Skip to main content

Multi-objective Route Planning Model and Algorithm for Emergency Management

  • Chapter
  • First Online:
Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents

Abstract

In recent years, a number of frequent natural disasters and man-made catastrophic events happen occasionally (Gai et al. in Math Probl Eng 2015:1–17, 2015 [1], Chang et al. in Transp Res Part E 43:737–754, 2007 [2], Skidmore and Toya in Land Econ 89:101–117, 2013 [3]). As an emerging research area, emergency logistics management is attracting more and more attention of researchers.

This chapter is a reprint with permission from Hindawi [1].

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Gai WM, Jiang ZA, Deng YF et al. (2015) Multiobjective Route Planning Model and Algorithm for Emergency Management [J] Mathematical Problems in Engineering 2015:1–17.

    Article  MathSciNet  Google Scholar 

  2. Chang M, Tseng Y, Chen J (2007) A scenario planning approach for the flood emergency logistics preparation problem under uncertainty Transport Research Part E 43(6):737–754.

    Article  Google Scholar 

  3. Skidmore M, Toya H (2013) Natural Disaster Impacts and Fiscal Decentralization Land Economics 89(1):101–117.

    Article  Google Scholar 

  4. Deng Y, Chan F (2011) A new fuzzy dempster MCDM method and its application in supplier selection Expert Systems with Applications 38(8):9854–9861.

    Article  Google Scholar 

  5. Mathieu Gorge (2006) Crisis management best practice – where do we start from Computer Fraud & Security 6:10–13.

    Google Scholar 

  6. Barlas B (2012) Occupational Fatalities in Shipyards: an Analysis in Turkey Brodogradnja 63(1):35–41.

    Google Scholar 

  7. Caunhye AM, Nie X, Pokharel S (2012) Optimization models in emergency logistics: A literature review Socio-Economic Planning Sciences 46(1):4–13.

    Article  Google Scholar 

  8. Bastos MAG, Campos VBG, Bandeira RAM (2014) Logistic Processes in a Post-disaster Relief Operation Procedia-Social and Behavioral Sciences 111:1175–1184.

    Article  Google Scholar 

  9. Yi W, Özdamar L (2007) A dynamic logistics coordination model for evacuation and support in disaster response activities European Journal of Operational Research 179(3):1177–1193.

    Article  MathSciNet  Google Scholar 

  10. Özdamar L, Demir O (2012) A hierarchical clustering and routing procedure for large scale disaster relief logistics planning Transportation Research Part E: Logistics and Transportation Review 48(3):591–602.

    Article  Google Scholar 

  11. Sheu JB (2007) An emergency logistics distribution approach for quick response to urgent relief demand in disasters Transport Research Part E 43(6):687–709.

    Article  Google Scholar 

  12. Hu ZH (2011) A container multimodal transportation scheduling approach based on immune affinity model for emergency relief Expert Systems with Applications 38(3):2632–2639.

    Article  Google Scholar 

  13. Berkoune D, Renaud J, Rekik M et al. (2012) Transportation in disaster response operations Socio-Economic Planning Sciences 46(1):23–32.

    Article  Google Scholar 

  14. Rennemo SJ, Rø KF, Hvattum LM et al. (2014) A three-stage stochastic facility routing model for disaster response planning Transportation Research Part E: Logistics and Transportation Review 62:116–135.

    Article  Google Scholar 

  15. Yuan Y, Wang D (2009) Path selection model and algorithm for emergency logistics management Computers & Industrial Engineering 56(3):1081–1094.

    Article  Google Scholar 

  16. Zhang X, Zhang Z, Zhang Y et al. (2013) Route selection for emergency logistics management: A bio-inspired algorithm Safety Science 54:87–91.

    Article  Google Scholar 

  17. Yue H. Research on Method to Solve Uncertain Optimization Problem based on Interval Number. North China Electric Power University, 2013.

    Google Scholar 

  18. Wang Z, Dang Y, Song C (2009) Multi-objective decision model of grey situation based on interval number Control and Decision 24(3):388–392.

    Google Scholar 

  19. Jones BD (2002) Bounded rationality and public policy: Herbert A. Simon and the decisional foundation of collective choice Policy Sciences 35:269–284.

    Article  MathSciNet  Google Scholar 

  20. International Association of Oil & Gas Producers 2010. Risk assessment data directory: vulnerability of humans. No. 434 - 14.1.

    Google Scholar 

  21. Ahuja RK, Magnanti TL, Orlin JB (1993) Network flows: Theory, algorithms and application. Pearson Education, New York.

    Google Scholar 

  22. Seet BC, Liu Genping, Lee BS et al. A*: A mobile ad hoc routing strategy for metropolis vehicular communications. Networking 2004. 2004.

    Google Scholar 

  23. Stentz A. Optimal and efficient path planning for partially-known environments. Proceedings IEEE International Conference on Robotics and Automation, 3310–3317, 1994.

    Google Scholar 

  24. Stentz A (1995) The focussed D* algorithm for real-time replanning Proceedings of the International Joint Conference on Artificial Intelligence 95:1652–1659.

    Google Scholar 

  25. Marler RT, Arora JS (2010) The weighted sum method for multi-objective optimization: new insights Structural and multidisciplinary optimization 41(6):853–862.

    Article  MathSciNet  Google Scholar 

  26. Marler RT, Arora JS (2004) Survey of multi-objective optimization methods for engineering Structural and Multidisciplinary Optimization 26:369–395.

    Article  MathSciNet  Google Scholar 

  27. Zadeh L (1963) Optimality and non-scalar-valued performance criteria Aoma Onrol Ranaon on 8:59–60.

    Article  Google Scholar 

  28. Ghoseiri K, Nadjari B (2010) An ant colony optimization algorithm for the bi-objective shortest path problem Applied Soft Computing 10(4):1237–1246.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wenmei Gai .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Science Press and Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gai, W., Du, Y., Deng, Y. (2019). Multi-objective Route Planning Model and Algorithm for Emergency Management. In: Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents. Springer, Singapore. https://doi.org/10.1007/978-981-13-2871-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-2871-8_5

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2870-1

  • Online ISBN: 978-981-13-2871-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics