This dataset show the historical Melbourne Bike Share dock usage. This program came to an end in November 2019. This dataset contains the historical dock readings from sensors in Melbourne's Bike Share. Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. This dataset contains the locations of all of the bike share pods, the number of bikes located at each pod and the number of empty slots at the pod. Download: Download compressed CSV (51.6MB, 5.64 million rows)

This dataset show the historical Melbourne Bike Share dock usage. This program came to an end in November 2019. This dataset contains the historical dock readings from sensors in Melbourne's Bike Share. Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. This dataset contains the locations of all of the bike share pods, the number of bikes located at each pod and the number of empty slots at the pod. Download: Download compressed CSV (51.6MB, 5.64 million rows)

This dataset show the historical Melbourne Bike Share docks. This program came to an end in November 2019. Contains the bike share dock locations that were deployed across Melbourne as part of the Melbourne Bike Share Program. Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. It allows commuters to hire a bike from a dock location and return it to another dock location in the city. This dataset contains the bike share dock locations and capacity across the city. This dataset can be joined to the bike share data feed using the column station_id.

This dataset show the historical Melbourne Bike Share docks. This program came to an end in November 2019. Contains the bike share dock locations that were deployed across Melbourne as part of the Melbourne Bike Share Program. Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. It allows commuters to hire a bike from a dock location and return it to another dock location in the city. This dataset contains the bike share dock locations and capacity across the city. This dataset can be joined to the bike share data feed using the column station_id.

Historic data updated on 07/14/2023. Q4 of 2023 and data for all years on systems allowing parking outside of a docking station updated on 06/04/2024. Bikeshare ridership by system, year, month, and station at which trip ended for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/ Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are not counted. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. Trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month can be found in the attachment (https://data.bts.gov/api/views/6cfa-ipzd/files/36fde1b8-57c3-4d31-b9dc-bbc896ba346e?download=true&filename=days_included_in_docked_bikeshare_monthly_summaries.xlsx) Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals. Data visualizations available at: https://data.bts.gov/stories/s/Summary-of-Docked-Bikeshare-Trips-by-System-and-Ot/7fgy-2zkf/

The City has conducted twice yearly intersection cycle counts at various sites in peak hours (6-9 am and 4-7 pm) on one day in March and October every year, since March 2010 (excluding March 2018). This data shows the total number of cyclists at the site during peak hours as well as individual survey hours.

Historic data updated on 07/14/2023. Q4 of 2023 and data for all years on systems allowing parking outside of a docking station updated on 06/04/2024. Bikeshare ridership by system, year, and month for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/ Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are indicated by the trip type. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. For trips starting and ending at a docking station or on systems where only docked trips are permitted, trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows: Days included in each month can be found in the attachment (https://data.bts.gov/api/views/6cfa-ipzd/files/36fde1b8-57c3-4d31-b9dc-bbc896ba346e?download=true&filename=days_included_in_docked_bikeshare_monthly_summaries.xlsx) Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals. Data visualizations available at: https://data.bts.gov/stories/s/Summary-of-Docked-Bikeshare-Trips-by-System-and-Ot/7fgy-2zkf/

A. SUMMARY This dataset contains datapoints on the location of bike share locations across the Bay Area. B. HOW THE DATASET IS CREATED This dataset is an extract from the MTA feature server. C. UPDATE PROCESS An extract is pulled from the MTA feature server on a weekly basis. A few fields are added such as data_loaded_at. D. HOW TO USE THIS DATASET Use this dataset to understand and locate the locations of bike share stations.