Skip to main content
SpringerLink
Log in

Visual exploration of tsunami evacuation planning

  • Regular Paper
  • Published:
Journal of Visualization Aims and scope Submit manuscript

Abstract

We present a novel web browser-based interactive visualization tool to aid in rapid tsunami evacuation planning. The interface loads simulated route-schedule flow data for visual analysis and allows users to explore the spatio-temporal evolvement of an evacuation process with a dynamic map. It also supports multiple filtering and summary interaction, i.e., filtering the roads/nodes by their utilization efficiency and summarizing the congested roads during evacuation. The multiple linked views including some diagrams facilitate the analysis of evacuation efficiency and verifying of evacuation schedules. Our tool also supports dynamic evacuation parameter settings to help to make the evacuation strategies and optimize decision-making. A case study on the possible tsunami evacuation events is conducted with disaster managers and domain experts. Encouraging remarks on usability and performance were received.

Graphical Abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Andrienko G, Andrienko N, Bartling U (2008) Visual analytics approach to user-controlled evacuation scheduling. Inf Vis 7(1):89–103

    Article  Google Scholar 

  • Chen Y, Chen Q, Wei Z (2007) Tsunami disaster in China. J Nat Disasters 16(2):1–6

    Google Scholar 

  • Cook KA, Thomas JJ (2006) Illuminating the path: the research and development agenda for visual analytics. Technical report, Pacific Northwest National Laboratory (PNNL), Richland, WA (US)

  • Dewi RS et al (2012) A-gis based approach of evacuation model for tsunami risk reduction. IDRiM J 2(2):108–139

    Article  Google Scholar 

  • González Riancho P, Aguirre Ayerbe I, Aniel Quiroga Íñigo, Abad S, González M, Larreynaga J, Gavidia F, Gutiérrez OQ, Antonio Álvarez Gómez José, Medina R (2013) Tsunami evacuation modelling as a tool for risk reduction. Nat Hazards 13:3249–3270

    Article  Google Scholar 

  • Guest J, Eaglin T, Subramanian K, Ribarsky W (2013) Visual analysis of situationally aware building evacuations. In IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, p 86540G–86540G

  • Hoffmann P, Höferlin M, Kirstädter A, Weiskopf D (2013) Dynamic evacuation planning by visual analyticsan expert survey. SIGRAD 2013, p 3

  • Keon DB (2012) Automated web-based analysis and visualization of spatiotemporal data

  • Liu Yingchun, Santos Angela, Wang SM, Shi Y, Liu H, Yuen DA (2007) Tsunami hazards along Chinese coast from potential earthquakes in South China sea. Phys Earth Planet Inter 163(1):233–244

    Article  Google Scholar 

  • Lu Q, George B, Shekhar S (2005) Capacity constrained routing algorithms for evacuation planning: a summary of results. In Advances in spatial and temporal databases, pages 291–307. Springer

  • Mas Erick, Suppasri Anawat, Imamura Fumihiko, Koshimura Shunichi (2012) Agent-based simulation of the 2011 great east japan earthquake/tsunami evacuation: an integrated model of tsunami inundation and evacuation. J Nat Disaster Sci 34(1):41–57

    Article  Google Scholar 

  • Péroche M, Leone F, Gutton R (2014) An accessibility graph-based model to optimize tsunami evacuation sites and routes in Martinique, France. Adv Geosci 38:1–8

    Article  Google Scholar 

  • Reddy R, Höferlin M, Dambier M, Weiskopf D (2012) Visual analytics for dynamic evacuation planning. In Int Workshop Vis Anal (EuroVA), pp 13–17

  • Soo Yang K, Gunturi VV, Manikonda L, Oliver D, Zhou X, George B, Kim S, Wolff JR, Lu Q (2012) Experiences with evacuation route planning algorithms. Int J Geogr Inf Sci 26(12):2253–2265

    Article  Google Scholar 

  • Wang XM (2009) User manual for comcot version 1.7

  • Yanhui Wang, Liqiang Zhang, Jingtao Ma, Liu Liu, Dongqin You, Lixin Zhang (2010) Combining building and behavior models for evacuation planning. IEEE Comput Graph Appl 31(3):42–55

    Article  Google Scholar 

  • Yin D (2009) A scalable heuristic for evacuation planning in large road network. In: Proceedings of the Second International Workshop on Computational Transportation Science ACM, pp 19–24

Download references

Acknowledgments

The authors wish to thank anonymous reviewers. This work was supported in part by a grant from Young Teacher Foundation of Ocean University of China (No: 201213016), International Science & Technology Cooperation Program of China (No: 2014DFA10410), National Natural Science Foundation of China (No: 61271405).

Author information

Authors and Affiliations

  1. CS Department of the Ocean University of China, 238 Songling road, 266100, Qingdao, China

    Cui Xie, Guangxiao Ma, Qiong Li, Jinjin Xun & Junyu Dong

Authors
  1. Cui Xie
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guangxiao Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qiong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jinjin Xun
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Junyu Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cui Xie.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xie, C., Ma, G., Li, Q. et al. Visual exploration of tsunami evacuation planning. J Vis 19, 475–487 (2016). https://doi.org/10.1007/s12650-015-0324-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12650-015-0324-8

Keywords

Search

Navigation