Urban seismic resilience mapping: a transportation network in Istanbul, Turkey

Area of Science:

• Civil Engineering
• Earthquake Engineering
• Network Analysis

Background:

• Transportation networks are vital for emergency response during seismic events.
• Accurate assessment of transportation network resilience is crucial for disaster preparedness.
• Previous studies often overlook debris-induced disruptions, impacting resilience assessments.

Purpose of the Study:

• To conduct a rigorous probabilistic analysis of seismic resilience for a transportation network in Istanbul, Turkey.
• To enhance accuracy by incorporating debris-induced network performance disruptions alongside structural damage.
• To identify critical factors influencing system resilience and map disruption inequality.

Main Methods:

• Development and application of a Bayesian network (BN) model for sophisticated probabilistic analysis.
• Quantification of the BN model using a comprehensive compilation of diverse datasets.
• Analysis of large-scale systems encompassing thousands of structures.

Main Results:

• A detailed map visualizing the resilience measure across the study area.
• Identification of specific regions experiencing greater disruption inequality.
• Quantification of the impact of both structural damage and debris on network functionality.

Conclusions:

• The developed Bayesian network model provides a robust framework for assessing seismic resilience in transportation networks.
• The methodology accounts for complex disruption modes, offering a more realistic resilience evaluation.
• The study provides generalizable models and data schemas applicable to other transportation networks globally.