Analyses

     1. Analysis Objective

This analysis enables you to find the best locations for your charging stations.
Access analyses of weekly and daily vehicle traffic, the addressable market for electric vehicles, the competitive and commercial environment, and nearby destination sites.

     2. Methodology and Computation

The data we work with comes directly from connected vehicles, via the vehicle manufacturers. It is then adjusted using our proprietary algorithms, based on open-source data and manual counting campaigns carried out by Mytraffic.

• For each country, vehicle data is based on the last full year available on the market.
• The socio-demographic indicators are updated on the 8th of each month, as they are based on origin, which changes each month, so certain areas will be weighted more heavily.
• Points of interest and competition correspond to data from our last update.

💡For more information on our methodology and calculations: Vehicle traffic.

     3. Synthesis tab

This tab shows you the key elements and summaries for each of your assets. Identify the most interesting location(s) according to your criteria in a wink.

To start, select the type of charging station (1) you want to implement. You can choose between slow charging (< 22kW), fast charging (> 22kW and < 100kW) or rapid charging (> 100kW).

The weighting and target score for each indicator vary according to the type of station to be installed:

• Rapid charging: very high traffic levels, a large number of electric vehicles in the catchment area, little competition and many points of interest nearby.
• Fast charging: high traffic levels but fewer electric vehicles in the catchment area, little competition and many points of interest nearby, with visitors staying for short periods.
• Slow charging: low traffic, few electric vehicles and people who stay for a long time.

Depending on your criteria, you can choose the type of recharging you prefer.

The indicators presented are as follows:

• MyTraffic Score: We calculate a compatibility score for each of the locations with the type of station chosen. This score is an absolute score, enabling a comparison between all the locations in the same country. The calculation is based on all the indicators shown in the table.

0% to 25%: poor, 25% to 50%: good, 50% to 75%: very good, 75% and 100%: excellent.

• Traffic: traffic on the busiest road in the neighbourhood. We detect the busiest section of road (in one direction if it is a road with a median, in both directions otherwise).
• EV addressable market: Number of electric vehicles in the object's catchment area. This indicator corresponds to the actual addressable market for electric vehicles at the location.
• Visitors socio-demo: % of inhabitants in the 4th & 5th income quintiles in the object's catchment area.
• Points of interest: number of points of interest in the chosen category in the neighbourhood.
• Competition: number of charging stations of the chosen minimum power in the neighbourhood.

💡To determine the catchment area, we analyse the actual areas of origin and calculate the average of this data over the last two months. Then, over the last twelve months, we look at where users are coming from.

➡️ Example of interpretation:

We are looking at 4 rue Jules Lefebvre as a location for a fast-charging station.

• Mytraffic score: 66%. The location is very attractive, being between 50% and 75%.
• Traffic: on average, the busiest road in the area carries 8,100 vehicles a week.
• EV addressable market: the addressable market for this location is 410,111 electric vehicles, which represents the number of potential customers.
• Visitors socio-demo: 50% of residents are in the 4th and 5th income quintiles in the catchment area.
• Points of interest: in total, there are 162 points of interest in the chosen category in the district.
• Competition: there are no recharging stations of the minimum capacity chosen in the neighbourhood.

In summary, this location is interesting because it has a high level of traffic and a large number of electric vehicles (410,111) in the catchment area. In addition, there are many nearby points of interest (162) and half the residents are in the desired category. Finally, there is no competition nearby.

     4. Traffic and commercial environment tab

This tab gives you an instant assessment of the immediate commercial environment of each location, which you can choose from the drop-down menu (1) on the right of the page.

This page is divided into 2 distinct parts.

The table on the left (2) provides a summary of indicators relating to traffic and retail locations:

• Traffic on the customised section: average daily traffic on the section of road set up when the project was created.
• Area traffic: average daily traffic on each section of road within a radius of 1 km. If part of the section is within the radius, the entire section is taken into account.
• Traffic on the main segment: average daily traffic on the busiest road segment within a radius of 1 km.
• Competitors: number of charging stations with at least one charging point higher than the selected capacity within a radius of 1 km.
• Points of interest: number of points of interest in the selected categories within a radius of 1 km.

The map on the right (3) represents a heat map and shows the traffic density within a 20-minute isochrone by car around the point of interest. It also shows a number of related items of information:

• The red dots represent the competing stations with the distribution of charge points by type and power.
• The dark blue dots represent single points of interest.
• The light blue points represent points of interest associated with a destination site (see dedicated section 6). Click on a point, then on ‘Add asset’ to find the destination site in the dedicated page (4th tab), and exclusive analyses.

➡️ Example of interpretation :

• Traffic on the customised section: on average per day, traffic on the section analysed is 1,300 vehicles.
• Traffic in the area: on average per day, traffic on all the road sections within a radius of 1 km represents 4,000 vehicles.
• Traffic on the main segment: average daily traffic on the busiest stretch of road within a 1km radius is 19,800 vehicles.
• Competitors: there are 37 charging stations with at least one charging point above the selected power level within a radius of 1 km.
• Points of interest: there are 308 points of interest (selected categories) within a radius of 1 km.

 

     5. Catchment area dynamics tab

The table on the left (1) shows the origin of visitors to the area of each location and provides information on the profile of these visitors and the actual addressable market for electric vehicles:

• EV in the area: number of electric vehicles registered in the town of the location analysed.
• EV catchment area: number of electric vehicles in the catchment area of the location.
• EV penetration rate: in the town or in the catchment area, based on all the areas of origin, we calculate the proportion of electric vehicles in relation to the total number of registered vehicles.
• Target visitors: % of inhabitants in the 4th & 5th income quintiles in the object's catchment area.

For each location analysed, the catchment area corresponds to the geographical zone identified by a colour (see legend). The map on the right (2) shows the zones of origin of visitors to each of the locations (corresponding to the catchment area) as well as the number of electric vehicles and target inhabitants in these zones of origin. The origin is calculated over the last 12 months.

A solid-coloured area indicates a leading position, a hatched area indicates that visitors go to several locations.

Hover over an area with your mouse (3) to obtain the following information:

• Weighting of target visitors for the object (distribution of the percentage of visitors
• Number of electric vehicles in the area
• Penetration rate of electric vehicles
• Target visitors

➡️ Example of interpretation :

• EVs in the area: Paris 9 has 3,884 registered vehicles.
• EVs in the catchment area: in the whole catchment area, there are 410,100 electric vehicles.
• EV penetration rate: for every 100 vehicles in Paris 9, 9.3 are electric vehicles. In the total catchment area, 3.2% of registered vehicles are electric.
• Target visitors: 54% of the district's residents are in the 4th and 5th income quintiles in the asset's catchment area.

• Weighting of target visitors for the asset: of the 54% of target visitors, 10% come from Paris 9.
• Number of electric vehicles in the area: Paris 9 has 3,884 electric vehicles.
• Penetration rate of electric vehicles: out of every 100 vehicles in Paris 9, 9.3 are electric vehicles.
• Target visitors: 71% of Paris 9 residents are target visitors, but Paris 9 is responsible for only 10% of target visitors in the catchment area.

     6. Destination site

This page allows you to analyse the commercial sites in the vicinity of the evaluated locations, after they have been added via the ‘Traffic and Commercial Environment’ page.

The indicators are available in 2 views:

• Aggregate view :
• Pedestrian flow - monthly average: shows the average footfall within each site.
• Visit duration - average over the last 12 months: indicates the average time spent by visitors in minutes. This data is calculated over the last 12 months.
• Detailed view: allows you to follow the evolution of the number of visits over the last 12 months. Move your mouse over the graph to see the average flow per month.