Urban Micro-Mobility Sensor Data

This dataset provides granular, real-time sensor readings from urban micro-mobility stations, including usage statistics, incident reports, maintenance needs, and sustainability impact metrics. It is designed to empower smart city planners, mobility operators, and climate tech innovators with actionable insights for optimizing infrastructure, improving safety, and advancing sustainability goals.

  • last updated 31 Jan 2026
  • by GoMask
The brief that made it

Station utilization and demand analysis

Sample rows

preview · 8 of 150 rows · all 20 columns
sensor_idstringstation_statusstringenergy_consumption_kwhfloatmaintenance_requiredbooleanincident_typestringstation_idstringtimestampdatetimevehicle_typestringvehicle_countintegerstation_capacityintegerincident_reportedbooleanincident_descriptionstringco2_saved_kgfloatlocation_latitudefloatlocation_longitudefloataddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystring
SNR-1012operational12.4falseblankSTN-NYC012024-06-01T08:15:23Zbike1820falseblank16.940.7512-73.9903123 7th AveNew YorkNY10001USA
SNR-1023maintenance_required5.1truemalfunctionSTN-LAX072024-06-01T09:22:41Zscooter912trueScooter charging port not working.6.234.0522-118.2437555 Maple DrLos AngelesCA90013USA
SNR-1090operational13.5falseblankSTN-TKY552024-06-01T12:05:11Zbike2225falseblank19.235.6895139.69173-2 MarunouchiTokyoTokyo100-0005Japan
SNR-1108operational10.7falseblankSTN-LND122024-06-01T19:44:56Zbike1518falseblank14.151.5074-0.127814 Regent StLondonEnglandSW1Y 4PEUK
SNR-1155operational11.9falseblankSTN-BRL992024-06-01T06:16:08Zbike1920falseblank16.452.5213.4057 AlexanderplatzBerlinBerlin10178Germany
SNR-1201operational9.8falseblankSTN-RIO212024-06-01T13:30:41Zbike1416falseblank11.7-22.9068-43.1729102 CopacabanaRio de JaneiroRJ22050-002Brazil
SNR-1239operational6.4falseblankSTN-ROM772024-06-01T15:07:53Zscooter1013falseblank7.841.902812.496498 Via del CorsoRomeLazio00186Italy
SNR-1302offline0falseblankSTN-STK662024-06-01T22:26:14Zscooter310falseblank059.329318.068621 GötgatanStockholmStockholm11621Sweden

What the 150 rows show

from the 150-row sample

Maintenance_required (station status) stands out: 30 of its 30 rows have maintenance_required = true, against 17 of 120 for the rest.

  • 31%maintenance_required = true
  • 5.6median energy_consumption_kwh
  • 3vehicle types
  • 45address countries
  • 9median vehicle_count
  • 13median station_capacity
Maintenance required rate by station_statusmaintenance_required = true
0%50%100%0%operational0 of 100100%maintenance_…30 of 3085%offline17 of 20

Maintenance_required (station status)'s mean energy_consumption_kwh is 2.8, against 8.3 for operational and 0.0 for offline.

energy_consumption_kwh147 rows, in bands of 2
02040402118148172360816energy_consumption_kwh →

Median 5.6, from 0.0 to 14.2.

incident_type49 rows with a value · 101 left blank
  1. malfunction23
  2. vandalism9
  3. other9
  4. theft8
20 columns by typefrom the column list below
  • string 11
  • integer 2
  • float 4
  • datetime 1
  • boolean 2

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 11 columns
sensor_idstringUnique identifier for the physical sensor device.SNR-1012
station_idstringUnique identifier for the bike/scooter station.STN-NYC01
vehicle_typestringType of micro-mobility vehicle detected (e.g., bike, scooter).bike · scooter · otherbike
station_statusstringOperational status of the station at the time of reading.operational · maintenance_required · offlineoperational
incident_typestringType of incident reported (if any).theft · vandalism · malfunction · other · optionalmalfunction
incident_descriptionstringFree-text description of the incident (if any).optionalBattery issue detected.
address_streetstringStreet address of the station.123 7th Ave
address_citystringCity where the station is located.New York
address_statestringState or region where the station is located.NY
address_postal_codestringPostal code of the station location.10001
address_countrystringCountry where the station is located.USA
Numbers 6 columns
vehicle_countintegerNumber of vehicles detected at the station at the given timestamp.0 or more18
station_capacityintegerTotal number of vehicle slots available at the station.1 or more20
energy_consumption_kwhfloatEnergy consumed by the station infrastructure since last reading (in kWh).0 or more · optional12.4
co2_saved_kgfloatEstimated CO2 emissions saved due to micro-mobility usage at this station (in kg).0 or more · optional16.9
location_latitudefloatLatitude of the station location.-90 to 9040.7512
location_longitudefloatLongitude of the station location.-180 to 180-73.9903
Dates and times 1 column
timestampdatetimeDate and time when the sensor reading was recorded.2024-06-01T08:15:23Z
True or false 2 columns
incident_reportedbooleanIndicates if any incident was reported at the station at this timestamp.false
maintenance_requiredbooleanIndicates if maintenance is required for the station.false

Use it for

  • maintenance re…31%47 of 150 rowsmean energy consumpti…8.3operat…2.8mainte…0.0offline

    A transportation dashboard

    The maintenance_required rate, energy_consumption_kwh by station_status and a breakdown of incident_type. Excel, Power BI or Tableau.

  • Why do 47 of 150 rows have maintenance_required = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable sensors with station_id, timestamp and vehicle_type to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 20 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

10,000 rows of yours: $12.99One-time. No subscription. All prices

This dataset150 rows20 columns
Yours10,000 rows20 columnslocation_latitude: UK only

blueprint · urban-micro-mobility-sensor-data

Behind this dataset

Same schema. As many rows as you need.

These 150 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents a single sensor event at a micro-mobility station.
  • Include timestamp, station ID, vehicle type, occupancy count, and event type (docking, undocking, maintenance, incident).
  • Flag events with abnormal occupancy (>150% capacity) or repeated maintenance within 24 hours.
  • Report carbon offset estimate for each ride event based on vehicle type.
  • Integrate incident type metadata (accident, theft, malfunction) for smart city response planning.
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
urban-micro-mobility-sensor-data

More in Transportation

Browse all
Also in TransportationUrban Micro Mobility Usage PatternsTelematics Vehicle Sensor StreamsVehicle Route Efficiency ScoresAll 1,947 datasets

What should your data show?

Preview 20 rows free
No signup. No card.