Transportation infrastructure resilience is an important component of a region’s ability to recover from natural disasters. While Sea Level Rise (SLR) is becoming inevitable with climate change, little is known of the impact of protection strategies on multiple modes of transport. The present paper proposes a framework where a range of coastal protection strategies are undertaken in the case of one meter of SLR (expected by the year 2100). The methodology incorporates high-resolution hydrodynamic simulations using the Coastal Storm Modeling System (CoSMoS) and traffic simulations using the Multi-Agent Transport Simulation (MATSim) to quantify the potential impact of SLR and protection strategies on both the highway and public transit systems in the San Francisco Bay Area.

The results of the traffic simulations are analyzed at the regional and Transportation Analysis Zone (TAZ) levels. Modeling results show that coastal protection of one area will affect the transportation system (sometimes negatively) in areas beyond its vicinity. The improved spatial resolution, and the integration of highway and transit networks in a unified model, reveal transportation phenomena that were not identified in previous studies. By quantifying the impacts on commuters’ mobility in different TAZs, the methodology can be used to develop effective and inclusive strategies against SLR for a given region of interest.

运输基础设施的复原力是该地区从自然灾害中恢复的能力的重要组成部分。尽管随着气候变化海平面上升（SLR）变得不可避免，但对于保护策略对多种运输方式的影响知之甚少。本文提出了一个框架，在此框架下，对于单米单反相机（预计到2100年），将采取一系列海岸保护策略。该方法结合了使用沿海风暴建模系统（CoSMoS）的高分辨率水动力模拟和使用多代理运输模拟（MATSim）的交通模拟，以量化SLR和保护策略对公路和公共交通系统的潜在影响。旧金山湾区。

在区域和交通分析区（TAZ）级别分析交通模拟的结果。模拟结果表明，一个地区的海岸保护将影响其附近地区的运输系统（有时会产生负面影响）。改进的空间分辨率以及公路和公交网络在统一模型中的集成，揭示了以前研究中未发现的运输现象。通过量化对不同TAZ中通勤者流动性的影响，该方法可用于针对给定的感兴趣区域开发针对SLR的有效且包容性策略。