This research explores the application of archived data from Automated Data Collection Systems (ADCS) to transport planning with a focus on bus passenger travel behavior, including Origin-Destination (OD) inference, using London as a case study. It demonstrates the feasibility and ease of applying trip-chaining to infer bus passenger OD from smart card transactions and Automatic Vehicle Location (AVL) data and is the first known attempt to validate the results by comparing them with manual passenger survey data. With the inferred OD matrices, the variations of weekday and weekend bus route OD patterns are examined for planning purposes. Moreover, based on the inferred OD matrices and the AVL data, alighting times for bus passengers also can be estimated. Bus journey stages, therefore, can easily be linked. By comparing the interchange time and the connecting bus route’s headway, it provides a way to evaluate bus connections.


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    Title :

    Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems


    Contributors:

    Publication date :

    2011


    Remarks:

    Wang, Wei; Attanucci, John and Wilson, Nigel. “Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems.” Journal of Public Transportation 14, no. 4 (December 2011): 131–150 © 2011 Center for Urban Transportation Research




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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