Overview
OKI’s Fiscal Impact Analysis Model is a service for scenario-planning designed specifically for local governments.
The Ohio-Kentucky-Indiana Regional Council of Governments (OKI) developed a Fiscal Impact Analysis Model (FIAM) to give decision-makers a better understanding of the budgetary implications of land-use proposals.
Federal transportation investments stimulate land-use change and economic development.
The need for a fiscal impact analysis tool was identified as part of OKI’s Strategic Regional Policy Plan. The plan recommends a fiscal impact analysis tool to:
- Help guide land use policy decisions
- Allow for an integration of land use and budget considerations
- Bring a realistic sense of the costs of growth into the public discussion
- Gain an understanding of the likely demands for services and capital facility impact
Benefits of Using FIAM for your community
- Helps local governments capitalize on the potential land-use changes related to transportation investments by analyzing the impact of alternative land-use scenarios on their jurisdiction’s budget
- Helps local governments capitalize on the potential land-use changes related to transportation investments by analyzing the impact of alternative land-use scenarios on their jurisdiction’s budget —serve new development and jurisdiction’s ability to provide public facilities and services or to fix existing deficiencies.
- There is no cost to OKI communities to use FIAM
- Engage with OKI staff on use of the model
Model Data and Analysis
- Uses local, regional and national data sources to estimate revenue and the demand for broad categories of services that are likely to result from the proposed development or redevelopment
- Bases revenue and cost estimates on the statistical relationship between types of land uses and the intensity of their revenue- and cost-generating factors.
- Data provided by OKI is used for many of the Model calibrations; however, specific local data on land use, market value, tax rates and financial data are necessary to produce results. This local data is critical to the Model’s ability to develop reasonable estimates.
