Paul Wiedemann

Paul Wiedemann's technical expertise is in data analysis, financial modeling, demand forecasting, and strategic planning. Paul is experienced in the areas of aviation system planning, business plans, benefit cost analysis, air service feasibility studies, airport demand forecasting, economic impact analyses, airport capacity determination, and software design. Paul is well versed in multiple technical programs including: FAA PAVEAIR, PAVER 7, AEDT 3c: Aviation Environmental Design Tool, ArcGIS, and uses Visual Basic for Applications (VBA) programming to create complex financial and data models in Excel that are user friendly. Paul also holds a 14 CFR Part 107 remote pilot UAS license.

Paul has worked on over 45 business plans to improve the financial performance, economic development and operation of each airport. Examples include Orlando-Sanford (FL), St. Lucie (FL), Lakeland (FL), La Porte (TX), Redlands (TX), Brownwood (TX), Bryan (TX), Georgetown (KY), Morehead (KY), Lock Haven (PA), Palo Alto (CA), Tri-Cities (NY), Oswego County (NY), Watertown (NY), Canandaigua (NY), Fort Smith (AR), Cape May (NJ), Millville (NJ), Delaware Airpark (DE), Civil Air Terminal (DE), Lake Cumberland Regional (KY), Hartness (VT), Knapp (VT), Middlebury (VT), Rutland (VT), Lee’s Summit (MO), New Braunfels (TX) and Denton (TX).

Paul Wiedemann has also worked on the air service feasibility studies for Anderson (SC), Dover (DE), Jamestown (NY), Somerset (KY), and for the Big Sandy Region (KY). He has worked on the benefit/cost analysis for Monroe (NC) and Sussex (DE), and financial feasibility studies for Fairfield (TX), Jamestown (NY) and Dunkirk (NY). Paul has also worked on the demand forecasts for Buffalo Niagara International Airport, Mt. Sterling (KY), Venice (FL), and the demand and capacity forecasts for three multi-year system plans including the North Central Texas General Aviation and Heliport System Plan.

In North Central Texas System Plan, Paul developed an aviation demand forecasting software program Avcast 2.0® that incorporates both objective (statistical) and subjective (judgmental) criteria in the forecasting of aircraft operations, registered aircraft, based aircraft and operations at each of the 44 airports in the system. He has also developed a model that will forecast the need for airport facilities, the cost of those facilities, and the appropriate funding source. Paul has developed an airport business planning software App that will project revenues and expenses, along with net revenues. It has automated this process and found great success with our clients.