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addressing climate change adaptation in regional transportation plans

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Address<strong>in</strong>g Climate Change Adaptation <strong>in</strong> Regional Transportation PlansA Guide for California MPOs and RTPAsA Risk Assessment for Five Key Assets<strong>in</strong> ChattanoogaAs part of the Chattanooga‐Hamilton CountyRegional Plann<strong>in</strong>g Agency’s (CHCRPA)<strong>climate</strong> <strong>adaptation</strong> workshop, participantsselected three assets for a vulnerability, riskassessment, and <strong>adaptation</strong> strategyexercise. For one example, the ChickamaugaLock and Dam, the group determ<strong>in</strong>ed thatthis asset could be vulnerable to three<strong>climate</strong> stressors: extreme participation,extreme temperature, and tornadoes.Dur<strong>in</strong>g the workshop, participantscollaboratively created a risk assessment and<strong>adaptation</strong> matrix for this asset (and the twoothers) that identified potential impacts,consequences, frequencies, and <strong>adaptation</strong>strategies. Additionally, the group created alist of <strong>adaptation</strong> strategies that can beapplied to a range of <strong>regional</strong> <strong>transportation</strong>assets.Source: Cambridge Systematics, Inc.,December 2012.An extremely critical asset may warrant a higherstandard of risk management than an asset thatcarries little volume, has a high degree ofredundancy, and/or does not provide exclusiveaccess to highly important dest<strong>in</strong>ations. Where astandard scenario already exists as a legacy ofprevious vulnerability assessments, the agencymay wish to leverage that work, even if it wasperformed for a different sector.Another approach to the challenge of manag<strong>in</strong>guncerta<strong>in</strong>ty is to conduct the assessment us<strong>in</strong>gmultiple scenarios. This process, while moreresource <strong>in</strong>tensive, allows for the test<strong>in</strong>g andcomparison of outcomes stemm<strong>in</strong>g from differ<strong>in</strong>gscenarios. With a better understand<strong>in</strong>g of therange of potential impacts, consequences, andfrequencies/likelihoods, decision-makers may feelmore comfortable formulat<strong>in</strong>g strategies thatbalance risk mitigation and resources. The rightapproach will differ based on the circumstances ofeach agency.With the stressor scenario(s) chosen, two basic testscan be employed to determ<strong>in</strong>e stressor exposure,although techniques for apply<strong>in</strong>g these tests areopen to significant discretion:1. Geospatial. Exposure can be determ<strong>in</strong>ed geospatially if the stressor underconsideration is itself geospatial (can be drawn on a map). Such stressors<strong>in</strong>clude sea-level rise, storm surge, and <strong>in</strong>land flood<strong>in</strong>g, although bothtemperature and ra<strong>in</strong>fall projections vary by location and can be representedon a map as well. S<strong>in</strong>ce assets too are physical, and are presented with a highdegree of spatial precision <strong>in</strong> many Caltrans GIS Data Library layers and onother maps (such as floodpla<strong>in</strong> maps), assets and stressors can be overlaid todeterm<strong>in</strong>e areas of physical co<strong>in</strong>cidence. This technique, when performed <strong>in</strong>a GIS, is called an “<strong>in</strong>tersection.” Intersections can be two-dimensional or,preferably, three dimensional where LiDAR or other topographical data isavailable. Where elevations of <strong>transportation</strong> or flood hazard <strong>in</strong>frastructureare known, they can be <strong>in</strong>tegrated <strong>in</strong>to the GIS to further enhance theaccuracy of the <strong>in</strong>tersection analysis.A buffer zone (an extension of the actual mapped boundaries of stressors andassets) can be applied to <strong>in</strong>crease the results of the <strong>in</strong>tersection analysis. Thismay be warranted when agencies are concerned about underestimation ofexposure, either due to data <strong>in</strong>sufficiency, a perceived under-representationof stressor coverage, or a lower appetite for risk than mapped data cansupport. For example, if an agency is concerned about the future effects ofCambridge Systematics, Inc. 11-3

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