A method for estimating pedestrian trips on the skywalk system in the central business district of Cincinnati, Ohio has been developed. Data on pedestrian trips on the skywalk system was obtained from a manual count conducted simultaneously at twelve strategic points on the skywalk system. Land use data was obtained from published sources and from related public and private agencies. Regression analysis was conducted to estimate pedestrian trips on the skywalk system during lunch peak (11:30 a.m.-1:30 p.m.) and evening peak (3:30 p.m.-5:30 p.m.). The results have shown that restaurants (number of seats), floor space area for office use (sq ft or sq m), floor space area for rental use (sq ft or sq m) and hotels (number of rooms) are the most significant independent variables. Parking space was not found significant.

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  • Accession Number: 00396053
  • Record Type: Publication
  • Source Agency: Engineering Index
  • Files: TRIS
  • Created Date: Nov 30 1985 12:00AM