Pedestrian Traffic on Cincinnati Skywalk System

A method for estimating pedestrian trips on the sky walk system in the central business district of Cincinnati, Ohio has been developed. The central business district experiences congestion and conflicting pedestrin‐vehicle movements, especially at signalized intersections. Attempts have been made to reduce the complexity of the problem by the construction of the skywalk system. 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 (11:30a.m.–1:30p.m.) and evening peak (3:30p.m.–5:30p.m.). The results have shown that restaurants (number of seats), floor space area for office use (sq ft or $m^2$), floor space area for retail use (sq ft or $m^2$) and hotels (number of rooms) are the most significant independent variables. Parking space was not found significant. The analysis shows that simple quantitative models for estimating pedestrian trips on the skywalk system can be conveniently developed on the basis of a relatively simple data base.