Resource Allocation on High-Speed Railway Emergency Management

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High-Speed Railway Operation Under Emergent Conditions

Part of the book series: Advances in High-speed Rail Technology ((ADVHIGHSPEED))

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Abstract

The reasonable allocation of high-speed railway emergency resources is the basis for reducing incident response time.

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References

  1. Gan C, Qian Z, Qi H et al (2010) Allocation of emergency rescue resources for freeway traffic [J]. China Safety Sci J 20(1):165–170 (in Chinese)

    Google Scholar 

  2. Gengxin D, Qingli Da (2000) The study of combinatorial scheduling problem in emergency systems [J]. Syst Eng Theory Pract 20(9):52–55 (in Chinese)

    Google Scholar 

  3. Fang L (2008) Resource allocation of emergency system based on the DEA model with preference information [J]. Syst Eng Theory Pract 28(5):98–104 (in Chinese)

    Google Scholar 

  4. Mingang Z, Zengshou C, Shuang Li (2010) A novel model for resource assignment among multiple disaster places in emergency management [J]. Indus Eng J 13(1):85–89 (in Chinese)

    Google Scholar 

  5. Wang HJ, Du LJ, Ma SH (2014) Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake [J]. Transport Res Part E, 160–179

    Google Scholar 

  6. Kolesar P, Walker EW (1974) An algorithm for the dynamic relocation of fire companies [J]. Oper Res 22(2):249–274

    Article  Google Scholar 

  7. Fiedrich F, Gehbauer F, Rickers U (2000) Optimized resource allocation for emergency response after earthquake disasters [J]. Saf Sci 35(1):41–57

    Article  Google Scholar 

  8. Gendreau M, Laporte G, Semet F (2001) A dynamic model and parallel tabu search heuristic for real-time ambulance relocation [J]. Parallel Comput 27(12):1641–1653

    Article  Google Scholar 

  9. Chen, Chen L, Zhang J et al (2002) Development of evacuation route and shelter system for debris flow disaster [C]. Study on environmental protection of mountain disasters on both sides of the Taiwan Straits, (in Chinese)

    Google Scholar 

  10. Hong C, Lei Ji, Aiqun C (2003) Discussion on ‘dynamic game network technology’ caused by emergencies [J]. Project Manage Technol 1:11–14 (in Chinese)

    Google Scholar 

  11. Shetty SR (2004) An event single game solution for resource allocation in a multi-crisis environment [D]. University of South Florida, Tampa Bay

    Google Scholar 

  12. **aomeng Z, Lizhen J, Yunlong Z (2007) An innovated quantitative model of the optimal resource allocation in case of emergency [J]. J Saf Environ 7(6):113–115 (in Chinese)

    Google Scholar 

  13. **g Z, Shifei S, Rui Y (2007) Preference-order-based game modeling of multiple emergency resource allocation [J]. J Tsinghua Univ (Sci Technol) 47(12):2172–2175 (in Chinese)

    Google Scholar 

  14. Suisheng W, Yan W (2008) Emergency resources allocation among multiple disaster places under fair priority principle [J]. Oper Res Manage Sci 17(3):16–21 (in Chinese)

    Google Scholar 

  15. **a J, Wang W, **a J (2012) On the dynamic and rolling emergency resources allocation based on context-response [J]. J Hubei Univ Technol. (in Chinese)

    Google Scholar 

  16. Vladimir M, Charles R (1996) The queuing maximal availability location problem: a model for the sitting of emergency vehicles [J]. Eur J Oper Res 93:110–120

    Article  Google Scholar 

  17. Morin LR (1988) Monte carlo simulation in the radiological sciences [M]. CRC Press, Boca Raton

    Google Scholar 

  18. Jenkins T, Nelson W, Rindi A (1998) Monte carlo transport of electrons and photos [D]. Plenum Press, New York

    Google Scholar 

  19. Zhang K, Gu C (1987) Computational physics [M]. Shanghai: Fudan University Press, (in Chinese)

    Google Scholar 

  20. Zou X, ** Z (1993) Computataional solid state physics[M]. Wuhan University Press, (in Chinese)

    Google Scholar 

  21. Chen Yu (2007) The monte carlo simulation of surface segregation of the pd based alloys [D]. Hunan Normal University, Changsha (in Chinese)

    Google Scholar 

  22. Brotcorne L, Laporte G, Semet F (2003) Ambulance location and relocation models[J]. Eur J Oper Res 147:451–463

    Article  MathSciNet  Google Scholar 

  23. Quanxin W, **anfeng L, Qiang H et al (2008) The comparison of different selection methods in genetic algorithms [J]. J Commun Comput 5(8):61–65 (in Chinese)

    Google Scholar 

  24. Weiying Z (2004) Game theory and information economics [M]. Shanghai Renmin Chubanshe, Shanghai (in Chinese)

    Google Scholar 

  25. Shuguang Z (2000) China’s economy (1998) [M]. Shanghai Renmin Chubanshe, Shanghai (in Chinese)

    Google Scholar 

  26. Changjun W (2006) Study on model and algorithm of production scheduling based on noncooperative game [D]. Shanghai Jiao Tong University, Shanghai (in Chinese)

    Google Scholar 

  27. Nash J (1951) Non-cooperative games [J]. Ann Math 54(2):286–295

    Article  MathSciNet  Google Scholar 

  28. Debreu D (1952) A social equilibrium existence theorem [C]. Proc Natl Acad Sci 38:886–893

    Article  MathSciNet  Google Scholar 

  29. Gilicksberg IL (1952) A further generalization of the Kakutani fixed point theorem with application to nash equilibrium points [C]. Proc Natl Acad Sci 38:170–174

    MathSciNet  Google Scholar 

  30. Fan K (1952) Fixed point and minmax theorems in locally convex topological linear spaces [C]. Proc Natl Acad Sci 38:121–126

    Article  Google Scholar 

  31. Dasgupta P, Maskin E (1986) The existence of equilibrium in discontinuous economic games [J]. Rev Econ Stud 53(1):1–26

    Article  MathSciNet  Google Scholar 

  32. Wilson R (1971) Computing equilibrium of n-person games [J]. SIAM J Appl Math 21(1):80–87

    Article  MathSciNet  Google Scholar 

  33. Baoming Li, Jiazhuang L (2000) Utility function and nash equilibrium [J]. Math Econ 17(4):21–28 (in Chinese)

    Google Scholar 

  34. Zhenglong Li (2004) An existence distinguishing method for pure strategy nash equilibrium existence in n-person static games [J]. Oper Res Manage Sci 13(1):33–37 (in Chinese)

    Google Scholar 

  35. Jöfberg J (2004) Yalmip: a toolbox for modeling and optimization in MATLAB [C]. Proceedings of the CACSD conference, Taipei, Taiwan

    Google Scholar 

  36. Zhou HJ, Jia LM, Qin Y (2009) Metadata specification of railway video information and its application in video monitoring system for Qinghai-Tibet railway [C]. Proceedings of international symposium on computer network and multimedia technology, 1018–1021

    Google Scholar 

  37. Huijuan Z (2011) Plan management and resource allocation optimization on railway emergency management [D]. Bei**g Jiaotong University, Bei**g (in Chinese)

    Google Scholar 

Download references

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Correspondence to Limin Jia .

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Jia, L., Wang, L., Qin, Y. (2022). Resource Allocation on High-Speed Railway Emergency Management. In: High-Speed Railway Operation Under Emergent Conditions. Advances in High-speed Rail Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-63033-4_7

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  • DOI: https://doi.org/10.1007/978-3-662-63033-4_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-63031-0

  • Online ISBN: 978-3-662-63033-4

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