About half a year ago I did a post on Airbnb data back when enforcement of the Short Term Rental (STR) regulation came into full effect starting September 2018 and have not really writing things up since then. Probably time for an update post. What has happened since, and what have we learned? Overview Let’s take a look how listings evolved. After the initial purge of listings before the start of enforcement, not much changed.
When we (Denis and Jens) got together for coffee the other day, Denis showed off some maps of renter density in the frequent transit network that he was working on. The idea immediately clicked and we decided to work this out together. Motivated by the issue of renter demoviction caused by the 2017 Metrotown Plan, we set out to quantify how one could plan for displacement on a regional level, instead of treating it as an unwelcome consequence of development at the lot level.
Disclaimer Apologies up front, this is a bit of a hodge podge of a blog post. I have about half a dozen stubs on rental data and affordability that I looked at at some point while trying to understand some aspect of rental affordability. But it’s a large and complex topic, and I never took the time to distill out coherent storylines. Rather than keep pushing things off I decided to grab a couple of relevant pieces and put them together in a short blog post.
(Cross-posted at HomeFreeSociology) Condominium apartments are fascinating! At their heart lies a relatively recent legal innovation enabling individual ownership of units in multi-unit developments. Since their arrival, condominium apartments have become places to build homes, sources of rental income, sites of speculative real estate investment, and experiments in private democratic government. They’re also in the middle of many on-going debates about housing and the future of cities in Canada and around the world.
Aaron Licker asked a good question about this very interesting dataset. twitter-verse where is the data that forms this amazing table from @CMHC_ca: cc @vb_jens @LausterNa @rwittstock pic.twitter.com/iRD65KQdz3 — Aaron Licker (@LGeospatial) November 28, 2018 Unfortunately it is not obvious where to get the raw data, but Keith Stewart at the Vancouver CMHC office was kind enough the share the dataset. So read on to follow my quick look at the data, or just download it if you want to tinker yourself.