Two days ago we took a first look at motor vehicle traffic counts, now it is time to turn to pedestrian lights. Everyone knows the “beg buttons” that pedestrians need to push for the pedestrian signal to turn green. If you forget to push the pedestrian light might stay red even if parallel motor vehicle traffic has a green light, all in the name of efficiency of motor vehicle traffic.
Nathan Lauster just opened up an interesting way to look at CHSP data – by folding in the SFS. I have played with SFS data in the past but it clearly is time to revisit this and reproduce Lauster’s numbers. Let’s also fold in census estimates for that to see how these numbers match up. I have nothing to add to the excellent commentary from Lauster’s original post, so please head over there for good context of these estimates.
School has started, and with it debate about people driving their kids to and from school is flaring up. And again people are questioning how much traffic is caused by this. As someone who bikes to school with his son every day I am keenly aware of the traffic mess around schools. But since I choose not to drive regularly, I don’t have a feeling for broader traffic patterns on non-school days to compare this too.
Smarter people than I have already responded to the recent furor about John Rose’s working paper, which is (part of?) the result of one year of research on affordability by the author, arguing that Vancouver has no supply problem. Most notably Nathan Lauster in a series of blog posts taking a look at the theoretical framework and methods used and running some numbers himself. I don’t have much to add to the first post, which took the time to highlight some of the useful demand measures that are either already implemented or currently under discussion and makes the point that the idea that we have enough housing in Vancouver, especially enough rental housing, requires an extraordinarily strong argument in the face of sub 1% rental vacancy rates.
Recently there has been a lot of talk about households, and how they match up with dwelling units. So it’s probably a good idea to take a closer look at what a household is. Apart from better understanding what a household is, I want to also dig deeper into how people live in households. Part of my motivation is to start to understand latent demand in our housing market, some of which may come from suppressed household formation.