(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) We’re getting better and more accessible datasets for exploring land use change all the time. We have played with the Global Human Settlement Layer (GHSL) data in the past, where we looked at the population data on a 250m grid to compare how different city’s population distribute spatially, as well as the 1975, 1990, 2000, 2015 time series to see how it changed over time.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) TLDR We estimate the land value lost by lot subdivision restrictions in the RS (single-family) zoned lands of Vancouver. These restrictions, also known as the zoning tax, subsidize hoarding of land for the wealthy at the cost of those who wouldn’t mind sharing. We conservatively estimate the overall cost of preventing splitting of lots at $43 billion, or an average of 37% of existing lot land value.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) Informal housing While housing is highly regulated via zoning bylaws, building code, and fire code, in situations of housing scarcity we often get informal housing that exists outside of - or only partially covered by - the existing regulatory framework. We often associate slums or shantytowns with the term informal housing, but it also applies to more organized settlements like Kowloon Walled City, or, in the context of subterranean Vancouver, a good portion of our secondary suite stock.
Metro Vancouver is growing, both in terms of population and jobs. That means the number of people commuting to work is growing and putting a strain on our transportation system. The nature of that strain depends to a large extent on how people are getting to and from work. The Canadian census started collecting data on how people get to work in 1996, which allows us to see how commuters and commute choice have changed over time.
After our recent posts on multi-census comparisons I was pointed to a semi-custom tabulation for census timelines back to 1971 for Vancouver and Toronto. That’s data for the 1971, 1981, 1986, 1991, 1996, 2001, 2006 and 2011 censuses on a common 2016 DA geography for the two CMAs. This is really cool, not just that it eliminates the need to tongfen the geographies, but in particular because Statistics Canada does not even haven publicly available geographic boundary files for censuses before 2001.