Urban public transport providers have historically planned and managed their networks and services with limited knowledge of their customers' travel patterns. While ticket gates and bus fareboxes yield counts of passenger activity in specific stations and vehicles, the relationships between these transactions-the origins, interchanges, and destinations of individual passengers-have typically been acquired only through costly and therefore small and infrequent rider surveys. Building upon recent work on the utilization of automated fare-collection and vehicle-location systems for passenger-behavior analysis, this thesis presents methods for inferring the full journeys of all riders on a large public transport network. Using complete daily sets of data from London's Oyster farecard and iBus vehicle-location system, boarding and alighting times and locations are inferred for individual bus passengers, interchanges are inferred between passenger trips of various public modes, and full-journey origin-interchange-destination matrices are constructed, which include the estimated flows of non-farecard passengers. The outputs are validated against surveys and traditional origin-destination matrices, and the software implementation demonstrates that the procedure is efficient enough to be performed daily, enabling transport providers to observe travel behavior on all services at all times.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data.
    Automated inference of full passenger journeys using fare-transaction and vehicle-location data



    Erscheinungsdatum :

    2012


    Format / Umfang :

    155 pages


    Anmerkungen:

    Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning; and, (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.
    This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
    Cataloged from student-submitted PDF version of thesis.
    Includes bibliographical references (p. 147-155).


    Medientyp :

    Hochschulschrift


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data

    Gordon, Jason B. / Koutsopoulos, Harilaos N. / Wilson, Nigel H. M. et al. | Transportation Research Record | 2013



    Bus Load Inference and Crowding Performance Evaluation through Disaggregate Analysis of Fare Transaction, Vehicle Location, and Passenger Count Data

    Sánchez-Martínez, Gabriel E. / Paget-Seekins, Laurel / Southwick, Christopher W. et al. | Transportation Research Record | 2018


    Bus Load Inference and Crowding Performance Evaluation through Disaggregate Analysis of Fare Transaction, Vehicle Location, and Passenger Count Data

    Sánchez-Martínez, Gabriel E. / Paget-Seekins, Laurel / Southwick, Christopher W. et al. | TIBKAT | 2019


    Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data

    Sánchez-Martínez, Gabriel E. | Transportation Research Record | 2017