Road networks, especially those built in an extreme environment, are at risk of service failure after long-term exposure to various types of disruptive events. With growing costs of service failure, it has become increasingly important to evaluate the dynamic operability characteristics, i.e., the dynamic resilience, of road networks. However, existing studies in this field generally considered a one-time disaster event during a relatively short period, and thus became insufficient for assessing the resilience of road networks in an extreme environment with frequent disaster events. This paper aims to propose a Time-dependent Resilience Analysis Framework (TIDRAF) by modeling the dynamic resilience of a road network in an extreme environment (where there are frequent disruptive events) and sequential repair actions. The original resilience triangle diagram is extended into a long-term paradigm to fit the road network with its frequent-disaster environment. The road network in the Tibetan Plateau, which has for years severely suffered from frequent disaster events, was selected as the case to validate the proposed TIDRAF. Based on the results of the analysis, three optimization strategies are presented to improve the resilience of the network against failures.

道路网络，尤其是在极端环境中构建的道路网络，在长期暴露于各种类型的破坏性事件后，存在服务故障的风险。随着服务故障成本的增加，评估道路网络的动态可操作性（即动态弹性）变得越来越重要。但是，该领域的现有研究通常认为是在相对较短的时间内发生的一次灾难事件，因此不足以评估在频繁发生灾难事件的极端环境中道路网络的复原力。本文旨在通过对极端环境（频繁发生破坏性事件）和顺序修复措施中道路网络的动态弹性建模，提出一种时变弹性分析框架（TIDRAF）。原始的弹性三角图被扩展为一个长期范例，以使其道路网络具有频繁发生灾害的环境。选择了多年遭受频繁灾害事件严重破坏的青藏高原公路网作为验证提议的TIDRAF的案例。根据分析结果，提出了三种优化策略，以提高网络抵御故障的能力。