This dataset estimates the seat availability on SEPTA routes.
Latest version: v202312170, containing estimates for the week of March 26th, 2023 to April 1st, 2023. These estimates are based on data collected from March 4th,2023 through March 19th, 2023 for most bus routes, Regional Rail routes, subway/elevated routes, and the Norristown High Speed Line.
- No changes in this version.
- This version, like previous versions, has estimations for some bus routes but not all bus routes. This version does not contain estimations for some modes, routes, trips, and stops due to data availability. We expect to update existing estimations and to add estimations for additional routes in future versions.
- All bus, trolley, trackless trolley, NHSL, Subway/Elevated, and Regional Rail trips are included for completeness, but some have empty values in the "estimated_seat_availability_category" column, indicating no estimation is available.
By downloading any dataset(s) from this website (https://github.com/septadev/seat-availability), you acknowledge and agree to the following LICENSE AGREEMENT:
This LICENSE AGREEMENT ("Agreement") is entered into by and between Southeastern Pennsylvania Transportation Authority ("SEPTA") and you ("Licensee").
SEPTA hereby grants to Licensee a non-exclusive, non-assignable, non-transferable, limited and revocable right to use, reproduce and redistribute the Estimated Seat Availability Dataset (“the dataset”) subject to the following terms and conditions:
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- The dataset is provided on an "as is" and "as available" basis. SEPTA makes no representations or warranties of any kind, express or implied, pertaining to the dataset. SEPTA disclaims all warranties pertaining to the dataset, express or implied, including but not limited to implied warranties of merchantability, fitness for a particular purpose, accuracy, completeness, usefulness, timeliness, reliability or functionality. SEPTA and its employees, officers, Board members and agents will not be liable for damages of any kind arising from the use of the dataset including but not limited to direct, indirect, incidental, punitive and consequential damages.
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