Risk Propagation Model and Its Simulation of Emergency Logistics Network Based on Material Reliability

Int J Environ Res Public Health. 2019 Nov 23;16(23):4677. doi: 10.3390/ijerph16234677.

Abstract

Emergency logistics plays an important role in the rescue process after sudden disasters. However, in the process of emergency logistics activities, risks may arise due to scheduling problems or insufficient supply of warehouse stocks, resulting in an insufficient rescue capacity. In addition, the risk of emergency logistics is random and may exist in a certain link or throughout the whole rescue process of emergency logistics. Consequently, the disaster site may be invaded by sudden disaster risk due to the lack of necessary material supplies. The entire emergency logistics system may be destroyed and cause even greater losses as well. Based on this phenomenon, this paper introduces reliability factors of materials and combines the complex network theory to build an emergency logistics network and analyze the emergency logistics risk propagation mechanism. This paper firstly builds an emergency logistics network based on complex network theory. Then, it combines the improved epidemic model to analyze the influencing factors of risk propagation in the emergency logistics network. Finally, this paper probes into the emergency logistics risk propagation mechanisms and processes in terms of network type, material reliability, rescue speed, etc. Furthermore, this paper identifies key factors for risk control and proposes countermeasures to further spread risks, thereby reducing the risk to loss of economic life.

Keywords: SIS model; complex network; emergency logistics; risk propagation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Decision Making, Organizational
  • Disaster Planning*
  • Disasters
  • Emergencies*
  • Emergency Medical Services / organization & administration*
  • Equipment and Supplies / supply & distribution*
  • Humans
  • Models, Theoretical*
  • Reproducibility of Results
  • Risk Assessment
  • Risk Management / methods*