EV Network
Expansion Strategy
Where should an EV charging network expand next? This case study converts public infrastructure data into a transparent market-prioritization framework—separating existing network density from corridor-grade fast-charging coverage and turning the result into an executive expansion recommendation.
Not “where are the chargers?”
Instead: where does infrastructure appear strategically underbuilt relative to the role a market or corridor could play?
Different infrastructure solves different problems.
A destination Level 2 charger, a highway DC-fast site and a corridor-qualified fast-charging location should not receive equal strategic weight. The first step is segmenting the network before ranking markets.
Unique charging location; useful for geographic reach.
Charging capacity at a location; prevents a 2-port and 20-port site from looking identical.
Higher strategic weight for rapid-turn mobility and corridor use cases.
Separate lens for infrastructure meeting federal corridor dataset filters.
Raw station records → strategy-ready market table.
Electric
Public access
Available/planned split
Network names
Missing port counts
Coordinates
Duplicate locations
Total EVSE
DC-fast share
Ports / station
Station age
City / market
State
Network
Facility type
Coverage gap
Fast-charge gap
Corridor value
Expansion score
A transparent score, not a black box.
35% × Coverage Gap
30% × DC-Fast Gap
20% × Corridor Relevance
15% × Network White Space
Each component normalized 0–100.
Why these weights?
Coverage gap receives the most weight because the project is explicitly about network expansion rather than charger popularity. DC-fast gap distinguishes strategically useful rapid charging from raw station count. Corridor relevance adds intercity mobility value. Network white space asks whether a market is already crowded with infrastructure.
The weights are deliberately visible and adjustable. A real investment decision would add utilization, traffic, EV registrations, land/power economics, permitting, competitive intelligence and forecast demand before capital approval.
See the whitespace before reading the ranking.
This visual is a strategy mock-up showing how the finished analysis is read. Marker size/priority would be driven by the calculated market score after ingesting the AFDC export; it is not presented as a DOE map.
Amber = candidate whitespace lens
Illustrative until AFDC export is scored
The output should rank opportunities—not just visualize stations.
The scoring table below is intentionally labeled as the model design. Once the AFDC station export is loaded, these placeholders become calculated market results rather than manually entered claims.
Turn the ranking into a capital-allocation conversation.
Whitespace markets
Markets with material coverage/fast-charge gaps and strategic corridor relevance move into site-level diligence.
High-demand cores
Mature markets may still warrant capacity additions where station count masks insufficient fast-charging depth.
Low strategic return
Do not chase geographic coverage for its own sake when demand, power economics or competitive saturation weaken the business case.
What came from DOE—and what I did to it.
Source data
- DOE Alternative Fuels Data Center / Alternative Fueling Station Locator
- Electric station status and public/private access
- Level 1, Level 2 and DC-fast port counts
- Charging network and connector types
- Latitude / longitude and location fields
- Open date, confirmation/update fields and facility type
- Alternative Fuel Corridor qualifying-station dataset as a separate strategic lens
My transformations
- Filter to relevant electric/public infrastructure
- Standardize null port counts and network categories
- Create total ports and DC-fast share
- Aggregate station and port density by market
- Separate corridor-grade infrastructure from general station inventory
- Normalize strategy dimensions to a 0–100 scale
- Apply explicitly documented portfolio weights
- Rank markets and translate results into Expand / Densify / Defer decisions
Strategy is the bridge between analysis and action.
Translate infrastructure density into expansion choices.
Distinguish markets, corridors and geographic whitespace.
Use explicit assumptions instead of hiding judgment inside a score.
End with where to expand, densify or defer—and what diligence comes next.