This dataset shows stop-level boardings and alightings for selected months from 2019 onwards. Typically ridership is highest in September. This dataset will update each month with the latest data. There is also a deprecated dataset showing all bus stops active in Pittsburgh Regional Transit's fiscal year 2019 (7/1/2018 to 6/30/2019) along with latitude/longitude, stop type and amenities, and average boardings and alightings. The boardings and alightings are available as an average for the schedule pick and the fiscal year average. A schedule "pick" is a four digit year-month ID for the quarterly schedule period, e.g. 1809 is the schedule period starting September 2018. Rail stops/stations are not included as riders either pay at the platform (unable to join to specific route) or on the railcar (unable to join to specific platform).

The purpose of this dataset is to report inefficiencies in SEPTA's regional rail train scheduling for use by SEPTA employees and casual train riders. It also documents late trains, which you can use to excuse work lateness.

경상남도 김해시 시내버스 운행 현황에 대한 데이터로 업체구분,노선번호,기점,종점,첫차,막차 등의 항목을 제공합니다

Data collected monthly from urbanized area transit systems. The Monthly module includes a limited set of key indicators reported by transit properties. Data is reported on a monthly basis, by mode and type of service, for a calendar year. The four data items included are: Unlinked Passenger Trips, Vehicle Revenue Miles, Vehicle Revenue Hours, and Vehicles Operated in Maximum Service (Peak Vehicles). Monthly data are reported by mode and type of service.

A national summary of fare revenue generated by public transit provides according to the National Transit Database (NTD) in Report Year 2024.