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Authors: Hans Wienen 1 ; Faiza Bukhsh 1 ; Eelco Vriezekolk 2 and Luís Ferreira Pires 1

Affiliations: 1 Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands ; 2 Dutch Authority for Digital Infrastructure, Netherlands

Keyword(s): Telecommunications, Accident Analysis, Incident Analysis.

Abstract: Telecommunications networks are vital enablers of modern society. Large accidents in these networks that cause their unavailability can therefore have a severe impact on the functioning of society. Learning from these accidents can help prevent them and thus make our society more resilient. In this paper, we present an accident analysis method (TRAM) which we have developed by extending the AcciMap method and we report on its application to analyse a severe accident in a telecommunications network. We validate notation for representing and breaking positive feedback loops in a network breakdown, and we suggest a method to enhance the prioritisation of recommendations derived from our analysis. Furthermore, our research reveals that splitting the analysis based on the expertise of the method’s participants negatively impacts the efficiency of the overall process.

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Paper citation in several formats:
Wienen, H.; Bukhsh, F.; Vriezekolk, E. and Ferreira Pires, L. (2024). A Cascade of Consequences: Improving an Accident Analysis Method by Learning from a Real Life Telecommunications Accident. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-707-8; ISSN 2184-285X, SciTePress, pages 62-70. DOI: 10.5220/0012762800003756

@conference{data24,
author={Hans Wienen. and Faiza Bukhsh. and Eelco Vriezekolk. and Luís {Ferreira Pires}.},
title={A Cascade of Consequences: Improving an Accident Analysis Method by Learning from a Real Life Telecommunications Accident},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA},
year={2024},
pages={62-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012762800003756},
isbn={978-989-758-707-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA
TI - A Cascade of Consequences: Improving an Accident Analysis Method by Learning from a Real Life Telecommunications Accident
SN - 978-989-758-707-8
IS - 2184-285X
AU - Wienen, H.
AU - Bukhsh, F.
AU - Vriezekolk, E.
AU - Ferreira Pires, L.
PY - 2024
SP - 62
EP - 70
DO - 10.5220/0012762800003756
PB - SciTePress

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