Title: Transport network resilience: a mapping and sensitivity analysis strategy to improve the decision-making process during extreme weather events

Authors: Beatriz Martinez-Pastor; Maria Nogal; Alan O'Connor; Rui Teixeira

Addresses: Department of Civil Engineering, University College Dublin, Ireland ' Department of Materials, Mechanics, Management and Design, Delft University of Technology, Netherlands ' Department of Civil Engineering, Trinity College Dublin, Ireland ' Department of Civil Engineering, University College Dublin, Ireland

Abstract: This paper aims to move forward in the understanding of resilience by improving the quality of available information during the decision-making process. A dynamic methodology together with a bounded travel time cost function is used to quantify the transport resilience, and an analysis of the main parameters is performed by a mapping of possible scenarios and a sensitivity analysis. Due to the complexity of the model, a recent methodology for the sensitivity analysis is presented. This approach is a bi-phase sensitivity analysis with a combination of a local and a global method. This allows an early detection of the parameters that will have a larger impact on the network performance when the hazard occurs, and together with the mapping strategy, make possible to select the best ways to increase the resilience of the transport network at any stage of the process, i.e., before during and after the damaging event.

Keywords: resilience; transport network; decision-making; vulnerability; extreme weather; mapping; sensitivity analysis; Latin hypercube sampling; LHS.

DOI: 10.1504/IJCIS.2021.10033963

International Journal of Critical Infrastructures, 2021 Vol.17 No.4, pp.330 - 352

Received: 10 Feb 2020
Accepted: 07 Jul 2020

Published online: 10 Jan 2022 *

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