April 3rd, 2013 by ant6n
Showing Populations near Montreal Rail Stations
walksheds are the area around a particular point of interest from where people are willing to walk to said point of interest. This point of interest is often a transit station, and the walkshed gives an idea how many people will reach the station on foot. While the walkshed depends on how walkable the area is, whether there are barriers like freeways, the geometry of the street grid, and how attractive the transit station is (people are willing to walk further to metros compared to bus stops), The area is often simplified as a circle around the transit station.
How much population lives within the walkshed gives an indication on the ridership of the transit line, the more people live in it – the more ridership can be expected. The corollary is that you want as much population within walksheds as possible.
If there are more people near the transit station, it reduces the reliance on feeder buses and park’n'rides (a reduction in park’n'rides also means more land within the walksheds is available for development). This will reduce both the cost of transportation services that have to be offered, and will increases the chances that people use transit – which will reduce the cost of required infrastructure like roads and parking spots, but will also decrease the burden on the environment.
The above visualization shows the population within 800m (1/2mile) of Montreal transit stations. This is considered a reasonable distance that people are willing to walk to a rail station. Picking this distance for all stations makes the comparison between stations easier, even if the actual walksheds may be different depending on how walkable the areas are. Also, a circle with 800m radius has about 2 square km of area, so by dividing the number by two, we get the population density (in people per square km).
In the image, we can see that many metro stations have more than 20 thousand people living near them, corresponding to more than 10 thousend people per square km. Compare that to the a density of 3.7K people/km² for the whole island of Montreal, 7.7 people/km² for the borough of Côte-des-Neiges–Notre-Dame-de-Grâcee, and 12.3K people/km² for the Plateau. The highest population is near station Cote-Ste-Catherine, the 2nd most populous is Mont-Royal, then Guy-Concordia (which also includes the most densest spot in Montreal).
We see that the commuter rail stations generally don’t have many people living near them, especially off the island. Some stations are directly next to highways, others are surrounded by a sea of parking, others are in the middle of nowhere. There is quite a deficit in Transit Oriented Development near many of the commuter rail stations, a missed opportunity. In many places, development would be a better use of station-adjacent land, compared to parking lots, or very low density development.
The most populous commuter rail stations outside of the inner city are on the Deux-Montagnes line, at least up to Roxboro – the Deux Montagnes line is the the only electrified line, has the most trains, and by far the most ridership. Some of the stations rival metro stations in terms of population density. Other populous stations are on the Blainville line, at least up to de la Concorde – it would seem that this stretch could also be a candidate for electrification, possibly more infill stations and much more frequent service (incidentally that would also help relieve congestion on the orange line).
What is interesting is that some metro stations have surprisingly little population near them. The missed development opportunities may not just exist near the commuter rail stations, but near the metro network itself. While some of those metro stations are also directly next to highways (like de la Savane) and have limited development opportunities, others are in very suburban looking areas that could probably be densified (like Assomption).
The data was created using the Canadian census data (from 2011), the gtfs for the STM and AMT was used to find the station locations. And a disclaimer: the stations are considered completely independently; so population of very close stations may be “counted” more than once.