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GTFS‐ride Files

Sylvan edited this page Aug 31, 2017 · 13 revisions


There are two distinct uses of board_alight.txt as indicated by the record_use data field:

  1. Recording ridership counts (0 entered in record_use field)

    If an agency collects disaggregate, stop-level ridership data, board_alight.txt may be used to record ridership counts and additional supplementary data. If only more aggregate ridership data is collected, the agency should use ridership.txt to record ridership counts. It is anticipated that agencies with highly detailed ridership data will utilize this optional file. All agencies with the capability to provide this level of detail are encouraged to use board_alight.txt as it could be of the greatest use for analysis and reporting. If an entry in board_alight.txt contains 0 in the record_use field, indicating the entry is recording ridership counts, then either the boardings or the alightings fields should not be empty. An agency may choose to list ridership counts in boardings, alightings, or both boardings and alightings depending on the availability of this information. Supplementary information on ramp/lift/rack deployments and wheelchair and bike counts may also be included in their respective data fields if this data is collected at the stop-level.

    By including an optional time and date information in the service_date, service_arrival_time, and service_departure_time fields, an agency can disaggregate ridership counts to specifics instances of stop arrivals. This additional time information also enables the inclusion of a calculated vehicle load in the current_load field. It should be noted that unique combinations of stop_id, trip_id, and stop_sequence will not uniquely define a specific instance in time of an arrival at a stop. Boardings and other counts will be aggregated across the active dates in a trip’s service_id unless time and date information are provided.

  2. Recording service cancellation (1 entered in record_use field)

    An agency may use an entry in board_alight.txt as a placeholder to record services (e.g., trips and stop times) that are defined and scheduled through the associated GTFS feed, but that were canceled or not operated. This is indicated by a 1 in the record_use field and the appropriate selection in the schedule_relationship field. For example, if an agency wanted to record the cancellation of a whole trip, only the first five fields of board_alight.txt will be used (with the option to additionally include service_date information for specificity). The trip_id would be the ID of the trip that was canceled, the stop_id and stop_sequence would correspond to the first stop of that trip, record_use would be 1, and schedule_relationship would be 1 (1 = Whole scheduled trip was canceled). The following illustrates this example:


Examples of board_alight.txt:


The trip_capacity.txt file can be used to report the capacity of vehicles operating transit services to support crowding analysis in conjunction with board_alight.txt. If an agency collects disaggregate, stop-level data, the various fields (e.g., boardings, alightings, current_load, bike_boardings, etc.) in board_alight.txt can be cross-referenced through the trip_id with the capacity fields (e.g., seated_capacity, bike_capacity, etc.) in trip_capacity.txt to support several types of analysis.

Examples of trip_capacity.txt:


If an agency can associate supplementary ridership data with a specific rider, rider_trip.txt may be used to record the rider-generated details. Care should be exercised in the creation of the rider_id field to anonymize a rider's identity sufficiently. The rider_trip.txt file may be useful for origin/destination, rider demographic, fare structure, network configuration, transit equity, demand forecasting, and performance review studies.

Examples of rider_trip.txt:


An agency may use the ridership.txt file to record aggregate level ridership counts depending on agency capabilities and requirements. If stop-level ridership counts are available, they should be recorded in board_alight.txt, but an agency may choose to also record the aggregated counts in ridership.txt to aid in meeting specific reporting requirements or in generating user-defined reports.

Many levels of specificity of aggregation are available through the many possible combinations of ID, time, and date fields. For example, an agency which collects only daily, route-level ridership data can input the counts in the total_boardings and total_alightings fields and specify the associated route_id (note: total boardings should equal total alightings for all levels of riderships higher than stop-level).

Alternatively, an agency which collects stop-level data for each instance of a vehicle arrival may input ridership data at this lowest level or aggregate the data into any higher level desired. For example, an agency in this scenario may input ridership counts for "all Saturdays between 8 and 10 a.m. in the month of June" for any particular stop, trip, route & direction, route, or agency by indicating this aggregation level using the appropriate data fields. For more straightforward aggregation, an agency may simply indicate a servic_id contained in calendar.txt over which the supplied counts are combined.

Also, the ridership standard has been designed to support multi-agency GTFS feeds. Therefore, ridership counts in ridership.txt without any associated GTFS identifiers would indicate aggregated counts over all services specified in the associated GFTS feed files over the date range indicated in ridership.txt.

Examples of ridership.txt:


The main purpose of ride_feed_info.txt is to provide additional information about the files that make up a GTFS-ride feed. The required data field ride_files serves to indicate which GFTS-ride specific files are employed in the feed to contain valid ridership data. Note that trip_capacity.txt alone is not among the options for ride_files as it alone would not constitute a valid GTFS-ride feed since it does not contain any ridership data. The selection for ride_files should correspond to included files in the GTFS-ride feed. For example, if valid ridership data is placed only in board_alight.txt and ridership.txt, then 4 should be selected for the ride_files field, and the rider_trip.txt file should not be included in the GTFS-ride feed.

The other primary functions of ride_feed_info.txt are to indicate the active dates and current version number of the GTFS-ride feed and to relate the GTFS-ride feed with its corresponding GTFS feed. The gtfs_feed_date field will indicate the date on which the active GTFS feed files were obtained to become files in the GTFS-ride feed, thereby tying the ridership data in GTFS-ride to the state of the transit network on which it occurred.

Examples of ride_feed_info.txt:

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