Let's say that the school in our study is located at the vertex with an ID of 1 in the newark_osm layer. To visualize the walking time from the students' homes, without releasing sensitive information about where the students actually live, we can create isochron polygons. Each polygon will cover the area that a person can walk from to a single destination within some time threshold.
We'll use DB Manager to create and populate a column for the travel time on each segment at the walking speed; then, we will create a query layer that includes the travel time from each road segment to our school at vertex 1. Perform the following steps:
ALTER TABLE newark_osm ADD COLUMN traveltime_min float8;
UPDATE newark_osm SET traveltime_min = length_m / 6000.0 * 60;
SELECT *
FROM pgr_drivingdistance('SELECT id, source, target, traveltime_min as cost FROM newark_osm'::text, 1, 100000::double precision, false, false) di (seq, id1, id2, cost)
JOIN newark_osm rd ON di.id2 = rd.id;
You can now symbolize the segments by the time it takes to get from that location to the school. To do this, use a Graduated style type with the traveltime_min field. You will see that the network segments with lower values (indicating quicker travel) are closer to vertex 1, and the opposite is true for the network segments with higher values. This method is limited by the extent to which the network models real conditions; for example, railroads are visualized along with other road segments for the travel time. However, railroads could cause discontinuity in our network—as they are not "traversable" by students traveling to school.

Next, we will create the polygons to visualize the areas from which the students can walk to school in certain time ranges. We can use this technique to characterize the general travel time and keep the student locations hidden.
We will need to first convert our current line-based travel time layer to points (centroids), using the polygons as an intermediate step. Perform the following steps:
c4/data/output/newark_isochrone.shp.c4/data/output/isochron_polygon.shpc4/data/output/isochron_polygon.shpc4/data/output/isochrons_centroids.shpNext, we'll create the actual isochron polygons for each time bin. We must select each set of travel time points using a filter expression for the three time periods: 15 minutes or less, 30 minutes or less, and 45 minutes or less. Then, we'll run the Concave hull tool on each selection. This will create a polygon feature around each set of points.
You'll perform the following steps three times for each of the three break values, which are 15, 30, and 45:
cost < [break value] (for example, cost < 15).c4/data/output/isochron45.shp
All concave hulls when displayed will look similar to the following image. The "spikiness" of the concave hulls reflects relatively few road segments (points) used to calculate these travel time polygons:
