Aiming to obtain a parallel recovery strategy for the interdependent transportation-healthcare system (ITHS) after the earthquake, this study proposes a framework for the resilience assessment and enhancement of ITHS integrating functionality loss (FL), total recovery time (TRT) and resilience (R). A novel metric from the spatial accessibility measurement can effectively quantify the interdependence during the restoration process considering the travel delay and medical service reduction. The Simulated Annealing algorithm is utilized to efficiently search for an optimal parallel restoration strategy under limited resources. Various uncertainties associated with seismic damages, functional loss and restoration time of each component in the ITHS are considered and explicitly modelled. An application case in a real city is used to demonstrate the identification of the resilience-based optimal recovery strategy when the components in the ITHS exhibit disturbances. The optimal restoration strategy considering interdependence during recovery can enhance the resilience of the ITHS compared to ignoring recovery coupling. This method can support decision-makers with post-disaster reconstruction and hence significantly enhance the resilience of the ITHS.

为了获得地震后相互依存的交通-医疗保健系统（ITHS）的并行恢复策略，本研究提出了一个整合功能损失（FL）、总恢复时间（TRT）和恢复力（ITHS）恢复能力评估和增强的框架。）。考虑到旅行延误和医疗服务减少，空间可达性测量的新指标可以有效地量化恢复过程中的相互依赖性。利用模拟退火算法在有限资源下有效地搜索最优并行恢复策略。考虑并明确建模了与地震损伤、ITHS 中每个组件的功能损失和恢复时间相关的各种不确定性。使用真实城市中的应用案例来演示当ITHS中的组件出现干扰时基于弹性的最优恢复策略的识别。与忽略恢复耦合相比，考虑恢复期间相互依赖的最优恢复策略可以增强ITHS的弹性。该方法可以支持决策者进行灾后重建，从而显着增强ITHS的恢复能力。