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Int. J. Environ. Res. Public Health 2018, 15(1), 79; https://doi.org/10.3390/ijerph15010079

On the Simulation-Based Reliability of Complex Emergency Logistics Networks in Post-Accident Rescues

1
College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
2
School of Public Administration, Hohai University, Nanjing 210098, China
3
Business School, Sichuan University, Chengdu 610065, China
*
Author to whom correspondence should be addressed.
Received: 14 November 2017 / Revised: 28 December 2017 / Accepted: 2 January 2018 / Published: 6 January 2018
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
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Abstract

This paper investigates the reliability of complex emergency logistics networks, as reliability is crucial to reducing environmental and public health losses in post-accident emergency rescues. Such networks’ statistical characteristics are analyzed first. After the connected reliability and evaluation indices for complex emergency logistics networks are effectively defined, simulation analyses of network reliability are conducted under two different attack modes using a particular emergency logistics network as an example. The simulation analyses obtain the varying trends in emergency supply times and the ratio of effective nodes and validates the effects of network characteristics and different types of attacks on network reliability. The results demonstrate that this emergency logistics network is both a small-world and a scale-free network. When facing random attacks, the emergency logistics network steadily changes, whereas it is very fragile when facing selective attacks. Therefore, special attention should be paid to the protection of supply nodes and nodes with high connectivity. The simulation method provides a new tool for studying emergency logistics networks and a reference for similar studies. View Full-Text
Keywords: complex network; emergency logistics network; reliability; simulation analysis of attacks complex network; emergency logistics network; reliability; simulation analysis of attacks
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Wang, W.; Huang, L.; Liang, X. On the Simulation-Based Reliability of Complex Emergency Logistics Networks in Post-Accident Rescues. Int. J. Environ. Res. Public Health 2018, 15, 79.

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