Probabilistic-Based Consequence Analysis for Transport Networks

Donya Hajializadeh; Chia Sadik; Boulent Imam

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

Probabilistic-Based Consequence Analysis for Transport Networks

Donya Hajializadeh, Chia Sadik, Boulent Imam

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	18th International Probabilistic Workshop, IPW 2020
Editors	José C. Matos, Paulo B. Lourenço, Daniel V. Oliveira, Jorge Branco, Dirk Proske, Rui A. Silva, Hélder S. Sousa
Publisher	Springer, Cham
Pages	615-625
Number of pages	11
Volume	153
ISBN (Electronic)	9783030736163
ISBN (Print)	9783030736156, 9783030736187
DOIs	https://doi.org/10.1007/978-3-030-73616-3_47
Publication status	Published - 8 May 2021
Externally published	Yes
Event	18th International Probabilistic Workshop - Virtual, Online Duration: 12 May 2021 → 14 May 2021 Conference number: 18

Publication series

Name	Lecture Notes in Civil Engineering
Publisher	Springer
Volume	153 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	18th International Probabilistic Workshop
Abbreviated title	IPW 2020
City	Virtual, Online
Period	12/05/21 → 14/05/21

Access to Document

10.1007/978-3-030-73616-3_47Licence: Unspecified

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Hajializadeh, D., Sadik, C., & Imam, B. (2021). Probabilistic-Based Consequence Analysis for Transport Networks. In J. C. Matos, P. B. Lourenço, D. V. Oliveira, J. Branco, D. Proske, R. A. Silva, & H. S. Sousa (Eds.), 18th International Probabilistic Workshop, IPW 2020 (Vol. 153, pp. 615-625). (Lecture Notes in Civil Engineering; Vol. 153 LNCE). Springer, Cham. https://doi.org/10.1007/978-3-030-73616-3_47

Hajializadeh, Donya ; Sadik, Chia ; Imam, Boulent. / Probabilistic-Based Consequence Analysis for Transport Networks. 18th International Probabilistic Workshop, IPW 2020. editor / José C. Matos ; Paulo B. Lourenço ; Daniel V. Oliveira ; Jorge Branco ; Dirk Proske ; Rui A. Silva ; Hélder S. Sousa. Vol. 153 Springer, Cham, 2021. pp. 615-625 (Lecture Notes in Civil Engineering).

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title = "Probabilistic-Based Consequence Analysis for Transport Networks",

abstract = "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.",

keywords = "Consequences, Performance, Probabilistic, Transport network",

author = "Donya Hajializadeh and Chia Sadik and Boulent Imam",

note = "Funding Information: Acknowledgements SIRMA project is co-financed by the INTERREG Atlantic Area Programme through the European Regional Development Fund (ERDF) with application code: EAPA_826/2018. Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 18th International Probabilistic Workshop, IPW 2020 ; Conference date: 12-05-2021 Through 14-05-2021",

year = "2021",

month = may,

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doi = "10.1007/978-3-030-73616-3_47",

language = "English",

isbn = "9783030736156",

volume = "153",

series = "Lecture Notes in Civil Engineering",

publisher = "Springer, Cham",

pages = "615--625",

editor = "Matos, {Jos{\'e} C.} and Louren{\c c}o, {Paulo B.} and Oliveira, {Daniel V.} and Jorge Branco and Dirk Proske and Silva, {Rui A.} and Sousa, {H{\'e}lder S.}",

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Hajializadeh, D, Sadik, C & Imam, B 2021, Probabilistic-Based Consequence Analysis for Transport Networks. in JC Matos, PB Lourenço, DV Oliveira, J Branco, D Proske, RA Silva & HS Sousa (eds), 18th International Probabilistic Workshop, IPW 2020. vol. 153, Lecture Notes in Civil Engineering, vol. 153 LNCE, Springer, Cham, pp. 615-625, 18th International Probabilistic Workshop, Virtual, Online, 12/05/21. https://doi.org/10.1007/978-3-030-73616-3_47

Probabilistic-Based Consequence Analysis for Transport Networks. / Hajializadeh, Donya; Sadik, Chia; Imam, Boulent.

18th International Probabilistic Workshop, IPW 2020. ed. / José C. Matos; Paulo B. Lourenço; Daniel V. Oliveira; Jorge Branco; Dirk Proske; Rui A. Silva; Hélder S. Sousa. Vol. 153 Springer, Cham, 2021. p. 615-625 (Lecture Notes in Civil Engineering; Vol. 153 LNCE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Hajializadeh, Donya

AU - Sadik, Chia

AU - Imam, Boulent

N1 - Conference code: 18

PY - 2021/5/8

Y1 - 2021/5/8

N2 - 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.

AB - 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.

KW - Consequences

KW - Performance

KW - Probabilistic

KW - Transport network

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A2 - Proske, Dirk

A2 - Silva, Rui A.

A2 - Sousa, Hélder S.

PB - Springer, Cham

T2 - 18th International Probabilistic Workshop

Y2 - 12 May 2021 through 14 May 2021

ER -

Probabilistic-Based Consequence Analysis for Transport Networks

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