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机构地区:[1]兰州交通大学交通运输学院,甘肃兰州730070
出 处:《物流科技》2016年第12期29-34,共6页Logistics Sci-Tech
摘 要:近年来,灾害事件的频频发生,对于应急救援的要求愈来愈高,科学合理地构建应急物流网络,不仅能够降低应急救援长度,同时也是迅速完成应急救援的基本保障。文章正是通过复杂网络理论,对构建的应急物流网络中节点的度及其概率进行统计分析,最后通过分析发现应急物流网络节点的度的分布是满足幂率分布的,其符合无标度网络的特性。对应急物流网络无标度特性的证明,不仅为构建合理的应急物流网络提供了科学依据,同时对于缩短应急救援的时间,降低灾害程度有重要作用。In recent years, the frequent occurrence of disas-- ters, the increasingly high demand for emergency rescue, sci- entific and reasonable construction of emergency logistics net-work, not only can reduce the length of emergency revue, but also the basic guarantee for the rapid completion of emer- gency rescue. In this paper, based on the theory of complex network, the degree and probability of nodes in the emergency logistics network are analyzed statistically. Finally, it is found that the degree distribution of emergency logistics network node satisfies the power-free distribution, which conforms to scale-free network. The proof of emergency logistics network not only provides scientific basis for constructing reasonable e- mergency logistics network, but also plays an important role in shortening in the time of emergency rescue and reducing thedegree of disaster.
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