Transportation
15 columns
60 rows
8 formats

Urban Fleet Carbon Footprint Log

This dataset provides detailed daily logs of carbon emissions for urban mobility fleets, capturing vehicle-level data on energy usage, distance traveled, emission factors, and reduction actions. It enables sustainability managers and mobility planners to monitor, audit, and optimize fleet operations for ESG compliance and emission reduction strategies. The dataset is ideal for carbon footprint analysis, regulatory reporting, and operational decision-making in urban transportation.

last updated 15 Dec 2025
by GoMask

The brief that made it

Fleet carbon footprint analysis and reporting

Sample rows

preview · 8 of 60 rows · all 15 columns

fleet_idstring	energy_typestring	emissions_kg_co2efloat	reduction_action_takenboolean	reduction_action_typestring	vehicle_idstring	log_datedate	vehicle_typestring	distance_traveled_kmfloat	emission_factor_g_co2e_per_kmfloat	operator_idstring	route_idstring	citystring	countrystring	reduction_action_descriptionstring
FLEET_NYC_01	diesel	223.19	true	eco-driving	NYC_BUS_1001	2024-05-01	bus	86.5	2579	OP_101	M15_NORTH	New York	USA	Driver followed eco-driving protocol to minimize rapid acceleration.
FLEET_LON_02	hybrid	27.99	false	none	LON_TAXI_203	2024-05-01	taxi	37.4	749	OP_303	TX_WESTMINSTER	London	UK	blank
FLEET_PAR_01	electricity	0.22	true	maintenance	PAR_EBIKE_88	2024-05-02	e-bike	19.1	11.5	OP_501	EB_CHAMPS	Paris	France	Regular tire pressure checks and chain lubrication.
FLEET_MUC_03	diesel	131.43	false	none	MUC_VAN_44	2024-05-02	van	64.2	2048	OP_404	VAN_SCHWABING	Munich	Germany	blank
FLEET_NYC_01	petrol	98.98	true	idle-reduction	NYC_TAXI_1009	2024-05-01	taxi	53.7	1842	OP_108	TX_UPTOWN	New York	USA	Taxi reduced engine idle time at stops.
FLEET_LON_02	hybrid	34.86	false	none	LON_BUS_201	2024-05-02	bus	58.9	592	OP_302	BUS_OXFORD	London	UK	blank
FLEET_PAR_01	petrol	76.16	true	route-optimization	PAR_CAR_61	2024-05-02	car	44.8	1701	OP_511	CAR_MONTPARNASSE	Paris	France	Used shortest route mapping to reduce travel distance.
FLEET_MUC_03	natural_gas	72.52	false	none	MUC_TRUCK_17	2024-05-01	truck	136	533.5	OP_415	TRK_GARTEN	Munich	Germany	blank
FLEET_NYC_01	hybrid	13.53	true	fuel-switch	NYC_CAR_1022	2024-05-02	car	24.6	550	OP_115	CAR_BROOKLYN	New York	USA	Switched to hybrid fuel for reduced emissions.
FLEET_LON_02	electricity	0.18	false	none	LON_EBIKE_209	2024-05-01	e-bike	13.7	13	OP_325	EB_SOHO	London	UK	blank
FLEET_PAR_01	petrol	37.63	true	idle-reduction	PAR_TAXI_27	2024-05-01	taxi	19.9	1891	OP_527	TX_LA_DEFENSE	Paris	France	Reduced engine idle at traffic lights.
FLEET_MUC_03	hydrogen	0.74	true	vehicle-upgrade	MUC_BUS_13	2024-05-02	bus	41.2	18	OP_408	BUS_HBF	Munich	Germany	Upgraded to hydrogen-powered bus.
FLEET_NYC_01	diesel	267.45	false	none	NYC_TRUCK_1077	2024-05-01	truck	112.8	2371	OP_121	TRK_EASTSIDE	New York	USA	blank
FLEET_LON_02	electricity	0.28	true	maintenance	LON_VAN_205	2024-05-01	van	22.5	12.5	OP_305	VAN_TOWER	London	UK	Performed battery health check.
FLEET_PAR_01	diesel	327.8	false	none	PAR_TRUCK_19	2024-05-01	truck	126.3	2595	OP_540	TRK_BASTILLE	Paris	France	blank
FLEET_MUC_03	petrol	54.08	true	eco-driving	MUC_CAR_40	2024-05-01	car	31.9	1696	OP_420	CAR_GLOCKEN	Munich	Germany	Smooth acceleration and braking throughout trip.
FLEET_NYC_01	electricity	0.19	false	none	NYC_EBIKE_1033	2024-05-01	e-bike	15.4	12.2	OP_133	EB_SOX	New York	USA	blank
FLEET_LON_02	diesel	256.29	true	route-optimization	LON_TRUCK_211	2024-05-02	truck	97.3	2635	OP_312	TRK_CANARY	London	UK	Used optimized routing to avoid congestion.
FLEET_PAR_01	petrol	75.19	false	none	PAR_VAN_51	2024-05-02	van	47.2	1594	OP_552	VAN_MARAIS	Paris	France	blank
FLEET_MUC_03	electricity	0.13	true	maintenance	MUC_EBIKE_05	2024-05-02	e-bike	11.9	10.9	OP_434	EB_NEUPERLACH	Munich	Germany	Chain cleaned and lubricated before trip.

