Abstract
Modeling human mobility is a critical task in fields such as urban planning, ecology, and epidemiology. Given the current use of mobile phones, there is an abundance of data that can be used to create models of high reliability. Existing techniques can reveal the macro-patterns of crowd movement, or analyze the trajectory of an individual object; however, they focus on geographical characteristics. In this paper, we employ a novel data representation, the mobility transition graph, which is generated from a citywide human mobility dataset by defining the temporal trends of crowd mobility and the interleaved transitions between different mobility patterns. We describe the design, creation and manipulation of the mobility transition graph and demonstrate the efficiency of our approach by case study.
| Original language | English (US) |
|---|---|
| Title of host publication | SIGGRAPH Asia 2015 Visualization in High Performance Computing, SA 2015 |
| Publisher | Association for Computing Machinery, Inc |
| ISBN (Print) | 9781450339292 |
| DOIs | |
| State | Published - Nov 2 2015 |
| Event | SIGGRAPH Asia, SA 2015 - Kobe, Japan Duration: Nov 2 2015 → Nov 6 2015 |
Other
| Other | SIGGRAPH Asia, SA 2015 |
|---|---|
| Country | Japan |
| City | Kobe |
| Period | 11/2/15 → 11/6/15 |
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Keywords
- Mobility
- Spatio-temporal transition
- Storyline
- Timeline
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
Cite this
Visualizing the time-varying crowd mobility. / Wu, Feiran; Zhu, Minfeng; Zhao, Xin; Wang, Qi; Chen, Wei; Maciejewski, Ross.
SIGGRAPH Asia 2015 Visualization in High Performance Computing, SA 2015. Association for Computing Machinery, Inc, 2015. 15.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Visualizing the time-varying crowd mobility
AU - Wu, Feiran
AU - Zhu, Minfeng
AU - Zhao, Xin
AU - Wang, Qi
AU - Chen, Wei
AU - Maciejewski, Ross
PY - 2015/11/2
Y1 - 2015/11/2
N2 - Modeling human mobility is a critical task in fields such as urban planning, ecology, and epidemiology. Given the current use of mobile phones, there is an abundance of data that can be used to create models of high reliability. Existing techniques can reveal the macro-patterns of crowd movement, or analyze the trajectory of an individual object; however, they focus on geographical characteristics. In this paper, we employ a novel data representation, the mobility transition graph, which is generated from a citywide human mobility dataset by defining the temporal trends of crowd mobility and the interleaved transitions between different mobility patterns. We describe the design, creation and manipulation of the mobility transition graph and demonstrate the efficiency of our approach by case study.
AB - Modeling human mobility is a critical task in fields such as urban planning, ecology, and epidemiology. Given the current use of mobile phones, there is an abundance of data that can be used to create models of high reliability. Existing techniques can reveal the macro-patterns of crowd movement, or analyze the trajectory of an individual object; however, they focus on geographical characteristics. In this paper, we employ a novel data representation, the mobility transition graph, which is generated from a citywide human mobility dataset by defining the temporal trends of crowd mobility and the interleaved transitions between different mobility patterns. We describe the design, creation and manipulation of the mobility transition graph and demonstrate the efficiency of our approach by case study.
KW - Mobility
KW - Spatio-temporal transition
KW - Storyline
KW - Timeline
UR - http://www.scopus.com/inward/record.url?scp=84959554591&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959554591&partnerID=8YFLogxK
U2 - 10.1145/2818517.2818540
DO - 10.1145/2818517.2818540
M3 - Conference contribution
SN - 9781450339292
BT - SIGGRAPH Asia 2015 Visualization in High Performance Computing, SA 2015
PB - Association for Computing Machinery, Inc
ER -