Abstract Using two independent data sets, alternative binary station choice models were successfully calibrated and tested. The regression and probit models are based on a two stage decision process: first the commuter selects his mode of travel, and then, given the use of rapid transit, he chooses a station. The station choice models focus on the second stage of the decision process. The models estimate the relative frequency a station will be selected by commuters from a Census block group, given a modal choice of rapid transit. This proportion is a function of the trip cost difference between that station and the next least cost station.
Binary station choice models for a rail rapid transit line
1973-10-09
11 pages
Article (Journal)
Electronic Resource
English
Rail Transit: The People's Choice
British Library Online Contents | 1997
RAIL TRANSIT: THE PEOPLE'S CHOICE
Online Contents | 1997
Rail transit: The peope's choice
IuD Bahn | 1997
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