What the 60 rows show

from the 60-row sample

Diesel (energy type) stands out: mean emissions_kg_co2e is 110.6, against 18.1 for the rest.

48%reduction_action_taken = true
9.2median emissions_kg_co2e
6vehicle types
47.7median distance_traveled_km
182.3median emission_factor_g_co2e_per_km

Mean emissions_kg_co2e by energy_type60 rows

emissions_kg_co2e60 rows, in bands of 50

Median 9.2, from 0.13 to 327.8.

reduction_action_type60 rows · 7 values

none31
eco-driving8
maintenance5
idle-reduction5
route-optimization4
fuel-switch4
vehicle-upgrade3

15 columns by typefrom the column list below

string 10
float 3
date 1
boolean 1

Columns

15 columns in four groups

blueprint · 15 columns
column	type	description	example
Text 10 columns
`fleet_id`	string	Unique identifier for the urban mobility fleet	FLEET_NYC_01
`vehicle_id`	string	Unique identifier for the vehicle within the fleet	NYC_BUS_1001
`vehicle_type`	string	Type of vehicle (e.g., bus, van, taxi, e-bike)7 values	bus
`energy_type`	string	Primary energy source used by the vehicle on the logged date7 values	diesel
`reduction_action_type`	string	Type of emission reduction action taken (if any)8 values · optional	eco-driving
`reduction_action_description`	string	Detailed description of the emission reduction action takenoptional	Reduced idling at stops.
`operator_id`	string	Identifier for the operator or driver responsible for the vehicle on the logged dateoptional	OP_101
`route_id`	string	Identifier for the route taken by the vehicle on the logged dateoptional	M15_NORTH
`city`	string	City where the vehicle operated on the logged date	New York
`country`	string	Country where the vehicle operated on the logged date	USA
Numbers 3 columns
`distance_traveled_km`	float	Total distance traveled by the vehicle on the logged date (in kilometers)0 or more	86.5
`emissions_kg_co2e`	float	Total carbon emissions produced by the vehicle on the logged date, measured in kilograms of CO2 equivalent0 or more	223.19
`emission_factor_g_co2e_per_km`	float	Emission factor used for calculation, in grams CO2e per kilometer0 or more · optional	2579
Dates and times 1 column
`log_date`	date	Date for which the emission data is logged	2024-05-01
True or false 1 column
`reduction_action_taken`	boolean	Indicates if any emission reduction action was implemented for this vehicle on the logged date	true

Use it for

A transportation dashboard
The reduction_action_taken rate, emissions_kg_co2e by energy_type and a breakdown of reduction_action_type. Excel, Power BI or Tableau.
Why do the 15 diesel rows have a mean emissions_kg_co2e of 110.6?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Fleets60
FLEET_NYC_01223.19diesel
FLEET_LON_0227.99hybrid
FLEET_PAR_010.22electric…
A software demo
Believable fleets with vehicle_id, log_date and vehicle_type to fill a screen in front of a buyer.

This dataset60 rows15 columns

Yours1,000 rows15 columnscity: UK only

blueprint · urban-fleet-carbon-footprint-log

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 15 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 daily emissions per fleet vehicle.
Emission calculations must factor in energy type (EV, hybrid, diesel, etc).
Log emission reduction actions (e.g., route optimization, eco-driving training).
Include compliance status based on local ESG thresholds.
Capture anomaly flags for days exceeding average emission benchmarks.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: urban-fleet-carbon-footprint-log

What should your data show?

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Sample rows

What the 60 rows show

Columns

Use it for

A transportation dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Transportation

What should your data show?