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Discrete Dynamics in Nature and Society
Volume 2016, Article ID 9031351, 8 pages
http://dx.doi.org/10.1155/2016/9031351
Research Article

Risk-Averse Evolutionary Game Model of Aviation Joint Emergency Response

1School of Economics and Management, Wuhan University, Wuhan 430072, China
2Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

Received 8 March 2016; Revised 27 April 2016; Accepted 28 April 2016

Academic Editor: Massimiliano Ferrara

Copyright © 2016 Wei Pan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y.-G. Feng and J. Wu, “Risk-averse newsvendor game model under emergency situations,” System Engineering Theory and Practice, vol. 35, no. 3, pp. 598–607, 2015. View at Google Scholar · View at Scopus
  2. X.-Y. Zhu and F. Luo, “Study on mechanism optimization of joint emergency response to aviation calamities in China,” China Safety Science Journal, vol. 17, no. 6, pp. 5–11, 2007. View at Google Scholar
  3. T. Debbie, “Hazmat clean-up firm opens regional response center in North Salt Lake,” Enterprise/Salt Lake City, vol. 36, no. 4, pp. 1–6, 2006. View at Google Scholar
  4. W. U. De-Sheng and L. I. Wei-An, “Interaction between formal contracts and informal contracts under random matching game,” Journal of Management Science in China, vol. 13, no. 12, pp. 76–85, 2010. View at Google Scholar
  5. A. Abbasi, “Link formation pattern during emergency response network dynamics,” Natural Hazards, vol. 71, no. 3, pp. 1957–1969, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. J. M. Smith and G. R. Price, “The logic of animal conflict,” Nature, vol. 246, no. 5427, pp. 15–18, 1973. View at Publisher · View at Google Scholar · View at Scopus
  7. M. A. Nowak, A. Sasaki, C. Taylor, and D. Fudenherg, “Emergence of cooperation and evolutionary stability in finite populations,” Nature, vol. 428, no. 6983, pp. 646–650, 2004. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Faraj and Y. Xiao, “Coordination in fast-response organizations,” Management Science, vol. 52, no. 8, pp. 1155–1169, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. N. Kapucu, “Public-nonprofit partnerships for collective action in dynamic contexts of emergencies,” Public Administration, vol. 84, no. 1, pp. 205–220, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. Ö. Gürerk, B. Irlenbusch, and B. Rockenbach, “On cooperation in open communities,” Journal of Public Economics, vol. 120, pp. 220–230, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Perc and A. Szolnoki, “Co-evolutionary games—a mini review,” BioSystems, vol. 99, no. 2, pp. 109–125, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. G. Szabó and A. Szolnoki, “Selfishness, fraternity, and other-regarding preference in spatial evolutionary games,” Journal of Theoretical Biology, vol. 299, pp. 81–87, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  13. P. Buesser, J. Peña, E. Pestelacci, and M. Tomassini, “The influence of tie strength on evolutionary games on networks: an empirical investigation,” Physica A: Statistical Mechanics and Its Applications, vol. 390, no. 23-24, pp. 4502–4513, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  14. H. Carlsen, L. Johansson, P. Wikman-Svahn, and K. H. Dreborg, “Co-evolutionary scenarios for creative prototyping of future robot systems for civil protection,” Technological Forecasting and Social Change, vol. 84, pp. 93–100, 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Dehai and Y. Lijuan, “Equilibrium evolutionary analysis about city demolition emergency based scenario analysis,” Management Review, vol. 24, no. 5, pp. 154–159, 2012. View at Google Scholar
  16. G. Li, Y.-G. Gu, and Z.-H. Song, “Evolution of cooperation on heterogeneous supply networks,” International Journal of Production Research, vol. 51, no. 13, pp. 3894–3902, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Abbasi, C. Owen, L. Hossain, and J. Hamra, “Social connectedness and adaptive team coordination during fire events,” Fire Safety Journal, vol. 59, pp. 30–36, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. T. R. Roekafller and S. Uryasev, “Optimization of conditional value-at-risk,” Journal of Risk, vol. 2, no. 3, pp. 21–41, 2000. View at Google Scholar
  19. R. T. Rockafellar and S. Uryasev, “Conditional value-at-risk for general loss distributions,” Journal of Banking and Finance, vol. 26, no. 7, pp. 1443–1471, 2002. View at Publisher · View at Google Scholar · View at Scopus
  20. W. Jammernegg and P. Kischka, “Risk-averse and risk-taking newsvendors: a conditional expected value approach,” Review of Managerial Science, vol. 1, no. 1, pp. 93–110, 2007. View at Publisher · View at Google Scholar
