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ORANGE REGIONAL GREENHOUSE GAS EMISSIONS INVENTORY AND REDUCTION PLAN SCOPE OF WORK - PAGE 4 The consultant will use the most up to date , generally accepted socio - economic forecasts for Orange County and growth and development forecasts from the Triangle Regional Model ( TRM ) . Projections of housing units will be used to estimate greenhouse gas emissions for the residential sector in the target year . Employment projections will be used to forecast emissions for the commercial and industrial sectors . Greenhouse gas emissions for the transportation sector will be projected based on forecasts of VMT used in the development of the Durham - Chapel Hill - Carrboro ( DCHC ) Metropolitan Planning Organization ( MPO ) 2025 Long Range Transportation Plan ( LRTP ) . Solid waste emissions will be projected using the population forecasts and waste generation data available from the County Solid Waste Management Department . Task 3. Reduction Target. IF After the emissions inventory and forecasting activities are completed , the consultant will facilitate public processes for discussing greenhouse gas emissions reduction goals and establishing a reduction target from . base year levels consistent with DCHC 2025 LRTP objectives and strategies . The consultant will analyze the effect of several potential reduction scenarios to assist the stakeholders in selecting the greenhouse gas reduction target for the Local Action Plan . The Air Quality Advisory Group will recommend a final reduction target . Task 4. Reduction Measures. The consultant will compile a list of potential emissions reductions measures that the community could implement in coordination with the Greenhouse Gas Emissions Local Action Plan proposed for the City of Durham , an adjacent jurisdiction . The reduction measures are to be selected , and their impacts determined based on data provided by ICLEI , case studies of other US cities , and accepted values published by various federal and state agencies , and nonprofit organizations . The consultant will analyze each potential greenhouse gas reduction measure using the best technical information available regarding the expected reduction for a particular measure to quantify reduction results . Assumptions will be presented regarding the extent and success of implementation of these measures . Assumptions regarding implementation are to be based on case studies from other cities within the US , data from ICLEI , or estimates based on the applicability of the measure to this region . The consultant will develop an estimate of implementation costs for each measure , and present the most effective measure for reducing transportation - related greenhouse gas emissions .