Earthquake resilience assessment via data and automated modelling, Thessaloniki

Author: Dr. Konstantinos Skalomenos

Date published

4 September 2026

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Earthquake resilience assessment via data and automated modelling, Thessaloniki

Author

Dr. Konstantinos Skalomenos

Date published

4 September 2026

Author

Dr. Konstantinos Skalomenos

A report from a project funded by a 2021 EEFIT Research Grant: Earthquake resilience assessment of urban areas based on multiple data resources and automated scalable modelling – pilot city: Thessaloniki, Greece

This EEFIT Research Grant report assesses the earthquake resilience of central Thessaloniki using multiple data sources and automated city-scale modelling. The study develops a digital model of 1,252 buildings to estimate expected damage, functionality loss and recovery needs under different earthquake scenarios.

The report shows how automated simulation can help engineers and decision-makers identify vulnerable buildings, prioritise interventions and plan more effective recovery. It also finds that targeted pre-earthquake retrofitting of the most vulnerable buildings can be financially viable and help reduce damage and disruption.

 

Additional information

Format:
PDF
Pages:
90
Publisher:
EEFIT

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