addressing climate change adaptation in regional transportation plans
addressing climate change adaptation in regional transportation plans addressing climate change adaptation in regional transportation plans
Addressing Climate Change Adaptation in Regional Transportation PlansA Guide for California MPOs and RTPAscritical assets, it is necessary to consider a given strategy’s implementationfeasibility and effectiveness in the context of the risk it addresses.This process is thematically similar to the very quantitative and much more timeconsuming Benefit/Cost Analysis (BCA) process set out in the following section.Implementation feasibility is a broader means of expressing marginal cost (anaccounting of what it would take to implement the strategy above and beyondresources already or likely to be dedicated), and effectiveness modifies the riskproposition – potentially reducing the magnitude of the consequence, thelikelihood of occurrence, or both. Although not as precise (a debatable attribute)as a benefit-cost ratio, a qualitative determination that a given strategy addressesa high magnitude risk with a high degree of effectiveness and highimplementation feasibility (or, otherwise stated, low implementation barriers), isnonetheless useful in comparing the merits of adaptation strategies – aprerequisite for ranking them by priority.Benefit-Cost Based EvaluationThe Climate Change Adaptation and the Highway System (NCHRP 20-83(5))guidebook presents a climate risk adjusted Benefit-Cost Analysis (BCA)methodology as a means for “evaluating the cost-effectiveness of adaptationstrategies in meeting expected impacts, and the opportunity costs of notapplying the strategies.” This approach is sufficiently flexible for use in theCalifornia context, especially for agencies already employing BCA for projectselection. Due to its greater resource requirements, especially staff time andcapacity, the methodology is likely better applied to alternatives for a single assetor small selection of transportation assets.The framework structure incorporates several steps, which allow the user todevelop a benefit-cost ratio for a given strategy or strategies, weighted by thelikelihood of asset failure (a combination of the climate event probability and thelikelihood that the asset will withstand the event). In summary, the stepsinclude:1. Identify the most vulnerable infrastructure. This step encapsulates the assetselection process that unfolds in Module 3 and Module 4 of this document.NCHRP 20-83(5) includes a “diagnostic framework” that can also beemployed for this purpose.2. Estimate future operations and maintenance costs. This step requires theestimation of average annual operations and maintenance costs for twoscenarios: one with and one without adaptation.3. Estimate the agency costs of asset failure. This step requires estimation ofthe costs of asset failure. The definition of failure is intentionally vague, andshould be determined based on context.12-12 Cambridge Systematics, Inc.
Addressing Climate Change Adaptation in Regional Transportation PlansA Guide for California MPOs and RTPAs4. Estimate the user costs of asset failure. User costs are additional burdensplaced on passenger and goods movement due to asset failure. These costsmay include additional vehicle miles traveled, delay, congestion, etc.5. Estimate likelihood of asset failure. This step guides the user to thegeneration of year-by-year compound probabilities of failure, a function ofthe climate event likelihood and the likelihood that the asset will withstandthe event. Probabilities are generated for both the adaptation and nonadaptationscenarios.Unlike the approaches to determining the likelihood of asset failurerecommended in this document, the NCHRP 20-83(5) methodology mandates ahigh degree of precision – the approach is intended for use in a spreadsheetformat. To avoid an unrealistically precise failure probability, probabilitiespertaining to the climate event and the asset’s ability to withstand the eventcould be toggled to generate a range of likelihoods (resulting in a range of B/Cratios) or to determine the “tipping point” for taking action.6. Calculate agency benefits of the strategy. In this step, the agency benefits ofadaptation are calculated based on the inputs from Steps 2, 3, and 5.7. Calculate user benefits of the strategy. In this step, the user benefits ofadaptation are calculated based on the inputs from Steps 4 and 5. Userbenefits will increase over time as traffic volumes increase.8. Evaluate results. The guidebook suggests three options for expressing thebenefits:a. Calculate