What fleets need from utilisation data

Last week, Zapmap ran a great poll (you still can answer if you want) asking the EV community how they would like industry-wide charge point utilisation data to be split:

• 📍 By geography
• 🏬 By location category
• ⚡ By network
• ⏰ By time of day

Each of these lenses is valuable — and we thank Zapmap for putting this question out there. But when we look at the challenge through the eyes of fleet managers, there’s one critical dimension missing: charging speed (AC vs DC, and by power band).

Why charging speed matters most for fleets

For private drivers, geography or network preference may be decisive. But for a fleet manager trying to keep vehicles and drivers productive, the economics come down to one thing: downtime.

• AC charging (7–22 kW) usually means hours off the road.
• DC charging (50–350 kW) can turn a long break into a quick top-up.
• The split across power bands determines how practical public infrastructure is for professional operations.

Without this lens, utilisation data risks missing the insight that really changes the business case for electrification: how fast a fleet can get back on the road.

The EVDecisionCompass view

At EVDecisionCompass, we help fleets model the true economics of electrification — from TCO and taxation to charging strategy. For us, charge point utilisation by speed is not just another metric. It’s the one that defines:

• 🔑 Driver productivity
• 🔑 Operational planning
• 🔑 Total cost of ownership (TCO)

So while we agree with the four splits suggested in the poll, we believe adding AC vs DC utilisation is what would make the dataset genuinely decision-ready for fleets.

👉 Thanks again to Zapmap for sparking the conversation. For fleet managers, the next step is clear: utilisation data that tells us not just where and when chargers are used, but also how fast they can get vehicles moving again.