Since 2007, the transit industry has benefited from a widely adopted data standard called the General Transit Feed Specification (GTFS), which has enabled the development of numerous traveler information tools (i.e., transit trip planners). The purpose of this project is to demonstrate the potential for GTFS feeds as a data source for transit analyses, such as those found in the Transit Capacity and Quality of Service Manual. There are three primary project tasks: an analysis of GTFS field usage by different agencies; an analysis of a single agency's operations at the stop, route, and system levels; and a batch analysis and comparison of 50 large transit agencies in North America. Compared with manually transcribing schedules from transit websites or parsing printed schedules, the use of scripts and database queries suggests that the GTFS is a highly efficient data source and proves the importance of broadly accepted data standards. The methodology documented in this paper and the open source scripts (made available online) will be useful for any analyst or researcher who has tasks related to the analysis of single or multiple transit systems at the stop, route, or system level.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Leveraging the General Transit Feed Specification for Efficient Transit Analysis


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:
    Wong, James (Autor:in)


    Erscheinungsdatum :

    2013-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    rnv-GTFS - General Transit Feed Specification

    Rhein-Neckar-Verkehr GmbH | Mobilithek | 2022

    Freier Zugriff


    Applying the General Transit Feed Specification to the Global South

    Eros, Emily / Mehndiratta, Shomik / Webb, Kevin et al. | DSpace@MIT | 2014

    Freier Zugriff

    Estimating public transport emissions from General Transit Feed Specification data

    Vieira, João Pedro Bazzo / Pereira, Rafael H.M. / Andrade, Pedro R. | Elsevier | 2023