Reference Guide for Installing Slow Charging Stations

Purpose of This Guide

This guide supports users in leveraging the Station Selector module within MyTraffic to assess and validate locations for the installation of slow charging stations (typically <22 kW).

Synthesis Tab

Raw charging potential: This insight does not depend on the physical sizing of the station. Instead, it indicates the minimum achievable kWh potential at a given location, derived from analyzing key characteristics such as traffic volume, population density, and proximity to relevant points of interest.

Predicted charge and Metrics Impact:

It represents the average daily volume of kWh expected to be sold at the entire station over the first year of operation.

The prediction is computed using the historical performance of more than 100,000 charging points, analyzed across 50 different features.

A higher predicted charge indicates that the location has strong potential for slow charging (AC). This typically occurs in areas where key factors are present, such as:

• High population density (residential neighborhoods, apartment complexes without private charging facilities).
• Long dwell time in places like office buildings, train stations, hotels, or residential areas where vehicles remain parked for several hours.
• Local EV adoption and purchasing power, which influence both the number of potential users and their charging behavior.
• Presence of leisure and service destinations (POIs) where customers spend extended time (cinemas, gyms, restaurants, supermarkets).
• Existing charging infrastructure mix, where slow charging complements nearby fast chargers by serving different use cases, but is also affected by local slow charging stations presence.

By considering these factors alongside the predicted charge metric, users can better assess whether a site is well-suited for slow charging installations.

Predicted number of sessions: Average number of daily sessions in the entire station during the year following implementation.

Core Insights to Focus On for Slow Charging Stations

Traffic & Commercial Environment

• Traffic Volume: Still useful, but less critical than for fast/rapid chargers.
• Points of Interest (POIs): Target residential areas, places where users stay longer and can charge over time.
• Competitor Chargers: Identify gaps where slow charging can complement existing rapid/fast infrastructure or serve unmet needs.
   

Destination Sites (if applicable)

• Review monthly footfall and average dwell time in retail or service settings.
• Prioritize locations where users typically stay for over 1 hour.
   

Catchment Area Dynamics

• Population Density: A key driver for slow charging; denser areas have higher overnight/workplace charging potential.
• Purchasing Power: Indicates EV affordability and readiness.
• EV Penetration & Target Market: Use to evaluate local demand and adoption trends.
   

High Potential Location Characteristics

• Residential neighborhoods without widespread home charging.
• Workplace parking zones.
• Long-stay public or leisure parking (e.g., parks, transit hubs).
• Mixed-use or retail destinations with extended visit durations.
   

Best Practices and Strategic Tips

• Prioritize Residential Density: Best suited for overnight or daytime charging.
• Avoid High-Turnover Zones: Fast-moving retail or transit hubs are better for rapid charging.
• Benchmark Smartly: Use metrics from existing high-performing slow charger locations.
• Validate EV Readiness: Confirm EV penetration—even in dense or urban neighborhoods.
• Use Filters: Apply POI categories and distance-based filters to improve target accuracy.
   

Recap: Priority KPIs for Slow Charging Deployment

Metric	Importance
Population Density	Very High
EV Penetration in Catchment	High
Purchasing Power	High
Target Market for EVs	High
Points of Interest (Universities, Parks)	High
Average Traffic in Area	Medium
Max Traffic Nearby	Medium
Destination Site Footfall/Dwell	Medium
Competitor Presence	Strategic Insight