An origin–destination (O-D) table contains information essential for making decisions about the operation and management of a transit system, such as determining the schedule, train composition, and fare structure. The table needs to be updated frequently. However, the collection of O-D data is time-consuming, costly, and cumbersome. This paper proposes a method that produces an O-D table on the basis of generally available data: passenger boarding and alighting counts at individual stations and the analyst's knowledge, either qualitative or quantitative, about the values for some station pairs; for example, the number of trips ( i, j) is approximately 100 or the number of trips ( i, j) is much greater than the number of trips ( m, n) (where i, j, m, and n are stops). The method applies the entropy maximization principle, in which the values for the O-D pairs whose information is not available are maximally unbiased and the available information is used as a constraint in the optimization problem. The uniqueness of the proposed approach is its ability to deal with qualitative and often language-based information, which the analyst often possesses. An example from a real transit line is presented to show the usefulness of the method and also to show how the additional information about select O-D pairs affects the quality of the solution.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Constructing a Transit Origin–Destination Table Using the Uncertainty Maximization Concept


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2009-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Constructing Transit Origin–Destination Matrices with Spatial Clustering

    Luo, Ding / Cats, Oded / van Lint, Hans | Transportation Research Record | 2017



    Constructing Transit Origin–Destination Tables from Fragmented Data

    Kikuchi, Shinya / Kronprasert, Nopadon | Transportation Research Record | 2010


    Transit Route Origin–Destination Matrix Estimation using Compressed Sensing

    Kumar, Pramesh / Khani, Alireza / Davis, Gary A. | Transportation Research Record | 2019