  21. W. Jammernegg and P. Kischka, “Risk preferences and robust inventory decisions,” International Journal of Production Economics, vol. 118, no. 1, pp. 269–274, 2009. View at Publisher · View at Google Scholar · View at Scopus
  22. W. Jammernegg and P. Kischka, “Risk preferences of a newsvendor with service and loss constraints,” International Journal of Production Economics, vol. 143, no. 2, pp. 410–415, 2013. View at Publisher · View at Google Scholar · View at Scopus
  23. F. Wex, G. Schryen, S. Feuerriegel, and D. Neumann, “Emergency response in natural disaster management: allocation and scheduling of rescue units,” European Journal of Operational Research, vol. 235, no. 3, pp. 697–708, 2014. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  24. R. Abounacer, M. Rekik, and J. Renaud, “An exact solution approach for multi-objective location-transportation problem for disaster response,” Computers and Operations Research, vol. 41, no. 1, pp. 83–93, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. A. Bozorgi-Amiri, M. S. Jabalameli, and S. M. Mirzapour Al-e-Hashem, “A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty,” OR Spectrum, vol. 35, no. 4, pp. 905–933, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  26. X. Chen, Y. Zhang, T.-Z. Huang, and M. Perc, “Solving the collective-risk social dilemma with risky assets in well-mixed and structured populations,” Physical Review E, vol. 90, no. 5, Article ID 052823, 2014. View at Publisher · View at Google Scholar · View at Scopus
  27. X. Chen, A. Szolnoki, and M. Perc, “Averting group failures in collective-risk social dilemmas,” EPL, vol. 99, pp. 1–6, 2012. View at Google Scholar
  28. C.-Y. Xia, S. M. Meloni, M. Perc, and Y. Moreno, “Dynamic instability of cooperation due to diverse activity patterns in evolutionary social dilemmas,” Europhysics Letters, vol. 109, no. 5, Article ID 58002, pp. 1–6, 2015. View at Publisher · View at Google Scholar
  29. H. Herlin and A. Pazirandeh, “Nonprofit organizations shaping the market of supplies,” International Journal of Production Economics, vol. 139, no. 2, pp. 411–421, 2012. View at Publisher · View at Google Scholar · View at Scopus
  30. I. M. Nolte, E. C. Martin, and S. Boenigk, “Cross-sectoral coordination of disaster relief,” Public Management Review, vol. 14, no. 6, pp. 707–730, 2012. View at Publisher · View at Google Scholar · View at Scopus
  31. W. L. Waugh Jr. and G. Straib, “Collaboration and leadership for effective emergency management,” Public Administration Review, vol. 66, no. 1, pp. 131–140, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. J. M. Brinkerhoff, “Government-nonprofit partnership: a defining framework,” Public Administration and Development, vol. 22, no. 1, pp. 19–30, 2002. View at Publisher · View at Google Scholar · View at Scopus
  33. K. Huang, “Co-evolution between individual preference and mechanisms: a new approach,” Research on institutional Economics, no. 1, pp. 1–27, 2014. View at Google Scholar
  34. Y.-L. Liu, X.-X. Mei, and F. Sun, “Evolution path on the change of enterprises' international operational pattern based evolutionary game,” Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, vol. 35, no. 3, pp. 763–770, 2015. View at Google Scholar · View at Scopus
  35. Y. Xu, B. Hu, and R. Qian, “Analysis on stability of strategic alliances based on stochastic evolutionary game including simulations,” System Engineering Theory and Practice, vol. 31, no. 5, pp. 920–926, 2011. View at Google Scholar · View at Scopus
  36. M. A. Nowak, “Five rules for the evolution of cooperation,” Science, vol. 314, no. 5805, pp. 1560–1563, 2006. View at Publisher · View at Google Scholar · View at Scopus
  37. W. Pan, S. Liu, Y. Guo, and F. Wang, “Fuzzy multi-objective model for supplier selection considering multiple products in low carbon supply chain,” Environmental Engineering and Management Journal, vol. 14, no. 8, 2015. View at Google Scholar
  38. W. Pan, F. Wang, Y. Guo, and S. Liu, “A fuzzy multiobjective model for supplier selection under considering stochastic demand in a supply chain,” Mathematical Problems in Engineering, vol. 2015, Article ID 174585, 8 pages, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  39. W. Pan, L. Yu, S. Wang, and X. Wang, “A fuzzy multi-objective model for provider selection in data communication services with different QoS levels,” International Journal of Production Economics, vol. 147, pp. 689–696, 2014. View at Publisher · View at Google Scholar · View at Scopus
  40. W. Pan, X. Wang, Y.-G. Zhong et al., “A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels,” International Journal of Systems Science, vol. 43, no. 6, pp. 1054–1063, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus