The resilience of transportation networks, one of the most critical infrastructure in post-disaster situations, will have a significant influence on post-disaster operations, community resilience and business continuity. Consequently, understanding the resilience of transportation networks following a natural disaster is crucial. This research proposes a new Trip Resilience (TR) measure to assess the resilience of trips on road networks following a disaster, integrating all three dimensions of resilience, namely robustness, redundancy, and recovery. The methodological approach includes an analysis of existing transport resilience measures presented in the literature to assess their ability to quantify robustness, redundancy and recovery in terms of the proposed conceptual model. The analytical formulations of the individual component measures are then developed, or adapted from previous research, along with a means of integrating all three into a combined Trip Resilience (TR) measure. A case study methodological approach is then adopted to verify the practicality of the proposed measures using the outcomes from a transportation simulation of a hypothetical Alpine Fault Magnitude 8 (AF8) scenario. A Normalised Trip Resilience (NTR) measure is also proposed that converts the TR to a normalised scale that is easily understandable to decision-makers. Finally, in order to facilitate ranking of the post-disaster impact on districts, a new measure, namely the Equivalent daily number of Impacted Trips (EIT), is proposed. The proposed measure provides an opportunity for decision-makers to estimate and rank the trip resilience between each (group of) Origin-Destination pair(s) using pre- and post-disaster flow and travel time. The resulting measures were capable of being calculated from the outputs produced by the transportation simulation model in the case study, thereby verifying their practicality in real-world situations. The importance of including both robustness (represented by the number of eliminated trips) and redundancy (represented by increased travel time), over the horizon of the post-disaster recovery phase was highlighted. Eliminated trips contributed significantly in areas that were cut off and isolated post-disaster, due to a lack of alternative routes, and increased travel time contributed as more roads were reopened but the alternative routes resulted in increased travel distances and, consequently, travel time.

交通网络是灾后情况下最关键的基础设施之一，其恢复能力将对灾后运营、社区恢复能力和业务连续性产生重大影响。因此，了解自然灾害后交通网络的恢复能力至关重要。本研究提出了一种新的旅行弹性 (TR) 措施，以评估灾难后道路网络旅行的弹性，整合了弹性的所有三个维度，即稳健性、冗余和恢复。方法论方法包括对文献中提出的现有交通恢复力措施的分析，以评估它们根据提议的概念模型量化稳健性、冗余和恢复的能力。然后开发单个组件测量的分析公式，或根据之前的研究进行调整，以及将所有三个集成到组合旅行弹性 (TR) 测量中的方法。然后采用案例研究方法论，使用假设的高山断层 8 级 (AF8) 情景的交通模拟结果来验证所提议措施的实用性。还提出了标准化旅行弹性 (NTR) 措施，将 TR 转换为决策者易于理解的标准化量表。最后，为了便于对灾后对地区的影响进行排名，提出了一项新措施，即受影响的每日等效出行次数 (EIT)。拟议的措施为决策者提供了一个机会，可以使用灾前和灾后流量和旅行时间来估计和排列每个（组）起点-目的地对之间的旅行弹性。由此产生的措施能够从案例研究中的运输模拟模型产生的输出中计算出来，从而验证它们在现实世界中的实用性。强调了在灾后恢复阶段包括稳健性（以消除的旅行次数表示）和冗余性（以增加的旅行时间表示）的重要性。由于缺乏替代路线，在灾后被切断和孤立的地区减少了旅行，