Develops a quantum-percolation DPC metric that ranks critical areas in transport networks by continuous propagation loss, applied to Sioux Falls and post-Irma Florida networks where it differs from classical percolation and other centrality measures.
Transportation Research Part A: Policy and Practice 81, 16–34
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Mathematical analysis based on the Macroscopic Fundamental Diagram proves road transportation networks are fragile, with a skewness indicator for cross-network comparison and simulations showing stochastic reinforcement.
citing papers explorer
-
Quantum percolation based dynamic propagation connectivity for critical-area identification in transport networks
Develops a quantum-percolation DPC metric that ranks critical areas in transport networks by continuous propagation loss, applied to Sioux Falls and post-Irma Florida networks where it differs from classical percolation and other centrality measures.
-
The fragile nature of road transportation networks
Mathematical analysis based on the Macroscopic Fundamental Diagram proves road transportation networks are fragile, with a skewness indicator for cross-network comparison and simulations showing stochastic reinforcement.