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In areas of dynamic land development, it is important to achieve a delicate balance between traffic growth and functional integrity of the road system. Traffic Impact Analysis (TIA) study is widely adopted to assess the future traffic conditions and are often sole basis for the decision makers in improving the operational performance of the system. No research has been done to evaluate the effectiveness of the TIA studies in order to yield better estimates. The objective of the research is to conduct an operational evaluation of 6 selected TIA case sites and recommend procedures that could be adopted in future so as to improve operational performance. The evaluation of operational performance and forecasting methods is conducted using three different methods. The first method studies the effect of the new development after construction while the second method evaluates the effectiveness of TIA studies in estimating the future conditions and also addresses questions like "what was expected to happen and what is happening now?" The third method identifies the effectiveness of the adopted analytical procedures of this study in replicating the real world behavior. The measures of effectiveness (MOEs) considered for evaluation of data are vehicular volume, total number of hourly stops, 50th percentile queue length, average intersection delay, and level-of-service (LOS). Results obtained from the evaluations indicated that new developments considerably affect the traffic operational performance. The forecasted traffic volumes and traffic conditions are often over-estimated in TIA studies and the results from the statistical analysis also favor the conclusion. It can be concluded that considering regional traffic growth rates, peak hour factor (PHF) and heavy vehicle percentages in TIA would yield relatively better forecasts. Incomplete development with vacant parcels and improvements were observed at several case sites, possibly due to the current state of economy. Conducting analysis assuming 3 years, 5 years and 10 years as complete build out year would help agencies in better allocation of resources based on needs.