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Finally, we demonstrate that the networks designed using our model are less conservative and more robust to disruption compared with those designed based on other robustness measures.
Our proposed robustness measures are entirely based on these values.
More precisely, we provide the following robustness measures for each parameter variation.
According to both robustness measures, clustering (text {C}_3) performs better throughout the perturbation scenarios.
The purpose of this paper is to provide passenger robustness measures for a rail transit network.
So the proposed measure has less computational burden than many of similar robustness measures.
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The proposed approach guarantees robust stability once a condition depending on the robustness measure is satisfied.
Hence, is an imperceptibility measure, while is a robustness measure.
We thank the editor for suggesting this robustness measure.
A robustness measure to evaluate robustness strength of a network was proposed.
Dewilde et al. [143] introduced the minimizing the real travel time as a practical robustness measure.
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