Transportation
23 columns
45 rows
8 formats

Fleet EV Adoption Readiness Dataset

This dataset provides a comprehensive view of transportation fleet readiness for electric vehicle (EV) adoption, including detailed asset profiles, operational metrics, route suitability, charging infrastructure, and cost/emissions analytics. It enables sustainability officers and fleet managers to identify transition challenges and opportunities, optimize fleet electrification strategies, and track progress toward decarbonization goals.

last updated 27 Dec 2025
by GoMask

The brief that made it

Assessing fleet readiness for EV transition

Sample rows

preview · 8 of 45 rows · all 23 columns

fleet_idstring	charging_station_typestring	charging_station_countinteger	charging_infrastructure_availableboolean	ev_replacement_modelstring	fleet_namestring	organizationstring	asset_idstring	vehicle_typestring	current_fuel_typestring	model_yearinteger	asset_statusstring	average_daily_mileagefloat	route_idstring	route_descriptionstring	route_suitability_for_evstring	annual_fuel_costfloat	annual_maintenance_costfloat	annual_co2_emissions_kgfloat	ev_replacement_costfloat	ev_transition_challengestring	ev_transition_opportunitystring	last_updateddatetime
FLEET001	Level 2	2	true	Ford E-Transit	Metro Delivery	Urban Logistics Inc.	ASSET1001	van	diesel	2016	active	53.5	ROUTE_A01	city delivery	marginal	3900	1050	4200	45500	range	emissions reduction	2024-04-24T15:32:44
FLEET001	None	0	false	blank	Metro Delivery	Urban Logistics Inc.	ASSET1002	truck	diesel	2019	active	68	ROUTE_A03	intercity	unsuitable	6100	1300	7800	blank	range	blank	2024-03-11T18:44:28
FLEET001	Level 2	3	true	Nissan e-NV200	Metro Delivery	Urban Logistics Inc.	ASSET1003	van	hybrid	2021	active	35.2	ROUTE_A02	city delivery	suitable	1800	900	2100	37000	none	cost savings	2024-05-02T12:10:16
FLEET002	DC Fast	1	true	Volvo FL Electric	Green Haulage	EcoFreight Solutions	ASSET2001	truck	gasoline	2015	maintenance	0	ROUTE_B01	intercity	marginal	5200	1400	8200	82000	payload	emissions reduction	2024-05-03T09:12:44
FLEET002	Level 2	2	true	N/A	Green Haulage	EcoFreight Solutions	ASSET2002	sedan	electric	2022	active	24.9	ROUTE_B02	city delivery	suitable	520	550	0	0	none	incentives	2024-04-22T16:57:09
FLEET002	None	0	false	blank	Green Haulage	EcoFreight Solutions	ASSET2003	bus	diesel	2013	retired	0	ROUTE_B03	rural	unsuitable	0	0	0	blank	infrastructure	blank	2024-02-15T10:31:55
FLEET003	DC Fast	2	true	BYD K9	Suburban Shuttle	Regional Transport Ltd.	ASSET3001	bus	hybrid	2018	active	65.4	ROUTE_C01	suburban	suitable	4100	2100	4300	67000	none	emissions reduction	2024-05-06T08:18:02
FLEET003	Level 1	1	true	BYD K9	Suburban Shuttle	Regional Transport Ltd.	ASSET3002	bus	diesel	2011	maintenance	0	ROUTE_C01	suburban	marginal	6300	2400	8300	68000	cost	cost savings	2024-05-01T12:21:04
FLEET003	None	0	false	Nissan e-NV200	Suburban Shuttle	Regional Transport Ltd.	ASSET3003	van	gasoline	2017	active	41.8	ROUTE_C02	suburban	marginal	2300	1100	3600	35000	infrastructure	incentives	2024-04-27T07:15:32
FLEET004	None	0	false	blank	Rural Express	North Valley Holdings	ASSET4001	truck	diesel	2010	active	77.6	ROUTE_D01	rural	unsuitable	9000	2200	10200	blank	range	blank	2024-01-19T13:01:58
FLEET004	None	0	false	blank	Rural Express	North Valley Holdings	ASSET4002	truck	diesel	2009	retired	0	ROUTE_D02	rural	unsuitable	0	0	0	blank	range	blank	2024-03-02T16:56:18
FLEET004	None	0	false	Nissan e-NV200	Rural Express	North Valley Holdings	ASSET4003	van	gasoline	2014	active	46.2	ROUTE_D03	rural	marginal	2750	1200	4100	36000	range	emissions reduction	2024-04-14T14:32:42
FLEET005	Level 2	4	true	Tesla Model 3	Corporate Mobility	Business Transport Corp.	ASSET5001	sedan	hybrid	2020	active	32	ROUTE_E01	city delivery	suitable	950	650	1200	42000	none	cost savings	2024-05-05T11:45:33
FLEET005	Level 1	1	true	Chevy Bolt	Corporate Mobility	Business Transport Corp.	ASSET5002	sedan	gasoline	2015	active	29.3	ROUTE_E01	city delivery	marginal	1400	800	1800	38000	payload	incentives	2024-04-29T09:34:21
FLEET005	DC Fast	2	true	N/A	Corporate Mobility	Business Transport Corp.	ASSET5003	sedan	electric	2023	active	31.6	ROUTE_E02	city delivery	suitable	400	450	0	0	none	emissions reduction	2024-05-07T10:15:20
FLEET006	None	0	false	blank	Municipal Transit	City Services Authority	ASSET6001	bus	diesel	2008	retired	0	ROUTE_F01	urban	unsuitable	0	0	0	blank	payload	blank	2024-03-18T14:28:09
FLEET006	DC Fast	3	true	BYD K9	Municipal Transit	City Services Authority	ASSET6002	bus	hybrid	2019	active	59.1	ROUTE_F02	urban	suitable	3200	1800	3300	69000	none	emissions reduction	2024-05-08T13:19:31
FLEET006	Level 2	2	true	Ford E-Transit	Municipal Transit	City Services Authority	ASSET6003	van	gasoline	2018	active	38	ROUTE_F03	urban	marginal	2100	800	2500	42000	cost	cost savings	2024-04-28T10:38:07
FLEET007	DC Fast	2	true	N/A	Clean Ride	Green Cities Mobility	ASSET7001	sedan	electric	2022	active	27.7	ROUTE_G01	city delivery	suitable	380	430	0	0	none	incentives	2024-04-30T17:29:13
FLEET007	Level 1	1	true	Chevy Bolt	Clean Ride	Green Cities Mobility	ASSET7002	sedan	gasoline	2017	maintenance	0	ROUTE_G02	city delivery	marginal	1100	700	1600	37000	infrastructure	cost savings	2024-04-25T11:23:46

