arXiv:2606.08849cs.AI2026-06

提出一套评估城市公交系统应对中断的综合框架,助力多模式协同决策。

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

论文配图:A Resilience-as-a-Service assessment framework for coordinated disruption response in interdependent urban transit systems
图 1 · 摘自论文原文
  • 基于优化模型与仿真结合,动态评估响应策略
  • 协同方案使总成本更低、服务连续性更高
  • 适合城市交通规划者与应急管理者使用

城市公共交通中断需快速响应,但现有研究很少提供统一指标来比较不同应对方案。本文提出一种以关键绩效指标(KPI)驱动、时间索引的韧性评估框架,用于评估城市交通系统中中断应对策略的韧性。该框架融合优化模型与基于代理的仿真,考虑主线路支援时辅助线路的服务退化。不将韧性简化为单一评分,而是从脆弱性、适应性、鲁棒性、韧性损失、响应速度、成本表现、排放和公平性等维度综合评估。以巴黎大区快铁B线(RER B)为例进行验证,结果表明:协同多模式方案在服务连续性、总成本、公平性和环境表现上均优于单一模式方案;敏感性分析进一步识别出协同响应最有效的中断场景。

原文摘要 · Abstract (English)

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 It also underlays the secondary service degradation induced on helper lines when in-service vehicles are withdrawn to support the disrupted corridor.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.

交通韧性协同响应仿真评估

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