Probabilistic-Based Consequence Analysis for Transport Networks

Donya Hajializadeh, Chia Sadik, Boulent Imam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The aim of this paper is to propose a methodological framework for consequence analysis of transportation networks. The probabilistic framework is based on the definition of performance indicators that describe the time-dependent functionality of the asset/system, starting from a pre-existing normal performance state, capturing the time and evolution of disruption during and after the disruption and during the recovery/restoration stage. A proposed case study that will be used for the demonstration of the applicability of the framework is described.

Original languageEnglish
Title of host publication18th International Probabilistic Workshop, IPW 2020
EditorsJosé C. Matos, Paulo B. Lourenço, Daniel V. Oliveira, Jorge Branco, Dirk Proske, Rui A. Silva, Hélder S. Sousa
PublisherSpringer, Cham
Number of pages11
ISBN (Electronic)9783030736163
ISBN (Print)9783030736156, 9783030736187
Publication statusPublished - 8 May 2021
Externally publishedYes
Event18th International Probabilistic Workshop - Virtual, Online
Duration: 12 May 202114 May 2021
Conference number: 18

Publication series

NameLecture Notes in Civil Engineering
Volume153 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565


Conference18th International Probabilistic Workshop
Abbreviated titleIPW 2020
CityVirtual, Online


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