For this analysis, we calculated the Walkscore and Transitscore for each neighborhood and created a table that presents the results at a glance. Then we sorted the table from highest to lowest Walk Score using the more refined StreetSmart Walkscore method. Street Smart uses a more sophisticated algorithm than the Standard "crow-fly distance" Walkscore. More details on how this works can be found here.
The table shows the results of the analysis. The best performing areas were color-coded as green, while areas of decreasing walkability (meaning fewer amenities to walk to and/or inadequate street network connectivity) are shown in shades of yellow and pink further down the list.
This table is not comprehensive, but provides a good starting point for constructing a network of 20-minute neighborhoods.
What other places should be added to the list? Let us know and we will calculate their Walkscore and Transitscore.
Next up will be using the analysis to date to begin looking at scenarios for connecting places together via Primary Transit Network and bikeways.