当代财经 ›› 2012, Vol. 0 ›› Issue (07): 1543-.

• • 上一篇    

基于网络熵的应急物流网络稳定性研究

吴六三   

  1. (南京航空航天大学 经济与管理学院,江苏 南京 211106)
  • 收稿日期:2012-08-12 发布日期:2021-01-21
  • 作者简介:吴六三,南京航空航天大学博士研究生,主要从事应急管理与国民经济动员、资源有效配置与区域经济研究;

A Study of the Stability of Emergency Logistics Network Based on Network Entropy

WU Liu-san   

  1. (Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
  • Received:2012-08-12 Published:2021-01-21

摘要: 由于自然灾害和社会公共安全事件的频繁发生,应急物流网络的稳定性问题越来越受到人们的重视。当应急事件发生后,网络的破坏对应急物品的需求量和应急物品到达的时间(或最短路)都会产生影响。为了判定应急物流网络的稳定性,我们在总结前人工作的基础上,分别针对有向网络图和无向网络图提出了网络最大流熵和网络最短路熵的概念。熵越大,应急物流网络关于这一指标的稳定性越差,反之稳定性越强。然后根据百分制的思想给出了基于网络熵的应急物流网络稳定性等级判断标准。最后用简化的江苏省城市间高速公路网络图为例来说明网络最大流熵和网络最短路熵的有效性与实用性。

关键词: 应急物流,网络稳定性,网络最大流熵,网络最短路熵,等级标准

Abstract: Due to the massive emergences of natural disasters and public safety incidents, more and more attention has been paid to the stability of emergency logistics network. When the network is destroyed in an emergent incident, the demand and the arrival time (or the shortest path) of emergency supplies will be influenced. In order to determine the stability of the emergency logistics network, this paper, based on the summary of the predecessors’ work, brings up such two concepts as the network maximum flow entropy and the network shortest path entropy towards the directed network graph and the undirected network graph respectively. The greater the network entropy, the worse the stability of the emergency logistics network on this indicator, otherwise the stronger the stability will be. Then, according to the hundred-mark system idea, this paper puts forward the grade criterion on the stability of emergency logistics network based on the network entropy. Finally, it makes use of the simplified high-way network graph between cities of Jiangsu province as an example to illustrate the validity and practicability of the network maximum flow entropy and the network shortest path entropy.

Key words: emergency logistics; network stability; network maximum flow entropy; network shortest path entropy; grade criterion