Tidal flooding, a tangible, present-day result of sea-level rise, has caused roadway damage and transportation system closures as well as delays, disruptions, and economic losses. There is a need for more research, understanding, and planning for the management of this threat to transportation services. Using data on tidal flooding, transportation networks, land use, and population characteristics, the vulnerability of transportation systems to tidal flooding is assessed for Honolulu, Hawaii. Accessibility measures coupled with population characteristics provide quantitative estimates of travelers’ underlying exposures and vulnerabilities to disruptions. Using GIS and overlay mapping techniques, at-risk roadway segments are identified and Traffic Analysis Zones (TAZs) are ranked in relation to accessibility changes. Trips to work and school, grocery shopping, recreational activities, and emergency services are analyzed. In addition to identifying critical, at-risk facilities, the analysis includes the consideration of vulnerable populations, such as the elderly, young people, those on low incomes, and those with limited transportation options. Using a nonparametric, mean-shift clustering method, TAZs are ranked and prioritized for potential mitigation actions. While 90% of TAZs suffered minimal effects, several experienced up to 100% accessibility reduction. High priority areas are located in Laie, Punalua, Kailua, Waimanalo, Hawaii Kai, and near Honolulu Harbor. The analysis is useful, not just for transportation system planners but also for first responders, emergency managers, and others working to increase transportation system resilience. Designed as a flexible planning and decision-support tool, the approach could be adapted to plan for other types of hazards such as tsunamis or storm surges as well.

潮汐洪水是当今海平面上升的有形实际结果，已造成道路损坏和运输系统关闭以及延误，中断和经济损失。需要对此运输服务威胁的管理进行更多的研究，理解和计划。利用有关潮汐洪水，交通网络，土地利用和人口特征的数据，评估了夏威夷檀香山交通运输系统对潮汐洪水的脆弱性。可达性度量标准与人口特征相结合，可以对旅行者潜在的潜在威胁和破坏脆弱性进行定量估计。使用GIS和覆盖图绘制技术，可以识别高风险道路段，并根据可访问性变化对交通分析区（TAZ）进行排名。上班和上学旅行，杂货店购物，娱乐活动和紧急服务进行了分析。除了确定关键的高风险设施外，分析还考虑了弱势人群，例如老年人，年轻人，低收入人群和交通选择有限的人群。使用非参数均值漂移聚类方法，可以对TAZ进行排名并优先考虑潜在的缓解措施。尽管90％的TAZ受到的影响微乎其微，但其中一些却减少了100％的可访问性。高度优先的地区位于莱，普纳鲁阿，凯鲁瓦，怀马纳洛，夏威夷开和檀香山港附近。该分析不仅对运输系统规划人员有用，而且对急救人员，应急管理人员和其他致力于提高运输系统弹性的工作人员也很有用。