a benefit/cost ratio. The suggested applications of the B/Cratio include determining whether a given adaptation strategy is costeffective, comparing multiple adaptation strategies (ranked by ratio), orcomparing an adaptation action against another type of project (such ascapacity expansion).b. Determine a minimum benefit/cost ratio, above which a potentialstrategy becomes cost effective.c. Conduct a sensitivity analysis based on the probability and timing of anevent occurring. Toggling or creating multiple probability assumptionscan help agencies establish the tipping point for cost-effective strategies,as suggested above.Specifics for this approach, including formulae and an accompanyingspreadsheet template, are available by downloading the NCHRP 20-83(5) reportand guidebook. 2626 http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=2631 is the link toNCHRP 20-83(5). Spreadsheet template and final guide is planned for spring 2013, andhas not been posted at the time of this guide’s completion.Cambridge Systematics, Inc. 12-13
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Address<strong>in</strong>g Climate Change Adaptation <strong>in</strong> Regional Transportation PlansA Guide for California MPOs and RTPAs4. Estimate the user costs of asset failure. User costs are additional burdensplaced on passenger and goods movement due to asset failure. These costsmay <strong>in</strong>clude additional vehicle miles traveled, delay, congestion, etc.5. Estimate likelihood of asset failure. This step guides the user to thegeneration of year-by-year compound probabilities of failure, a function ofthe <strong>climate</strong> event likelihood and the likelihood that the asset will withstandthe event. Probabilities are generated for both the <strong>adaptation</strong> and non<strong>adaptation</strong>scenarios.Unlike the approaches to determ<strong>in</strong><strong>in</strong>g the likelihood of asset failurerecommended <strong>in</strong> this document, the NCHRP 20-83(5) methodology mandates ahigh degree of precision – the approach is <strong>in</strong>tended for use <strong>in</strong> a spreadsheetformat. To avoid an unrealistically precise failure probability, probabilitiesperta<strong>in</strong><strong>in</strong>g to the <strong>climate</strong> event and the asset’s ability to withstand the eventcould be toggled to generate a range of likelihoods (result<strong>in</strong>g <strong>in</strong> a range of B/Cratios) or to determ<strong>in</strong>e the “tipp<strong>in</strong>g po<strong>in</strong>t” for tak<strong>in</strong>g action.6. Calculate agency benefits of the strategy. In this step, the agency benefits of<strong>adaptation</strong> are calculated based on the <strong>in</strong>puts from Steps 2, 3, and 5.7. Calculate user benefits of the strategy. In this step, the user benefits of<strong>adaptation</strong> are calculated based on the <strong>in</strong>puts from Steps 4 and 5. Userbenefits will <strong>in</strong>crease over time as traffic volumes <strong>in</strong>crease.8. Evaluate results. The guidebook suggests three options for express<strong>in</strong>g thebenefits:a. Calculate a benefit/cost ratio. The suggested applications of the B/Cratio <strong>in</strong>clude determ<strong>in</strong><strong>in</strong>g whether a given <strong>adaptation</strong> strategy is costeffective, compar<strong>in</strong>g multiple <strong>adaptation</strong> strategies (ranked by ratio), orcompar<strong>in</strong>g an <strong>adaptation</strong> action aga<strong>in</strong>st another type of project (such ascapacity expansion).b. Determ<strong>in</strong>e a m<strong>in</strong>imum benefit/cost ratio, above which a potentialstrategy becomes cost effective.c. Conduct a sensitivity analysis based on the probability and tim<strong>in</strong>g of anevent occurr<strong>in</strong>g. Toggl<strong>in</strong>g or creat<strong>in</strong>g multiple probability assumptionscan help agencies establish the tipp<strong>in</strong>g po<strong>in</strong>t for cost-effective strategies,as suggested above.Specifics for this approach, <strong>in</strong>clud<strong>in</strong>g formulae and an accompany<strong>in</strong>gspreadsheet template, are available by download<strong>in</strong>g the NCHRP 20-83(5) reportand guidebook. 2626 http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=2631 is the l<strong>in</strong>k toNCHRP 20-83(5). Spreadsheet template and f<strong>in</strong>al guide is planned for spr<strong>in</strong>g 2013, andhas not been posted at the time of this guide’s completion.Cambridge Systematics, Inc. 12-13