Stop Chasing Traffic. Start Predicting Utilisation.

Every successful EV charging hub begins long before construction starts. It begins with understand where drivers will actually charge.

A successful EV charging site isn’t found. It’s engineered through data.

Maximising EV charging utilisation isn’t about installing chargers on the busiest roads. It’s about understanding where drivers actually need to stop, charge and spend time.

A few weeks ago, I wrote that the UK’s EV land grab isn’t over. It’s simply become far more selective.

Capital is tighter. Investors are asking tougher questions. Operators are no longer rewarded for deploying the most chargers. They’re rewarded for deploying the right chargers in the right locations.

Which raises a much bigger question.

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What Actually Makes a Great EV Charging Site Location?

The answer is almost certainly not what most people think, traffic is only part of the story

For years, EV charging site selection followed a simple formula.

• Find a busy road.
• Find available power.
• Install chargers.

Unfortunately, the real world doesn’t work like that.

We’ve all seen charging hubs sitting beside major roads with disappointing utilisation, while seemingly less obvious locations quietly outperform expectations every day.

That’s because drivers don’t charge based on traffic volumes. They charge based on behaviour.

Understanding that behaviour is becoming one of the biggest competitive advantages in the industry.

The Best EV Charging Sites Tell a Bigger Story

Every location leaves a digital footprint. Traffic counts tell us how many vehicles pass a site, but that’s only one piece of the picture.

What they don’t tell us is:

• Whether those drivers own EVs
• Whether they can charge at home
• Whether they’re making a long journey
• Whether they’ll stop for twenty minutes
• Whether there’s already too much charging supply nearby
• Whether the site is easy to access and leave

Looking at traffic alone is like valuing a retail unit by counting pedestrians without knowing whether any of them ever go shopping.

Building a Multi-Dimensional View of EV Charging Networks 

At EVN, we’ve moved away from single-variable decision making.

Instead, every potential site is assessed across multiple data layers that combine demand, supply and customer behaviour. We have built a unique tool to ensure our results are based on a repeatable methodology rather than a gut feeling. This allows every potential location to be assessed consistently, helping remove subjectively from investment decisions while enabling meaningful comparisons across multiple sites.

Each site is assessed against factors including:

• Demand (traffic volumes, EV ownership density, household demographics)
• Existing Infrastructure (existing public charging utilisation, local competition, corridor competition)
• Customer Experience (food and beverage offer, accessibility, road connectivity)
• Network Viability (capacity versus local EV demand)

Each factor contributes to an overall weighted score, allowing sites to be compared consistently rather than subjectively.

The Data is Challenging Some Long-Held Assumptions

One of the most interesting findings from our analysis is that more traffic doesn’t always create more utilisation.

In many cases, performance actually plateaus while other factors become increasingly important.

We’ve also found that stronger food and beverage environments consistently outperform weaker amenity locations.

Drivers don’t simply need somewhere to plug in. They need somewhere they’re happy to spend twenty minutes.

The charging experience is increasingly becoming a destination experience rather than a refuelling stop.

EV Charging Site Selection is Becoming an Investment Discipline

Every charging hub represents a long-term infrastructure investment.

A poor decision today can impact revenue for the next twenty years.

That’s why investors are increasingly asking different questions.

Not: “Can this site be built?”

But: “Can this site consistently deliver utilisation, revenue, and long-term returns?”

They’re very different conversations.

For landowners especially, choosing the right site is equally important, influencing long-term utilisation, lease value and overall project success. We explored this further in our latest blog on EV charging for landowners without upfront capital investment.

AI and Data Will Define the Next Generation of EV Charging Networks

The next phase of EV infrastructure won’t be won by the operator with the biggest rollout plan.

It will be won by the operator with the best understanding of demand.

As more utilisation data becomes available, site selection will become increasingly predictive.

Machine learning, behavioural modelling, grid intelligence and real-world charging patterns will enable operators to forecast performance before a charger is ever installed.

The winners won’t necessarily build the most sites. They’ll build the sites that perform the best.

The UK’s charging network still needs significant investment, but every deployment decision matters more than ever.

The future of EV charging site selection lies in combining dozens of data points into a single, evidence-based view of long-term performance.

Because the most valuable charging locations aren’t always the busiest.

They’re the ones where drivers actually stop.

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To learn more about how EVN can support you or your business across the full lifecycle of EV charging infrastructure, from early site strategy through to long-term operation, speak to an EVN expert about your electrification journey today.