Probabilistic-Based Consequence Analysis for Transport Networks

Donya Hajializadeh; Chia Sadik; Boulent Imam

doi:10.1007/978-3-030-73616-3_47

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Probabilistic-Based Consequence Analysis for Transport Networks

Donya Hajializadeh, Chia Sadik and Boulent Imam

18th International Probabilistic Workshop (IPW 2020), Vol.153, pp.615-625

Lecture Notes in Civil Engineering, 153

18th International Probabilistic Workshop (IPW 2020) (Online, 12/05/2021–14/05/2021)

08/05/2021

DOI: https://doi.org/10.1007/978-3-030-73616-3_47

Abstract

Consequences

Performance

Probabilistic

Transport network

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.

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Title: Probabilistic-Based Consequence Analysis for Transport Networks
Creators: Donya Hajializadeh - University of Surrey, School of Sustainability, Civil and Environmental Engineering
Chia Sadik - University of Surrey, School of Sustainability, Civil and Environmental Engineering
Boulent Imam - University of Surrey, School of Sustainability, Civil and Environmental Engineering
Publication Details: 18th International Probabilistic Workshop (IPW 2020), Vol.153, pp.615-625
Conference: 18th International Probabilistic Workshop (IPW 2020) (Online, 12/05/2021–14/05/2021)
Series: Lecture Notes in Civil Engineering; 153
Publisher: Springer International Publishing
First online publication date: 08/05/2021
Grant note: SIRMA project is co-financed by the INTERREG Atlantic Area Programme through the European Regional Development Fund (ERDF) with application code: EAPA_826/2018.
Identifiers: 99693660902346
Academic Unit: School of Sustainability, Civil and Environmental Engineering
Language: English
Resource Type: Conference proceeding

Probabilistic-Based Consequence Analysis for Transport Networks

Abstract

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