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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 RTPAsAlthough there are no strict requirements, generally boundaries can be def<strong>in</strong>edus<strong>in</strong>g the follow<strong>in</strong>g guidel<strong>in</strong>es:Regional. Includ<strong>in</strong>g the entire MPO or RTPA geography may provide themost comprehensive geographic coverage, but may necessitate sacrifices <strong>in</strong>the quantity, type, and scale of data used to populate the <strong>in</strong>ventory. Forexample, lower roadway functional classifications, such as local access roads,might be omitted or suppressed <strong>in</strong> order to shift resources to more criticalroadways, such as freeways and other pr<strong>in</strong>cipal arterials. Corridor. Corridors can be oriented to the <strong>transportation</strong> system(represent<strong>in</strong>g a thick backbone of roadway or multimodal <strong>in</strong>frastructure, for<strong>in</strong>stance), or emphasize economic, social, or natural features. A corridor canbeg<strong>in</strong> and term<strong>in</strong>ate with<strong>in</strong> a s<strong>in</strong>gle region, or run through multiple regions.The choice of corridor boundaries will depend on the objectives of the overallassessment and, aga<strong>in</strong>, on the desired scale of the analysis.Political Unit. At the level of the county or municipality, the granularity ofdata may be f<strong>in</strong>er and more directly relevant to study objectives (bicycle andpedestrian oriented <strong>in</strong>frastructure, for example, become more readilyaccessible at reduced scales). However, smaller geographic analyses maytrade a more comprehensive perspective (of network dependencies, forexample) for the ability to focus more closely on a more narrow physical area.Modal. If the study objectives focus on a s<strong>in</strong>gle or small subset of modes, itmay be appropriate to constra<strong>in</strong> the study boundary only to geographiesrelevant to that mode or modes. A study focused on general aviationairports, for example, may lead to a study area comprised of severalgeographic “islands” – although expand<strong>in</strong>g the study to assess airport accesswould require the addition of a selection of roadway layers.The choice of asset types to be <strong>in</strong>cluded will have a significant impact on theresources required for the assessment (with the exception of the “Modal”method, of course). A very extensive geography may be manageable if a limited,standardized selection of assets is <strong>in</strong>cluded (Interstates, for <strong>in</strong>stance), whereas asmall geography richly layered with modal <strong>in</strong>frastructure and other asset typesmay be very labor <strong>in</strong>tensive.Def<strong>in</strong>e Asset CategoriesConsider the Universe of Asset TypesAlthough the types and overall quantity of assets eventually <strong>in</strong>cluded <strong>in</strong> the asset<strong>in</strong>ventory will likely comprise only a small selection of the overall universe(with<strong>in</strong> the study boundaries), it is good practice to devote some time up front todef<strong>in</strong><strong>in</strong>g that universe. This step can lead to the identification of synergies oropportunities that <strong>in</strong>volve little marg<strong>in</strong>al effort (“if we’re collect<strong>in</strong>g this, why notthat as well?”); and also help prevent obvious omissions. For highlyCambridge Systematics, Inc. 9-3

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