SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data‐Driven Shot Designs

Despite the significance of tracking human mobility dynamics in a large‐scale earthquake evacuation for an effective first response and disaster relief, the general understanding of evacuation behaviors remains limited. Numerous individual movement trajectories, disaster damages of civil engineering...

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Vydáno v:Computer graphics forum Ročník 39; číslo 3; s. 523 - 535
Hlavní autoři: Li, Q., Liu, Y. J., Chen, L., Yang, X. C., Peng, Y., Yuan, X. R., Wijerathne, M. L. L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Blackwell Publishing Ltd 01.06.2020
Témata:
CCS Concepts
Disaster relief
Earthquake damage
Earthquakes
Evacuation routing
Evacuation systems
Evacuations & rescues
Human‐centered computing → Visualization; Visualization design and evaluation methods
Natural language processing
Tracking
Urban environments
Visualization
ISSN:0167-7055, 1467-8659
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Shrnutí:Despite the significance of tracking human mobility dynamics in a large‐scale earthquake evacuation for an effective first response and disaster relief, the general understanding of evacuation behaviors remains limited. Numerous individual movement trajectories, disaster damages of civil engineering, associated heterogeneous data attributes, as well as complex urban environment all obscure disaster evacuation analysis. Although visualization methods have demonstrated promising performance in emergency evacuation analysis, they cannot effectively identify and deliver the major features like speed or density, as well as the resulting evacuation events like congestion or turn‐back. In this study, we propose a shot design approach to generate customized and narrative animations to track different evacuation features with different exploration purposes of users. Particularly, an intuitive scene feature graph that identifies the most dominating evacuation events is first constructed based on user‐specific regions or their tracking purposes on a certain feature. An optimal camera route, i.e., a storyboard is then calculated based on the previous user‐specific regions or features. For different evacuation events along this route, we employ the corresponding shot design to reveal the underlying feature evolution and its correlation with the environment. Several case studies confirm the efficacy of our system. The feedback from experts and users with different backgrounds suggests that our approach indeed helps them better embrace a comprehensive understanding of the earthquake evacuation.
Bibliografie:L. Chen is the corresponding author.
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.13999