What the 45 rows show

from the 45-row sample

None (charging station type) stands out: mean charging_station_count is 0.0, against 2.0 for the rest.

64%charging_infrastructure_available = true
1median charging_station_count
3asset statuses
3route suitability for evs
3ev transition opportunities
4vehicle types

Mean charging_station_count by charging_station_type45 rows

charging_station_count45 rows, in bands of 0.5

Every row with charging_station_count of 1 or more has charging_infrastructure_available = true. None below it.

ev_replacement_model33 rows with a value · 12 left blank

Ford E-Transit6
Nissan e-NV2006
BYD K96
N/A5
Volvo FL Electric2
Tesla Model 32
Chevy Bolt2
Rivian R1T1
Proterra ZX51
Freightliner eCascadia1

23 columns by typefrom the column list below

string 14
integer 2
float 5
datetime 1
boolean 1

Columns

23 columns in four groups

blueprint · 23 columns
column	type	description	example
Text 14 columns
`fleet_id`	string	Unique identifier for the transportation fleetunique	FLEET001
`fleet_name`	string	Name or designation of the fleet	Metro Delivery
`organization`	string	Name of the organization or company operating the fleet	Urban Logistics Inc.
`asset_id`	string	Unique identifier for the individual vehicle or assetunique	ASSET1001
`vehicle_type`	string	Type of vehicle (e.g., van, truck, sedan, bus)4 types	van
`current_fuel_type`	string	Current fuel type used by the vehicle (e.g., diesel, gasoline, hybrid, electric)diesel · gasoline · hybrid · electric · other	diesel
`asset_status`	string	Operational status of the vehicle (e.g., active, retired, maintenance)active · retired · maintenance	active
`route_id`	string	Unique identifier for the route assigned to the vehicleoptional	ROUTE_A01
`route_description`	string	Brief description of the route (e.g., city delivery, intercity, rural)7 descriptions · optional	city delivery
`route_suitability_for_ev`	string	Assessment of route suitability for EV adoption (e.g., suitable, marginal, unsuitable)suitable · marginal · unsuitable · optional	marginal
`charging_station_type`	string	Type of available charging station (e.g., Level 1, Level 2, DC Fast, None)Level 1 · Level 2 · DC Fast · None · optional	Level 2
`ev_replacement_model`	string	Recommended EV model for replacement (if applicable)11 models · optional	Ford E-Transit
`ev_transition_challenge`	string	Key challenge for EV transition (e.g., range, payload, infrastructure, cost, none)6 values · optional	range
`ev_transition_opportunity`	string	Key opportunity for EV transition (e.g., cost savings, emissions reduction, incentives)3 opportunities · optional	emissions reduction
Numbers 7 columns
`model_year`	integer	Model year of the vehicle1,980 to 2,100	2016
`average_daily_mileage`	float	Average number of miles the vehicle travels per day0 or more	53.5
`charging_station_count`	integer	Number of charging stations available at the asset's primary location0 or more · optional	2
`annual_fuel_cost`	float	Annual fuel cost for the asset in local currency0 or more · optional	3900
`annual_maintenance_cost`	float	Annual maintenance cost for the asset in local currency0 or more · optional	1050
`annual_co2_emissions_kg`	float	Estimated annual CO2 emissions for the asset in kilograms0 or more · optional	4200
`ev_replacement_cost`	float	Estimated cost to replace the asset with an EV model0 or more · optional	45500
Dates and times 1 column
`last_updated`	datetime	Timestamp of the last update to this record	2024-04-24T15:32:44
True or false 1 column
`charging_infrastructure_available`	boolean	Indicates if EV charging infrastructure is available for this asset's location/route	true

Use it for

A transportation dashboard
The charging_infrastructure_available rate, charging_station_count by charging_station_type and a breakdown of ev_replacement_model. Excel, Power BI or Tableau.
Why do the 16 None rows have a mean charging_station_count of 0.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Fleets45
FLEET0012Level 2
FLEET0010None
FLEET0013Level 2
A software demo
Believable fleets with fleet_name, organization and asset_id to fill a screen in front of a buyer.

This dataset45 rows23 columns

Yours1,000 rows23 columns

blueprint · fleet-ev-adoption-readiness-dataset

Behind this dataset

Same schema. As many rows as you need.

These 45 rows came out of a blueprint — 23 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 fleet vehicle evaluated for EV transition
Include columns for vehicle type, average daily route distance, current fuel type, age, scheduled replacement year, and maintenance cost
Charging infrastructure availability must be mapped per depot/location
Include 'emissions reduction estimate' calculated for feasible replacements
Flag vehicles/routes requiring infrastructure upgrade before conversion

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: fleet-ev-adoption-readiness-dataset

What should your data show?

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Sample rows

What the 45 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?