A classic multi-criteria analysis methodology was conducted for this project. The factors identified are: location of existing EV charging stations, population density, land use. Before conducting the analysis, the three factors were normalized.

Normalization of factors

Figure 5. Normalized EV ports by number per charging station in Metro Vancouver with a cell size of 170m

Figure 6. Normalized land use in Metro Vancouver with a cell size of 270m

Normalized EV ports and land use were converted into raster using the Feature to Raster tool.

Figure 7. Normalized population density in Metro Vancouver as a vector

Figure 8. Normalized population density in Metro Vancouver as a raster with a cell size of 270m

Population density was first normalized as a vector then converted into a raster using the Polygon to Raster tool.

Weights

Weighted importance of each of the three factors was chosen using the analytical hierarchical approach. The weights are as follows:

Figure 9. Weights of the three factors using the analytical hierarchical approach

As there were issues with using the number of existing EV ports factor in the multi-criteria analysis, this factor was omitted and the new weights are below:

Figure 10. Weights of land use and population density using the analytical hierarchical approach

The land use layer also had its classes consolidated into fewer classes and weighted by importance. Classes were cut down from 24 to 12 classes using python to rename old classes  to new classes by building a dictionary.

Figure 11. Weighted land use classes using the analytical hierarchical approach