Skip to main content

Developing a GIS Based Decision Support System for Resource Allocation in Earthquake Search and Rescue Operation

  • Conference paper
Computational Science and Its Applications – ICCSA 2012 (ICCSA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7334))

Included in the following conference series:

Abstract

After an extreme earthquake strikes an urban area, the main objective of a Search and rescue operation is to minimize the number of fatalities. Therefore the assignment of rescue resources (Rescue Groups) to operational areas is of great importance to disaster managers. This paper presents a Decision support system based on Geographic Information System (GIS) and queuing theory in order to determine the resource allocation of an operational area. First, a simulation of an earthquake is implemented in GIS environment. Second, a queuing model simulation is executed and the resulting performance measures are evaluated by considering the survival time for entrapped occupants in the area and the desired Disaster management parameters. Additionally, the best assignment of rescue groups to an operational area is determined. Further work will be dedicated to applying the survival rate into the task allocation model.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Metzger, M.D.: Formulating EarthQuake Response Models in Iran. Masters Thesis, MIT (2004)

    Google Scholar 

  2. Fiedrich, F., Gehbauer, F., Rickers, U.: Optimized Resource Allocation for Emergency Response after Earthquake Disasters. Safety Science 35, 41–57 (2000)

    Article  Google Scholar 

  3. Cutter, S.L.: GI Science, Disasters, and Emergency Management. Transactions in GIS 7(4), 439–445 (2003)

    Article  Google Scholar 

  4. Pradhan, A., Laefer, D.F., Rasdorf, W.J.: Infrastructure management information system framework. Journal of Computing in Civil Engineering 21(2), 90–101 (2007)

    Article  Google Scholar 

  5. Cova, T.J.: GIS in Emergency Management. In: Longley, P.A., Goodchild, M.F., Maguire, D.J., Rhind, D.W. (eds.) Geographical Information Systems: Principles, Techniques, Applications, and Management 2, pp. 845–858. John Wiley & Sons, New York (1999)

    Google Scholar 

  6. Chen, A.Y., Peña-Mora, F., Ouyang, Y.: A Collaborative GIS framework to support equipment distribution for civil engineering disaster response operations. Automation in Construction 20, 637–648 (2011)

    Article  Google Scholar 

  7. Gerkey, B.P., Mataric, M.J.: Sold!: Auction Methods for Multirobot Coordination. IEEE Transactions on Robotics and Automation 18, 758–768 (2002)

    Article  Google Scholar 

  8. Dias, M.B., Zlot, R., Kalra, N., Stentz, A.: Market-Based Multirobot Coordination: A Survey and Analysis. Proceedings of the IEEE 94, 1257–1270 (2006)

    Article  Google Scholar 

  9. Vafaeinezhad, A.R., Alesheikh, A.A., Hamrah, M., Nourjou, R., Shad, R.: Using GIS to Develop an Efficient Spatio-temporal Task Allocation Algorithm to Human Groups in an Entirely Dynamic Environment Case Study: Earthquake Rescue Teams. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2009. LNCS, vol. 5592, pp. 66–78. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Wright, P.D., Liberatore, M.J., Nydick, R.L.: A Survey of Operations Research Models and Applications in Homeland Security. Interfaces 36(6), 514–529 (2006)

    Article  Google Scholar 

  11. Goldberg, J.B.: Operations research models for the Deployment of emergency services vehicles. EMS Management Journal 1(1), 20–39 (2004)

    Google Scholar 

  12. Mansouri, B., Hosseini, K.A., Nourjou, R.: Seismic Human Loss Estimation In Tehran Using GIS. In: 14th World Conference on Earthquake Engineering, Beijing (2008)

    Google Scholar 

  13. Altiok, T., Melamed, B.: Simulation Modeling & Analysis with Arena. Elsevier, USA (2007)

    Google Scholar 

  14. Coburn, A., Spence, R.: Earthquake Protection. John Wiley, London (2002)

    Book  Google Scholar 

  15. Ohta, Y., Murakami, H., Watoh, Y., Koyama, M.: A model for Evaluating Life Span Characteristics of Entrapped Occupants By An EarthQuake. In: 13th World Conference on Earthquake Engineering, Vancover, Canada (2004)

    Google Scholar 

  16. Singer, M., Donoso, P.: Assessing an ambulance service with queuing theory. Computers & Operations Research 35, 2549–2560 (2008)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rasekh, A., Vafaeinezhad, A.R. (2012). Developing a GIS Based Decision Support System for Resource Allocation in Earthquake Search and Rescue Operation. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2012. ICCSA 2012. Lecture Notes in Computer Science, vol 7334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31075-1_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31075-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31074-4

  • Online ISBN: 978-3-642-31075-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics