Quantifying the Seismic Resilience of the Transportation Network in the Lower Mainland, BC

预计大温哥华地区将发生大地震，考虑到当地通勤和商业交通的性质，每天有超过90万辆汽车穿越几个河流路口和超过678公里的主要道路，本研究项目将与当地、地区和联邦合作伙伴合作，研究卑诗省低陆平原交通网络的抗震能力。低陆平原地区的地震活动不仅影响到遭受地震物理冲击的直接地区，而且影响范围更广，因为该地区的交通网络对全省、联邦和国际的供应链和贸易至关重要。该项目将开发一个多式联运系统（即依赖于道路基础设施的模式）的生活网络分析模型，以检查大地震的影响。开发一个网络分析模型，以评估关键结构部件（如桥梁、挡土墙等）、相互依存的基础设施的反应，以及对道路和旅行时间的影响，将是该地区的一项新努力。具体而言，通过该项目获得的新技术知识将用于(1)确定相互依赖关系并制定政策建议，以提高区域地震恢复能力，(2)优先考虑关键结构部件的修复工作，以及(3)计算测试当前应急程序的有效性。此外，这项工作的合作伙伴团队将利用研究结果，通过以下方式提高社会的地震恢复能力：(1)减少通勤者的交通中断，(2)努力确保货物的可靠流动和供应链的恢复能力，以及(3)通过应急规划缩短恢复时间。在发生地震紧急情况时，改善整个区域的人员流动计划将有助于建立一个更具复原力的社会。

In anticipation of a major earthquake in Metro Vancouver and given the nature of local commuter and commercial traffic, with over 900,000 daily vehicle trips across several river crossings and over 678 km of major roads, this research project will examine the seismic resilience of the transportation network in the Lower Mainland, BC, in partnership with local, regional, and federal partners. Earthquake activity in the Lower Mainland affects not only the immediate area where the physical impacts of an earthquake are experienced but has wider effects because the region's transportation network is critical to the supply chain and trade provincially, federally and internationally. This project will develop a living network analysis model of the multi-modal transportation system (i.e., modes that rely on road infrastructure) that examines the effects of a major earthquake. Developing a network analysis model that can be subjected to a wide range of earthquake scenarios to evaluate the response of critical structural components (e.g., bridges, retaining walls, etc.), interdependent infrastructure, and impacts on pathways and travel times will be a novel endeavour for the region. Specifically, the new technical knowledge gained through this project will be used (1) to identify interdependencies and develop policy recommendations for enhancing regional seismic resilience, (2) to prioritize rehabilitation efforts of key structural components, and (3) to computationally test the effectiveness of current emergency procedures. Further, the team of partners for this work will use the results of the study to improve societal seismic resilience by (1) reducing traffic disruptions for commuters, (2) working to ensure reliable movement of goods and resilience of the supply chain, and (3) improving recovery time through emergency planning. Improving plans for the movement of people across the region in the event of an earthquake emergency will contribute to a more resilient society.