Volume 31 Issue 1
Jan.  2022
Turn off MathJax
Article Contents
WANG Wei, LIU Shufen, LI Bing. “A Hypernetwork Based Model for Emergency Response System”. Chinese Journal of Electronics, vol. 31 no. 1. doi: 10.1049/cje.2020.00.335
Citation: WANG Wei, LIU Shufen, LI Bing. “A Hypernetwork Based Model for Emergency Response System”. Chinese Journal of Electronics, vol. 31 no. 1. doi: 10.1049/cje.2020.00.335

A Hypernetwork Based Model for Emergency Response System

doi: 10.1049/cje.2020.00.335
Funds:  This work was supported by the National Key R&D Program of China (2016YFC0802600)
More Information
  • Author Bio:

    was born in Henan Province, China, in 1981. He is a Ph.D. candidate in the College of Computer Science and Technology of Jilin University. His research interests include command scheduling algorithm and resources optimization allocation in aviation emergency rescue. (Email: wgc666@163.com)

    was born in Jilin Province, China, in 1950. Currently she is a Professor in College of Computer Science and Technology of Jilin University. Her research interests include computer supported cooperative work, computer simulation technology, big data and artificial intelligence. (Email: liusf@jlu.edu.cn)

    (corresponding author) was born in Henan Province, China, in 1977. He is a Lecturer in the College of Computer Science and Technology of Jilin University. His research interests include computer supported cooperative work, command scheduling algorithm and artificial intelligence. (Email: lib@jlu.edu.cn)

  • Received Date: 2020-10-10
  • Accepted Date: 2020-12-14
  • Available Online: 2021-10-16
  • Publish Date: 2022-01-05
  • Current emergency response systems are facing several challenges, including complex emergency network structure definition and inefficient emergency scheduling. For these problems, the paper analyzes the characteristics of emergency networks, and abstracts them into multiple interconnected, interdependent and interactive networks according to the characteristics of hierarchy, attribute and function, and then proposes a hypernetwork based model and its constraint conditions. Furthermore, the paper proposes an emergency scheduling method. This method fully considers the psychological factors of people and the rescue cost factors in disasters in order to balance the interests among different levels of network during rescue. The experiment results show that the model and the method proposed in this paper can not only better reveal the composition and structure of emergency response system, but also effectively balance the cost and the satisfaction in rescue.
  • loading
  • [1]
    L. Xue, “Evolution of emergency management system in China,” Administrative Reform, no.3, pp.22–24, 2010. (in Chinese)
    C. C. Shan, L. Zhou, X. K. Qin, et al., “The status Quo and problems with and solutions to Chinas national emergency management system,” China Public Administration Review, vol.2, no.2, pp.5–20, 2020. (in Chinese)
    M. Wapee and I. Takashi, “A review of relief supply chain optimization,” Industrial Engineering & Management Systems, vol.13, no.1, pp.1–14, 2014.
    M. Ahmadi, A. Seifi, and B. Tootooni, “A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on san francisco district,” Transportation Research Part E: Logistics and Transportation Review, vol.75, no.1, pp.145–163, 2015.
    B. Balcik and B. M. Beamon, “Facility location in humanitarian relief,” International Journal of Logistics Research and Applications, vol.11, no.2, pp.101–121, 2008. doi: 10.1080/13675560701561789
    C. G. Rawls and M. A. Turnquist, “Pre-positioning of emergency supplies for disaster response,” Transportation Research Part B: Methodological, vol.44, no.4, pp.521–534, 2010. doi: 10.1016/j.trb.2009.08.003
    M. Yang, Y. K. Liu, and G. Q. Yang, “Multi-period dynamic distributionally robust pre-positioning of emergency supplies under demand uncertainty,” Applied Mathematical Modelling, vol.89, no.2, pp.1433–1458, 2021.
    H. Hu, J. He, X. F. He, et al., “Emergency material scheduling optimization model and algorithms: A review,” Journal of Traffic and Transportation Engineering, vol.6, no.5, pp.441–454, 2019.
    G. B. Zhu, M. L. Liu, Y. Yang, et al., “Research on a hypernetwork based model for emergency response plan system,” Acta Electronica Sinica, vol.46, no.5, pp.1269–1273, 2018. (in Chinese)
    A. Douglas, C. Alistair, and M. Alfredo, “Stochastic network models for logistics planning in disaster relief,” European Journal of Operational Research, vol.255, no.1, pp.187–206, 2016. doi: 10.1016/j.ejor.2016.04.041
    Y. H. Qi, Y. G. Cai, H. Cai, et al., “Discrete bat algorithm for vehicle routing problem with time window,” Acta Electronica Sinica, vol.46, no.3, pp.672–679, 2018. (in Chinese)
    Y. H. Qi, Y. G. Cai, H. Cai, et al., “Two-level bat algorithm with variable neighborhood search for capacitated vehicle routing problem in supply chain,” Acta Electronica Sinica, vol.47, no.7, pp.1434–1442, 2019. (in Chinese)
    G.W. Huang, Y.G. Cai, Y.H. Qi, et al., “Adaptive genetic grey wolf optimizer algorithm for capacitated vehicle routing problem,” Acta Electronica Sinica, vol.47, no.12, pp.2602–2610, 2019. (in Chinese)
    A. Nagurney and J. DONG, Supernetworks: Decision-Making for the Information Age, Northampton: Edward Elgar Publishers, pp.32–36, 2002.
    A. Nagurney and T. Wakolbinger, “Supernetworks: An introduction to the concept and its applications with a specific focus on knowledge supernetworks,” International Journal of Knowledge Culture and Change Management, vol.4, no.1, pp.1–16, 2005.
    Z. T. Wang, “Reflection on supernetwork,” Journal of University of Shanghai for Science and Technology, vol.33, no.3, pp.229–237, 2011. (in Chinese)
    H. Y Liu, X. F. Hu, R. X. Liu, et al., “Dynamic measurement method of operation SoS effectiveness index based on sequential super-network,” Fire Control & Command Control, vol.45, no.4, pp.47–52, 2020. (in Chinese)
    L. L. Deng, “The ultimatum game on complex networks,” Ph.D.Thesis, Tianjin University, China, 2012.
    J. Cares, Distributed Networked Operations: The Foundations of Network Centric Warfare, Lincoln: iUniverse, pp.35–48, 2005.
    S. Zhu, Z. G. Ma, and C. He, “Research on scale-free network characteristics of emergency logistics network,” Logistics Sci-Tech, vol.39, no.12, pp.29–34, 2016.
    J. M. Zhu and R. Wang, “Study on multi-stage distribution of emergency materials in disaster rescue based on people’s psychological perception,” Journal of Safety Science and Technology, vol.16, no.2, pp.5–10, 2020. (in Chinese)
    B. Li, “Research on key technology of self adaptive software,” Ph.D.Thesis, Jilin University, CN, 2012.
    C. W. Xie, X. F. zou, and Z. J. Wang, “A multi-objective particle swarm optimization algorithm integrating multiply strategies,” Acta Electronica Sinica, vol.43, no.8, pp.1538–1544, 2015. (in Chinese)
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(1)

    Article Metrics

    Article views (397) PDF downloads(20) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint