2021
DOI: 10.1016/j.physa.2020.125494
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Research on risk propagation method of multimodal transport network under uncertainty

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Cited by 13 publications
(5 citation statements)
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“…Firstly, since the probability of state U transitioning to state A is obtained according to the negative information function proposed by Ran [29], it has a certain degree of subjectivity. Simulations with real data [31] and improvements to the probability function should be considered. Secondly, the values of parameters in the numerical simulation were set based on the experience summed up in previous research on supply chain risk diffusion [8,9,32], and there is a certain difference from real events.…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, since the probability of state U transitioning to state A is obtained according to the negative information function proposed by Ran [29], it has a certain degree of subjectivity. Simulations with real data [31] and improvements to the probability function should be considered. Secondly, the values of parameters in the numerical simulation were set based on the experience summed up in previous research on supply chain risk diffusion [8,9,32], and there is a certain difference from real events.…”
Section: Discussionmentioning
confidence: 99%
“…Transportation-related risk management research mainly includes supply chain logistics related risks [36][37][38][39], risk assessment of cross-border transport infrastructure projects [40], safety risk assessment based on multimodal transport networks [41], assessing hazmat risk at nodes of transport networks [42], risk propagation method research of multimodal transport networks under uncertainty [43], risk perception in transport [44], cruise ship safety management in Asian regions [45], and cascading failures and attack strategies of multimodal transport networks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The risk propagation between CPSs is examined in [16] based on logical equations and using attack trees; the examined relationships are between parent and children nodes. The risk propagation within a transport network under various types of attacks was analyzed in [17], using the percolation theory. The risk and threat propagation in Unmanned Aerial Vehicles and in particular the aggregation process of the threats from the cyber to the physical domain were discussed in [18].…”
Section: Related Workmentioning
confidence: 99%