Log in

Methodology and its application for community-scale evacuation planning against earthquake disaster

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

In urban area, popular and property is accumulated in a small area, potential risk of earthquake disaster in urban community is great. Pre-disaster emergency evacuation zoning has become a significant topic of disaster prevention and mitigation research. Based on the present layout of evacuation facilities and shelters as well as the evacuation demands in urban communities, a systematical methodology for occupant evacuation against earthquakes on community scale was developed by employing spatial analysis techniques of Geographical Information System (GIS). The methodology included the following aspects: the distribution analysis of emergency evacuation demands, the calculation of shelter space accessibility, and the optimization of evacuation destinations. This methodology was applied to Lujiazui Street in Pudong, a new district located in Shanghai, China. It was found that the proposed methodology could be used to formulate pre-event planning for earthquake disaster prevention and mitigation on a community scale, especially for organizing a rapid and smooth evacuation and optimizing the location allocation of shelters.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Balk DL, Deichmann U, Yetman G (2006) Determining global population distribution: methods, applications and data. Adv Parasitol 62:120–154

    Article  Google Scholar 

  • Chen G, Tao L, Zhang H (2009) Study on the methodology for evaluating urban and regional disaster carrying capacity and its application. Saf Sci 47(1):50–58

    Article  Google Scholar 

  • Chin SM, Southworth F (1990) RTMAS: prototype real time traffic monitoring analysis system. Technical manual and user’s manual. Report prepared for the federal emergency management agency, Washington, DC, 20472 (DRAFT)

  • Deichmann U (1996) A review of spatial population database design and modeling technical report 96-3. National Center for Geographic Information and Analysis, Santa Barbara

  • Dobson JE, Bright EA, Coleman PR, Durfee RC, Worley BA (2000) LandScan: a global population database for estimating populations at risk. Photogramm Eng Remote Sens 66(7):849–857

    Google Scholar 

  • Federal Emergency Management Agency (1984) Application of the I-DYNEV system. Five demonstration case studies. FEMA REP-8. Washington, D.C. 20472, 1984

  • Glickman TS (1986) A methodology for estimating time-of-day variations in the size of a population exposed to risk. Risk Anal 6(3):317–324

    Article  Google Scholar 

  • Hamza-Lup GL, Hua KA, Le M, Peng R (2004) Enhancing intelligent transportation systems to improve and support homeland security. IEEE intelligent transportation systems conference Washington, D.C., USA. pp 250–255

  • Huo EJ, Liu CS, Zhang ZQ (2004) The study on the activity of hidden faults in Shanghai. Seismological Press, Bei**g (in Chinese)

    Google Scholar 

  • Jones PM, Dix MC, Clarke MI, Heggie IG (1983) Understanding travel behavior. Gower Publishing Company, Aldershot, England

    Google Scholar 

  • Jotshi A, Gong Q, Batta R (2009) Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Econ Plan Sci 43(1):1–24

    Article  Google Scholar 

  • Kitamura R (1988) An evaluation of activity-based travel analysis. Transportation 15:9–34

    Article  Google Scholar 

  • Li G, Ma DH, Su JY, Wang L (2006) Study on urban earthquake emergency shelters planning. Bei**g University Technol 32(10):901–905 (in Chinese)

    Google Scholar 

  • Li X, Claramunt C, Kung H-T, Guo Z, Wu J (2008) A decentralized and continuity-based algorithm for delineating capacitated shelters’ service areas. Environ Plan B Plan Des 35(4):593–608

    Article  Google Scholar 

  • Lu QS, Huang Y, Shekhar S (2003) Evacuation planning: a capacity constrained routing approach. In: Proceeding of the first NSF/NIJ symposium on intelligence and security informatics (ISI 2003)

  • Pal A, Graettinger AJ, Triche MH (2003) Emergency evacuation modeling based on geographical information system data. TRB 2003 annual meeting CD-ROM

  • Shi Y, Shi C, Xu SY, Sun AL, Wang J (2010) Exposure assessment of rainstorm waterlogging on old-style residences in Shanghai based on scenario simulation. Nat Hazards 53(2):259–272

    Article  Google Scholar 

  • Sinuany-Stern Z, Stern E (1990) The role of traffic factors and route choice behavior in simulating urban evacuation. Department of Industrial Engineering and Management, Ben-Gurion University, Beer Sheva, Israel

    Google Scholar 

  • Southworth F (1991) Regional evacuation modelling: a state-of-the-art review. Oak Ridge National Laboratory, Energy Division, ORNL/TM-11740, Oak Ridge, TN

  • Su YP (2007) Urban disaster escape and refuges for evacuation. Science Press, China (in Chinese)

    Google Scholar 

  • Sutton P, Barbara S (1997) Modeling population density with night-time satellite imagery and GIS computers. Environ Urban Syst 21(3/4):227–244

    Article  Google Scholar 

  • Uno K, Kashiyama K (2008) Development of simulation system for the disaster evacuation based on multi-agent model using GIS. Tsinghua Sci Technol 13:348–353

    Article  Google Scholar 

  • US Department of Transportation, US Department of Homeland Security (2006). Report to congress on catastrophic hurricane evacuation plan evaluation, 1–189, http://www.fhwa.dot.gov/index.html

  • Ye MW, Wang J, Liu YL, Xu SY (2008) Study on refuge accessibility of park in inner-city of Shanghai based on GIS technique. Geogr Geo inf Sci 24(2):96–103 (in Chinese)

    Google Scholar 

  • Zou L, Ren AZ, Zhang X (2006) GIS-based evacuation simulation and rescue dispatch in disaster. Nat Disasters 15(6):1–5

    Google Scholar 

Download references

Acknowledgments

This paper was financially supported by the National Natural Science Foundation of China (NSFC) (Project No. 40730526; 41071324), Shanghai Science and Technology Talent Project (Project No. 09QA1401800), the Fundamental Research Funds for the Central Universities, PhD Program Scholarship Fund of ECNU (Project No. 2010033), and Doctor Foundation of Tian** Normal University (No. 52X09019). We gratefully acknowledge the thoughtful comments of the editor and reviewers.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ye, M., Wang, J., Huang, J. et al. Methodology and its application for community-scale evacuation planning against earthquake disaster. Nat Hazards 61, 881–892 (2012). https://doi.org/10.1007/s11069-011-9803-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-011-9803-y

Keywords

Navigation