Economic Impact/Forecast Model of Intelligent Transportation Systems in Michigan: An Input Output Analysis

This study aims to understand the impact that intelligent transportation systems (ITS) may have on the state of Michigan's economy. Econometric aspects of ITS over other industries are sought because presently ITS is perceived as a contribution to transportation industry only. Leontief's input-output (I-O) model that establishes an economic measurement through industries is used to ascertain the ITS effects on Michigan. An aggregated industrial I-O model using RIMS II is utilized to compute the Michigan I-O table from the national I-O table. Savings in reduced time delays and fuel costs by employing full ITS products are forecasted to calculate an overall cost reduction factor pertaining to transportation industry. Impact of ITS on the intertwined industries in the I-O model is achieved by modifying the characteristics of Michigan I-O table and maximizing the effect on certain selected industries. Macroeconomic measures are then computed in terms of multipliers for all aggregated industries. These multipliers are obtained for the cases before ITS implementation, conventional improvement methods, and after ITS implementation. A sensitivity analysis is also carried out to gauge the forecast of ITS implementation in the state. Results suggest greater economic benefits that may be achieved for most industries by statewide implementation of the full ITS products.


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  • Accession Number: 01104452
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 30 2008 9:21AM