STATISTICAL MODELS TO PREDICT COMMERCIAL- AND PARKING-SPACE OCCUPANCY

This is an exmination of the use of simple, analytical demand models for quantitatively predicting the demand for space in site-specific development projects. Models are developed that estimate the demand in terms of occupancy for commerical and parking space. The models are then used to predict the revenues and operating costs for specific development options, assuming the development scenario is consistent with the economic conditions and market in which the models were calibrated. The models are derived using building parking data from the Pittsburgh central business district, and relate occupancy to a series of binary independent variables. The models provide a means of quantifying the influence of locational and other variables. The models were able to predict more than 95% of the variation in commercial and parking building occupancy.

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  • Accession Number: 00618322
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Jan 31 1992 12:00AM