The data set is a source-target matrix of more than half a million e-scooter rides from the former micromobility provider Circ from the second half of 2019 for the cities of Berlin and Munich. Information on the number of trips, the average journey duration and route is aggregated to the hour and in small areas. The following fields are available in the record:
— zone_id [string]: The corresponding city (Berlin or Munich)
— start_h3 [string]: Hexagon on which the rides started
— end_h3 [string]: Hexagon on which the journeys have ended
— date_hour [datetime]: Timestamp aggregated to the full hour based on the start, not on the end of the ride
— n_rides [int]: Number of trips
— avg_sec [num]: average journey time (in seconds)
— avg_km [num]: average journey length (in kilometers)
The data comes from the mFUND project “Mobility as a Public Service” (MAAPs), which deals with the possibilities of using micromobility data for city administrations.
MAAPs is funded by the Federal Ministry of Transport and Digital Infrastructure as part of the innovation initiative mFUND. As part of mFUND, the BMVI has been supporting research and development projects on data-based digital applications for mobility 4.0 since 2016. In addition to the financial support, the mFUND supports the networking between actors from politics, business and research as well as access to the data portal mCLOUD with various event formats. More information can be found at www.mfund.de.
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