2022
DOI: 10.1016/j.ress.2021.108183
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Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach

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Cited by 86 publications
(27 citation statements)
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“…The term "knowledge-based supply chain" was derived from the term "knowledge-based economy," which describes an advanced economy with a greater reliance on knowledge, information, and high skill levels, as well as an increasing need for business and government sectors to have ready access to all of these. Knowledge-based supply chains are those that make extensive use of cutting-edge technology and heavily depend on data, knowledge, information, and people skills as the cornerstone for inventive operations, and as such, are crucial to the knowledge economy's overall strategy (Yin et al, 2022).…”
Section: Knowledge-based Supply Chainmentioning
confidence: 99%
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“…The term "knowledge-based supply chain" was derived from the term "knowledge-based economy," which describes an advanced economy with a greater reliance on knowledge, information, and high skill levels, as well as an increasing need for business and government sectors to have ready access to all of these. Knowledge-based supply chains are those that make extensive use of cutting-edge technology and heavily depend on data, knowledge, information, and people skills as the cornerstone for inventive operations, and as such, are crucial to the knowledge economy's overall strategy (Yin et al, 2022).…”
Section: Knowledge-based Supply Chainmentioning
confidence: 99%
“…4.0 technologies signi cantly reduce supply-demand mismatches, process hazards, and supply chain disruptions. This real-time information enables businesses to respond more quickly to supply chain interruptions and minimize risk (Yin et al, 2022). Placing supply chains online can help businesses achieve the next tier of operational performance while also saving money (Yadav et al, 2021).…”
Section: Knowledge Based Supply Chains and Fscm Challengesmentioning
confidence: 99%
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“…Many studies on this topic mainly focus on the following aspects: (1) the topological characteristics of the entire network [18], such as the small-world [19,20] and scale-free [21,22] effects, which are analyzed on the basis of the classical statistical indicators [23] of complex networks, such as the average shortest path length or diameter, network efficiency, density, assortativity [24,25], etc. ; (2) the topological features or node importance [26,27] of metro stations, which are evaluated on the basis of the centrality parameters of network nodes [17], such as the degree centrality (DC) [28], betweenness centrality (BC) [29], closeness centrality (CC) [29], eigenvector centrality (EC) [8,28] and PageRank (PR) [30]; (3) the vulnerability [31][32][33][34], robustness [35][36][37] and resilience [38][39][40][41] of the metro-complex network, which are evaluated on the basis of (1) and ( 2); (4) the dynamic evolution law of a network or node, which is studied, and the rationality of the network development, which is assessed [42][43][44][45]; (5) the characteristics of the metro complex network with weighted passenger flow and traffic flow, which are analyzed [4,8,46].…”
Section: Introductionmentioning
confidence: 99%