“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. Human activities currently are generating massive amount of geospatial data. Recent technology advancements further pushed volume, variety, and velocity of big human mobility to an unprecedented level. Better understanding human mobility is essential to understand human interactions with surrounding environment and the usage of geographic space. It can benefit transportation and urban planning, political decision making, economic development, emergency management, and many other fields.
However, how to efficiently and effectively process and analyze massive human movement data remains challenging given current data generating speed, 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 better understanding about human activities and surrounding environment under difference circumstances and within different domains, such as transportation, social network, public health, urban analysis, and emergency management.
|Presenter||Hui Kong*, Massachusetts Institute of Technology, Xiaohu Zhang, Massachusetts Institute of Technology, Jinhua Zhao, Massachusetts Institute of Technology, Vehicle Occupancy Rate of DiDi and Taxi in Chengdu, China||15||4:00 PM|
|Presenter||Dan Cheng*, George Mason University, Dieter Pfoser, George Mason University, Understanding Urban Mobility Patterns through Social Media Data - A Washington DC Area Case Study||15||4:15 PM|
|Presenter||Jiaxin Du*, New Jersey Institute Of Technology, Xinyue Ye, Associate Professor, Interactive Visual Analytics for Sparse Trajectory Data||15||4:30 PM|
|Presenter||Yuqin Jiang*, University of South Carolina, Zhenlong Li, University of South Carolina, Understanding Human Mobility Pattern During Evacuation with Social Media||15||4:45 PM|
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