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TRAM: The Telecommunications-Related AcciMap Method.

Hans C A Wienen¹, Faiza A Bukhsh¹, Eelco Vriezekolk²

¹Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Drienerlolaan 5, 7522 NB Enschede, Overijssel The Netherlands.

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|January 16, 2026

Summary

This summary is machine-generated.

Telecommunications Related AcciMap (Tram) enhances societal resilience by analyzing telecom accidents. Careful process partitioning is crucial for efficient accident analysis and mitigation strategies.

Keywords:

AcciMap method Accident analysis Cyber incidents Incident analysis Telecommunications

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Area of Science:

Network Engineering
Societal Resilience Studies
Accident Analysis Methodologies

Background:

Telecommunication networks are critical infrastructure; disruptions impact society.
Existing accident analysis methods may not fully address telecom-specific complexities.
Societal resilience depends on robust and reliable telecommunication systems.

Purpose of the Study:

To present Tram (Telecommunications Related AcciMap), an advanced accident analysis method for telecommunication networks.
To enhance the mitigation and prevention of future accidents, thereby improving societal resilience.
To validate the latest iteration of the Tram method for comprehensive telecom accident analysis.

Main Methods:

Literature review of state-of-the-art accident analysis techniques.
Iterative development and validation of the Tram method, starting from the AcciMap framework.
Application of the latest Tram version to real-life telecommunication accidents.

Main Results:

Tram is a validated method for comprehensive telecom accident analysis.
The latest Tram version incorporates positive feedback loop analysis and recommendation prioritization.
Analysis partitioning by participant expertise can reduce process efficiency.

Conclusions:

Tram is suitable for analyzing and learning from telecommunication accidents.
The method effectively supports the enhancement of societal resilience through improved accident mitigation.
Careful consideration of analysis process partitioning is recommended for optimal efficiency.