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Statistical Inference for Transit System Origin-Destination Matrices

Summary: [This abstract is based on the author’s abstract.] Inference for the matrix of origin-destination (O-D) trip rates for a transit system are examined, based on the number of passengers getting on and off at each stop. A Markov chain Monte Carlo algorithm was obtained by generating candidate trip vectors using a Markov model of passenger behavior. The methodology works whether or not the O-D matrix is assumed to have any given structure. The method is illustrated by a case study of bus service in the San Francisco Bay area.

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  • Topics: Statistics
  • Keywords: Transportation Industry, Sampling plans, Frequency distribution, Markov chains, Monte Carlo methods, Problem solving
  • Author: Hazelton, Martin L.
  • Journal: Technometrics