Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory

The pipelines that transport hazardous liquids (e.g., petroleum and petroleum products) across cities or countries are critical to the energy-supply infrastructure, and they are crucial for the reliable and secure operation of a city. Estimating the occurrence rate of serious pipeline accidents with...

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Bibliographic Details

Published in:	International journal of critical infrastructure protection Vol. 26; p. 100308
Main Authors:	Shengli, Liu, Yongtu, Liang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2019
Subjects:	Complex networks Hazardous liquid pipelines Hierarchical Bayesian model Visibility graph algorithm Visibility graph algorithm Hazardous liquid pipelines Complex networks Hierarchical Bayesian model
ISSN:	1874-5482, 2212-2087
Online Access:	Get full text
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