Route Carbon Impact Assessment Logs

This dataset provides granular, real-time logs of carbon emissions for commercial transportation routes, including vehicle, route, and emissions details. It is designed to help operations managers optimize fleet scheduling for sustainability, support ESG compliance, and identify actionable opportunities for emissions reduction. The data enables benchmarking, trend analysis, and regulatory reporting for sustainable logistics operations.

  • last updated 30 Jan 2026
  • by GoMask
The brief that made it

Optimizing fleet scheduling to minimize carbon emissions

Sample rows

preview · 8 of 60 rows · all 24 columns
log_idstringfuel_typestringemissions_per_km_kg_co2efloatesg_compliance_flagbooleanstart_location_countrystringroute_idstringfleet_idstringvehicle_idstringvehicle_typestringroute_start_datetimedatetimeroute_end_datetimedatetimestart_location_citystringstart_location_statestringend_location_citystringend_location_statestringend_location_countrystringdistance_kmfloatcargo_weight_kgfloatemissions_kg_co2efloatemissions_per_ton_km_kg_co2efloatroute_statusstringemissions_reduction_opportunity_flagbooleanlog_created_atdatetimeemissions_reduction_recommendationstring
LOG-00001-B1diesel1.72trueUSAROUTE-1001FLEET-ACMEVEH-TRK-001truck2024-05-01T08:15:002024-05-01T14:45:00DallasTXHoustonTXUSA390.79240672.40.073completedfalse2024-05-01T15:00:00blank
LOG-00002-B1electric0.13trueGermanyROUTE-1039FLEET-GREENWAYVEH-ELT-020electric_truck2024-05-03T09:00:002024-05-03T12:10:00BerlinblankLeipzigblankGermany192.8510024.20.024completedfalse2024-05-03T12:15:00blank
LOG-00003-B1gasoline0.35falseUSAROUTE-1017FLEET-ACMEVEH-VAN-014van2024-04-30T07:20:002024-04-30T10:10:00PhoenixAZTucsonAZUSA179.2242562.90.104completedtrue2024-04-30T10:15:00Switch to hybrid vans for reduced emissions.
LOG-00004-B1hybrid0.13trueCanadaROUTE-1023FLEET-TRANSITVEH-HYB-008hybrid2024-05-02T13:05:002024-05-02T15:35:00TorontoONOttawaONCanada446.1321059.30.042completedfalse2024-05-02T15:40:00blank
LOG-00005-B1diesel1.77falseUSAROUTE-1052FLEET-ACMEVEH-TRK-002truck2024-05-04T05:50:002024-05-04T11:20:00ChicagoILDetroitMIUSA453.910280805.30.078completedtrue2024-05-04T11:25:00Optimize speed and idle times to lower emissions.
LOG-00006-B1cng0.95trueUSAROUTE-1061FLEET-GREENWAYVEH-TRK-010truck2024-05-05T14:40:002024-05-05T19:00:00San JoseCASacramentoCAUSA190.48880181.70.042completedfalse2024-05-05T19:05:00blank
LOG-00007-B1diesel0.27trueUKROUTE-1088FLEET-TRANSITVEH-VAN-021van2024-05-06T11:00:002024-05-06T14:15:00LondonblankBirminghamblankUK203.5318054.80.085completedfalse2024-05-06T14:20:00blank
LOG-00008-B1electric0.14trueSpainROUTE-1104FLEET-ECOLOGICVEH-ELT-004electric_truck2024-05-07T07:00:002024-05-07T13:30:00BarcelonablankValenciablankSpain349.8394049.30.036completedfalse2024-05-07T13:35:00blank

What the 60 rows show

from the 60-row sample

Diesel (fuel type) stands out: mean emissions_per_km_kg_co2e is 1.7, against 0.38 for the rest.

