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<br /> <br /> <br /> <br /> <br /> <br />next review <br />to used in the planning process in similar to use In <br />plans to use a new project based model to evaluate future <br />thresholds, It is also envisioned that this new model win be used to <br />evaluate of incentive packages proposed as part of the County's industrial recruitment <br />effort. Howard County is continuing to integrate fiscal impact analysis into the planning process <br />innovative ways. <br /> <br /> <br /> <br /> <br />B. Loudoun County, Virginia <br /> <br />In 1 during the mitial stages preparation of the Loudoun <br />County retained the Govemment Finance Research Center (GFRC) to develop a comprehensive fiscal <br />impact analysis model for use in determining the costs of growth. The model was to have twin functions, <br />being applicable to both countywide and project analyses, Fiscal impact analysis was used to evaluate <br />altemative countywide development scenarios related to the pattern and pace of development in the <br />preparation of the new comprehensive plan. It was also fundamental to the development of proffer <br />guidelines to be applied during rezonings. Model outputs of various alternatives were discussed during <br />plan adoption, but fiscal analysis was only one of many policy considerations and did not drive the <br />debate. The adopted plan required an annual review and update of the fiscal impact model, indicating <br />that it was seen as integral to the continuing planning process. <br /> <br />Dimensions of the Model - The Loudoun County Fiscal Impact Model (FIM) was specifically designed <br />for application in Loudoun County, The FIM featured inter-dependent modules which incorporated <br />demographic, revenue, capital, and service level assumptions, County staff were directly involved in <br />developing or verifying the assumptions associated with each of these modules, Loudoun's model was <br />significantly more complex than most other fiscal impact models in use at that time, <br /> <br />The demographic module contained approximately 125 growth-related variables. The assumptions <br />associated with each variable were explicit and included such factors as pupil generation rates by <br />housing unit type, employment per square foot by type of commerciallindustrial use, real income <br />growth, etc. The flexibility of the model enabled analysts to vary many assumptions, including unit mix, <br />absorption rates, and prices/values of new construction, The Loudoun County FIM provided both <br />substantial detail and flexibility, It also incorporated local economic and market factors as they related to <br />projected development. <br /> <br />The tax rate was modeled as a dependent variable, with capital and services expenditures based on <br />projected development as the independent variables, The revenue module also permitted analysis of the <br />fiscal impacts of constant tax rates on the capital and services budgets. The FIM could be used as a <br />budget analysis as well as development analysis tool. <br /> <br />Service expenditures were calculated using a method similar to that used in Howard County - average <br />per capita costs for most factors, with school costs based on the marginal costs for students generated by <br />the new units to be built each year. The Loudoun FIM additionally incorporated a number of embedded <br />algorithms that accounted for economies of scale in service costs as the County urbanized, even when <br />the growth assumptions held service levels constant (Johnson 1988). These "invisible" factors, <br />associated with the comparable community modeling approach as described in the Fiscal Impact <br /> <br />file://\\metro-inet.us\Roseville\CommDev\PLANNING AND ZONING\PLANNING Fl." 02/17/2005 <br />- - <br />