Symposium on Human Dynamics Research: Human mobility in Big Data Era I
Type: Virtual Paper
Day: 2/27/2022
Start Time: 3:40 PM
End Time: 5:00 PM
Theme:
Sponsor Group(s):
Cyberinfrastructure Specialty Group
, Geographic Information Science and Systems Specialty Group
, Transportation Geography Specialty Group
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Organizer(s):
Yuqin Jiang
, Zhenlong Li
, Xiao Huang
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Chairs(s):
Yuqin Jiang, University of South Carolina
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Description:
“Human mobility” is a commonly used but loosely defined term which represents the concept about people’s spatiotemporal occupation and involves interaction among human, society, and surrounding physical environment. Better understanding human mobility is essential for understanding human interactions with surrounding environment and the use of geographic space, which can benefit transportation and urban planning, political decision making, epidemiology, economic development, emergency management, and many other fields. Human activities have been producing massive amount of geospatial data. Recent technology advancements further pushed the volume, variety, and velocity of human mobility to an unprecedented level. How to efficiently process, analyze, and make sense of the massive human movement data remains challenging, especially within dynamic spatial and temporal context. This session aims to capture the latest efforts in analyzing human movement data and revealing human movement patterns that contributes to a better understanding of human activities and their surrounding environment under various circumstances and within different domains, such as transportation, social networks, public health, urban analysis, and emergency management.
Potential topics include, but not limited to, the following:
• Human mobility data capturing, storing, processing and analyzing
• Methodological improvements in human movement data mining, pattern analysis, and visualization
• Understanding changes in human mobility patterns under the COVID-19 pandemic
• Quantifying human mobility pattern changes
• Modeling human mobility during different events, for instance, hurricane evacuation
• Interdisciplinary applications with spatiotemporal human mobility data
Presentation(s), if applicable
Hung-Chi Liu, ; Associations of built environments with spatiotemporal patterns of shared moped use: A comparison with shared bike use |
Shih-Lung Shaw, University of Tennessee; Extending Time-Geographic Concepts in a Hybrid Physical-Virtual World |
Yung-Ming Tsai, University of Tennessee; A Use Case of Implementing A Space-Place GIScience Framework |
Peiqi Zhang, University of Maryland - College Park; Travel speed estimation using big trajectory data through an Apache Spark and Sedona based computational framework |
Non-Presenting Participants Agenda
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Symposium on Human Dynamics Research: Human mobility in Big Data Era I
Description
Virtual Paper
Contact the Primary Organizer
Yuqin Jiang - yuqinjiang@txstate.edu