  • 62%esg_compliance_flag = true
  • 0.58median emissions_per_km_kg_co2e
  • 6vehicle types
  • 193.1median distance_km
  • 5,400median cargo_weight_kg
  • 110.3median emissions_kg_co2e
Mean emissions_per_km_kg_co2e by fuel_type60 rows
0121.7diesel26 rows0.30gasol…10 rows0.15elect…8 rows0.35hybrid9 rows0.79cng4 rows0.81other3 rows
emissions_per_km_kg_co2e60 rows, in bands of 0.25
0102019104305346601.252.5emissions_per_km_kg_co2e →

Median 0.58, from 0.09 to 2.4.

start_location_country60 rows · top 10 of 24 values
  1. USA17
  2. Australia5
  3. UK4
  4. Spain4
  5. Germany3
  6. Canada3
  7. France2
  8. Netherlands2
  9. Switzerland2
  10. Norway2
24 columns by typefrom the column list below
  • string 14
  • float 5
  • datetime 3
  • boolean 2

Columns

24 columns in four groups
blueprint · 24 columns
columntypedescriptionexample
Text 14 columns
log_idstringUnique identifier for each carbon impact assessment log entryuniqueLOG-00001-B1
route_idstringUnique identifier for the transportation routeROUTE-1001
fleet_idstringIdentifier for the fleet or company operating the routeFLEET-ACME
vehicle_idstringUnique identifier for the vehicle used on the routeVEH-TRK-001
vehicle_typestringType of vehicle (e.g., truck, van, electric truck, hybrid, diesel)6 valuestruck
fuel_typestringType of fuel used by the vehicle (e.g., diesel, gasoline, electric, hybrid, CNG)6 valuesdiesel
start_location_citystringCity where the route startedDallas
start_location_statestringState or province where the route startedoptionalTX
start_location_countrystringCountry where the route startedUSA
end_location_citystringCity where the route endedHouston
end_location_statestringState or province where the route endedoptionalTX
end_location_countrystringCountry where the route endedUSA
route_statusstringStatus of the route (e.g., completed, in_progress, cancelled)completed · in_progress · cancelledcompleted
emissions_reduction_recommendationstringTextual recommendation for reducing emissions on this route, if anyoptionalSwitch to hybrid vans for…
Numbers 5 columns
distance_kmfloatTotal distance covered on the route in kilometers0 or more390.7
cargo_weight_kgfloatTotal cargo weight transported on the route in kilograms0 or more · optional9240
emissions_kg_co2efloatTotal carbon emissions for the route in kilograms of CO2 equivalent0 or more672.4
emissions_per_km_kg_co2efloatCarbon emissions per kilometer for the route in kilograms of CO2 equivalent0 or more · optional1.72
emissions_per_ton_km_kg_co2efloatCarbon emissions per ton-kilometer for the route in kilograms of CO2 equivalent0 or more · optional0.073
Dates and times 3 columns
route_start_datetimedatetimeDate and time when the route started2024-05-01T08:15:00
route_end_datetimedatetimeDate and time when the route ended2024-05-01T14:45:00
log_created_atdatetimeTimestamp when this log entry was created2024-05-01T15:00:00
True or false 2 columns
esg_compliance_flagbooleanIndicates if the route complies with ESG (Environmental, Social, Governance) emission standardsoptionaltrue
emissions_reduction_opportunity_flagbooleanIndicates if there is an identified opportunity for emissions reduction on this routeoptionalfalse

Use it for

  • esg compliance…62%37 of 60 rowsmean emissions per km…1.7dies…0.30gaso…0.15elec…0.35hybr…

    A transportation dashboard

    The esg_compliance_flag rate, emissions_per_km_kg_co2e by fuel_type and a breakdown of start_location_country. Excel, Power BI or Tableau.

  • Why do the 26 diesel rows have a mean emissions_per_km_kg_co2e of 1.7?

    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 logs with route_id, fleet_id and vehicle_id to fill a screen in front of a buyer.

Not quite right?

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This dataset60 rows24 columns
Yours10,000 rows24 columnsstart_location_city: UK only

blueprint · route-carbon-impact-assessment-logs

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 24 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 one completed route segment for a single vehicle.
  • CO2-equivalent emissions are calculated using fuel consumption, distance, and vehicle type.
  • Hybrid/electric vehicles must show energy source breakdown (e.g., grid vs. renewable).
  • Include timestamped weather and traffic condition fields impacting emissions.
  • Emission outliers (above 95th percentile) are flagged for audit.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
route-carbon-impact-assessment-logs

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