SafePASS Project: A Risk Modelling Tool for Passenger Ship Evacuation and Emergency Response Decision Support

Evangelos Stefanou; Fotios Stefanidis; Evangelos Boulougouris; Panagiotis Louvros; Alexandros Komianos; Romain Michalec; Myo Aung; Panagiotis Sotiralis; Emmanouil  Annetis

doi:10.5281/zenodo.7674755

SafePASS Project: A Risk Modelling Tool for Passenger Ship Evacuation and Emergency Response Decision Support

Evangelos Stefanou, Fotios Stefanidis, Evangelos Boulougouris, Panagiotis Louvros, Alexandros Komianos, Romain Michalec, Myo Aung, Panagiotis Sotiralis, Emmanouil Annetis

Naval Architecture, Ocean And Marine Engineering

Research output: Book/Report › Other report

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Abstract

One of the biggest challenges in the field of maritime safety is the integration of all the systems related to the evacuation and emergency response under one Decision Support Tool that could broadly cover all the emergency cases and assist in the co-ordination of the evacuation process. Besides, for a decision support tool to be useful we need to be able to calculate the Available time to Evacuate based on real-time data, such as the passenger distribution on board and of course based on the various sensor data that will monitor the damage and its propagation. For all the above, the risk modelling tool developed in SafePASS H2020 project is able to estimate the potential fatalities both in the design phase and in real-time, assessing the evacuation and abandonment risk dynamically, based on real-time data related to the passenger distribution, route, semantics, LSA availability, procedural changes, and damage case (fire or flooding) propagation.

Original language	English
Place of Publication	Genève, Switzerland
Publisher	Zenodo
Number of pages	13
DOIs	https://doi.org/10.5281/zenodo.7674755
Publication status	Published - 24 Feb 2023

Keywords

maritime safety
evacuation
passenger vessels
risk analysis
risk model
bayesian network
event trees

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10.5281/zenodo.7674755Licence: CC BY 4.0

Stefanou-etal-2023-SafePASS-Project-A-Risk-Modelling-Tool-for-Passenger-Ship-EvacuationFinal published version, 1.28 MBLicence: CC BY 4.0

Next generation of life Saving applicances and systems for saFE and swift evacuation operations on high capacity PASSenger ships in extreme scenarios and conditions (SafePASS)
Boulougouris, E. (Principal Investigator), Theotokatos, G. (Co-investigator) & Vassalos, D. (Co-investigator)
European Commission - Horizon Europe + H2020
1/09/19 → 31/08/22
Project: Research

Cite this

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abstract = "One of the biggest challenges in the field of maritime safety is the integration of all the systems related to the evacuation and emergency response under one Decision Support Tool that could broadly cover all the emergency cases and assist in the co-ordination of the evacuation process. Besides, for a decision support tool to be useful we need to be able to calculate the Available time to Evacuate based on real-time data, such as the passenger distribution on board and of course based on the various sensor data that will monitor the damage and its propagation. For all the above, the risk modelling tool developed in SafePASS H2020 project is able to estimate the potential fatalities both in the design phase and in real-time, assessing the evacuation and abandonment risk dynamically, based on real-time data related to the passenger distribution, route, semantics, LSA availability, procedural changes, and damage case (fire or flooding) propagation.",

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AU - Boulougouris, Evangelos

AU - Louvros, Panagiotis

AU - Komianos, Alexandros

AU - Michalec, Romain

AU - Aung, Myo

AU - Sotiralis, Panagiotis

AU - Annetis, Emmanouil

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AB - One of the biggest challenges in the field of maritime safety is the integration of all the systems related to the evacuation and emergency response under one Decision Support Tool that could broadly cover all the emergency cases and assist in the co-ordination of the evacuation process. Besides, for a decision support tool to be useful we need to be able to calculate the Available time to Evacuate based on real-time data, such as the passenger distribution on board and of course based on the various sensor data that will monitor the damage and its propagation. For all the above, the risk modelling tool developed in SafePASS H2020 project is able to estimate the potential fatalities both in the design phase and in real-time, assessing the evacuation and abandonment risk dynamically, based on real-time data related to the passenger distribution, route, semantics, LSA availability, procedural changes, and damage case (fire or flooding) propagation.

KW - maritime safety

KW - evacuation

KW - passenger vessels

KW - risk analysis

KW - risk model

KW - bayesian network

KW - event trees

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SafePASS Project: A Risk Modelling Tool for Passenger Ship Evacuation and Emergency Response Decision Support

Abstract

Keywords

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Projects

Next generation of life Saving applicances and systems for saFE and swift evacuation operations on high capacity PASSenger ships in extreme scenarios and conditions (SafePASS)

Cite this