A Resilience-as-a-Service assessment framework for coordinated disruption response in interdependent urban transit systems

2026-06-07

AI Summary

This study addresses the lack of a unified dynamic framework for comprehensively evaluating the resilience of urban public transport disruption response strategies. It proposes a time-indexed approach integrating key performance indicators (KPIs), combining a multi-objective optimization model with agent-based simulation of passenger behavior. For the first time, this framework systematically incorporates multiple resilience dimensions—including vulnerability, adaptability, robustness, equity, cost, and carbon emissions—and quantifies the secondary service degradation effects induced by supplementary shuttle services. Applied to the RER B line in Paris, the proposed coordinated response strategy significantly enhances service continuity, reduces total disruption costs, improves equity, and achieves competitive environmental performance, while also identifying its optimal conditions of applicability.

Abstract

Urban public transport disruptions require rapid response strategies, yet existing studies rarely provide a decision support framework to compare alternative disruption response solutions using a common set of dynamic, passenger, operator, and environment oriented indicators. This paper proposes a KPI-driven, time-indexed framework to assess the resilience of disruption response solutions in urban transit systems. The framework combines an optimization model with a behavioral evaluation in agent-based simulation. It also underlays the secondary service degradation induced on helper lines when in-service vehicles are withdrawn to support the disrupted corridor. Rather than treating resilience as a single score, it evaluates complementary dimensions including vulnerability, adaptability, robustness, resilience loss, responsiveness, cost-based performance, emissions, and equity. The framework is implemented for the RER B transit line in the Ile-de-France (Paris) network. Results show that the coordinated strategy provides the most balanced resilience profile, combining high service continuity with lower total disruption cost than single mode alternatives, while also improving equity and maintaining competitive environmental performance. Sensitivity analysis further identifies the disruption conditions under which coordinated multimodal response is most valuable.

Problem

• resilience
• urban transit systems
• disruption response
• interdependent infrastructure
• performance indicators

Innovation

• Resilience-as-a-Service
• interdependent transit systems
• agent-based simulation
• multimodal coordination
• resilience assessment framework