HISTOSPLINE INTERPOLATION FOR DATA INPUT INTO THE TRANSIT RIDERSHIP FORECASTING MODEL
operations - traffic, ridership - forecasting, ridership - forecasting, mode - mass transit
Zone, Trip generation, Transit, Traffic generation, Scenarios, Ridership, Public transit, Projections, Patronage (Transit ridership), Models, Mathematical models, Mass transit, Local transit, Interpolation, Input, Forecasting
A brief outline is presented of the advantages of the histospline method of areal interpolation (to transform or reaggregate data from one set of geographical areas to another), and a description is given of the application of this method in preparing trip generation input data for the Transit Ridership Forecasting Model (TRFM). The case study area, a specific transit route in Milwaukee County, is described. Details of the study method (construction of the zone system, interpolaton of input data, trip attractions, and other inputs to TRFM) are given, and conclusions drawn from the study are set forth.
Lindquist, P, (1986) HISTOSPLINE INTERPOLATION FOR DATA INPUT INTO THE TRANSIT RIDERSHIP FORECASTING MODEL, ITE Journal, Volume 56, Issue 11, p. 31-36.