Laserfiche WebLink
CITY OF PLEASANTON CLIMATE ACTION PLAN UPDATE <br /> Scenarios will be based on available information, including 1) current and historical emissions trends, 2)outputs from <br /> existing models, such as regional transportation models,3)external factors,such as regional utility plans and state and <br /> federal policies,and 4)forecasted changes in demographics.The scenarios would include a forecast based on expected <br /> growth under a business-as-usual (BAU)scenario, as well as an adjusted forecast which would include existing <br /> legislative adjustments such as SB-100, EV adoption, clean fuels,and Title 24.The adjusted and business-as-usual <br /> forecast model will be used to conduct a gap analysis after targets are set under Task 5,discussed below.The forecasts <br /> will allow us to determine the GHG reductions required for the City of Pleasanton to meet their goals for the years <br /> listed above. <br /> Deliverables: <br /> • GHG forecast(BAU and adjusted) <br /> • Draft and final forecast memo <br /> • Technical appendix with forecast data and assumptions <br /> • Forecast tool and presentation <br /> Task 5 — Evaluate and recommend GHG emission reduction targets <br /> We will use the City's existing GHG emissions inventories to generate per-capita and gross reduction targets in line with <br /> SB-32 and B-30-15. Per-capita emissions targets are well established by the state through the 2017 Scoping Plan and <br /> may provide a more accurate portrayal of Pleasanton's emission changes over time due to the ability to normalize <br /> population fluxes.This will be especially important in light of the significant population growth of the City, something <br /> we have addressed while updating targets for neighboring high-growth cities like Dublin.These per-person estimates <br /> can also be translated into"per service person"(employees+population) projections.Our team will conduct a <br /> complete analysis of both options and present them to the City for approval.We will also evaluate targets associated <br /> with EO B-55-18 in the preliminary target analysis(carbon neutral by 2045), as this target will likely be codified by the <br /> state in the future and may supersede 2050 targets associated with EO-S-3-05(80%below 1990 levels by 2050). <br /> Deliverables: <br /> • Draft and final memo with City-approved targets for 2030, 2045(optional), and 2050 <br /> Task 6 — Recommend guiding principles and co-benefits <br /> Once the updated GHG reduction targets are in place,the City will need to clarify the process for selecting which <br /> strategies and actions to choose to meet the targets.To assess the suitability, impact,and comparative cost of tailored <br /> strategies,we will evaluate and rank strategies using multi-criteria analysis based on City input around its guiding <br /> principles and high-priority co-benefits.Criteria for evaluating options may include: <br /> • Effectiveness, including emissions-reduction and/or resilience-building potential and the potential for coordination <br /> and collaboration with stakeholders and partners. <br /> • Cost, including affordability and expenditure timeframe. <br /> • Realization of co-benefits(e.g., public health, quality of life, employment) <br /> • Equity in the distribution of benefits and consideration of disadvantaged populations. <br /> • Feasibility, including degree of City control, regulatory constraints,and technological considerations. <br /> • Buy-in from relevant internal departments and support from external partners and the community. <br /> • Urgency,given windows of opportunity in planning and policymaking and the timing of climate impacts. <br /> We recommend including the full range of evaluation criteria,while applying weights to prioritize them according to <br /> City needs, goals, and values.We will facilitate the prioritization process and advise on the implications of different <br /> weighting scenarios. Once the criteria are finalized,we will create an evaluation framework to guide the strategy <br /> prioritization phase in Task 7.We propose using Excel to create a dynamic framework with built-in weighting factors: <br /> C ASCADIA 6 <br />