair(s):
Jinwoo Park University of North Dakota
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.
Presentations (if applicable) and Session Agenda:
Kenan Li |
Assessing Socio-Economic Impacts on Evacuation Compliance During Hurricane Ian Through Mobility Data Analysis |
Yaxiong Shao, Northern Illinois University |
Bridging the Gap: Unraveling Disparities between Potential and Revealed Spatial Accessibility to Healthcare Services Using Geospatial Big Data |
Alexander Michels, UIUC |
Putting the Area in Catchment Areas: An Areal Approach to Spatial Accessibility Analysis |
Harvey Miller, The Ohio State University |
Inclusive sidewalk planning with perceived constraints: A multi-objective optimization approach |
Yuqin Jiang |
An entropy-based measurement for understanding origin-destination trip distributions: a case study of New York City taxis |
Non-Presenting Participants
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AAG 2024 Symposium on Geospatial Data Science for Sustainability: Harnessing Mobility Data for Spatial Knowledge Discovery
Description
Type: Paper,
Contact the Primary Organizer
Jinwoo Park University of North Dakota
jinwoo.park@und.edu