Disaster spread simulation and rescue time optimization in a resource network

被引:24
作者
Hu, Zhi-Hua [1 ]
Sheng, Zhao-Han [2 ]
机构
[1] Shanghai Maritime Univ, Logist Res Ctr, Shanghai 200135, Peoples R China
[2] Nanjing Univ, Sch Management & Engn, Nanjing 210093, Jiangsu, Peoples R China
基金
国家教育部科学基金资助;
关键词
Simulation; Disaster spread; Bulk yard; Multi-agent system; Emergency management; FIRE SPREAD; MODEL; MANAGEMENT; BEHAVIOR; FRAMEWORK; SYSTEMS; DESIGN;
D O I
10.1016/j.ins.2014.12.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To design and verify disaster rescue programs in cases of disaster spread, this study presents a base application tool for the simulation, assessment and analysis of disaster spread in a complex resource network based on a multi-agent system (MAS). Various yards, warehouses, distribution centers and other storage nodes are typical resource-intensive sites at which catastrophes and disasters, such as fires and chemical leakage, are prone to occur and spread. Resources are stored in block units called resource nodes. Each resource node is represented by an agent in an MAS. A resource network (network of resource storage nodes) is formed from the disaster spread relationships among resource nodes. Disaster spread simulation and rescue time analysis in resource networks are key problems in disaster prevention and relief. Based on the principles of disaster spread in resource networks, a property model of resource nodes is proposed that incorporates the values of the resources, the disastrous energy of each node, the disaster spread path, and the disaster spread characteristics. To study the dynamics of disaster spread, a state diagram is used to construct a microscopic behavior model for the resource nodes by regarding the resource nodes as agents. Then, decision models are gradually constructed to determine the optimal times for disaster rescue and emergency resource preparation. The proposed models are demonstrated using a multi-layer simulation system.. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:118 / 135
页数:18
相关论文
共 57 条
  • [1] A decision-support system for the design and management of warehousing systems
    Accorsi, Riccardo
    Manzini, Riccardo
    Maranesi, Fausto
    [J]. COMPUTERS IN INDUSTRY, 2014, 65 (01) : 175 - 186
  • [2] Service network design with asset management: Formulations and comparative analyses
    Andersen, Jardar
    Crainic, Teodor Gabriel
    Christiansen, Marielle
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2009, 17 (02) : 197 - 207
  • [3] A convection model for fire spread simulation
    Asensio, MI
    Ferragut, L
    Simon, J
    [J]. APPLIED MATHEMATICS LETTERS, 2005, 18 (06) : 673 - 677
  • [4] Assessing a Stochastic Fire Spread Simulator
    Braun, Willard J.
    Woolford, Douglas G.
    [J]. JOURNAL OF ENVIRONMENTAL INFORMATICS, 2013, 22 (01) : 1 - 12
  • [5] Land-use simulation as a supporting tool for flood risk assessment and coastal safety planning: The case of the Belgian coast
    Canters, Frank
    Vanderhaegen, Sven
    Khan, Ahmed Z.
    Engelen, Guy
    Uljee, Inge
    [J]. OCEAN & COASTAL MANAGEMENT, 2014, 101 : 102 - 113
  • [6] Disruption management in distributed enterprises: A multi-agent modelling and simulation of cooperative recovery behaviours
    Cauvin, A. C. A.
    Ferrarini, A. F. A.
    Tranvouez, E. T. E.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2009, 122 (01) : 429 - 439
  • [7] Dynamic modeling of fire spread in building
    Cheng, Hao
    Hadjisophocleous, George V.
    [J]. FIRE SAFETY JOURNAL, 2011, 46 (04) : 211 - 224
  • [8] The modeling of fire spread in buildings by Bayesian network
    Cheng, Hao
    Hadjisophocleous, George V.
    [J]. FIRE SAFETY JOURNAL, 2009, 44 (06) : 901 - 908
  • [9] Eliciting cognitive processes underlying patterns of human-wildlife interactions for agent-based modelling
    Chion, Clement
    Lamontagne, P.
    Turgeon, S.
    Parrott, L.
    Landry, J-A.
    Marceau, D. J.
    Martins, C. C. A.
    Michaud, R.
    Menard, N.
    Cantin, G.
    Dionne, S.
    [J]. ECOLOGICAL MODELLING, 2011, 222 (14) : 2213 - 2226
  • [10] A new long term load management model for asset governance of electrical distribution systems
    Dashti, Reza
    Afsharnia, Saeed
    Ghasemi, Hassan
    [J]. APPLIED ENERGY, 2010, 87 (12) : 3661 - 3667