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LINES: muLtImodal traNsportation rEsilience analySis

João Tiago Aparício, Elisabete Arsénio, Francisco C. Santos, Rui Henriques

2022Sustainability21 citationsDOIOpen Access PDF

Abstract

This study aims to contribute to more sustainable mobility solutions by proposing robust and actionable methods to assess the resilience of a multimodal transport system. Resilience is seen in a dynamic lean setting, looking at aspects in the network topology and user’s flow and demand throughout a parameterizable period. We hypothesize that this network’s appropriate multi-layered and traffic-sensitive modeling can promote the integrated analysis of different transport modes and support an improved resilience analysis. We operationalize the lean resilience conceptual construct with the proposed muLtImodal traNsportation rEsilience aSsessment (LINES) methodological process. Using the city of Lisbon as a study case, we illustrate the relevance of the proposed methodology to detect actionable vulnerabilities in the bus–tram–subway network.

Topics & Concepts

OperationalizationResilience (materials science)Multimodal transportRelevance (law)Construct (python library)Computer scienceProcess (computing)Transport networkNetwork analysisFlow networkSustainabilityTransport engineeringRisk analysis (engineering)EngineeringBusinessComputer networkOperating systemMathematicsPhysicsMathematical optimizationElectrical engineeringPhilosophyPolitical scienceBiologyLawThermodynamicsEcologyEpistemologyInfrastructure Resilience and Vulnerability AnalysisRisk and Safety AnalysisSupply Chain Resilience and Risk Management
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