Land use

Teardowns and Emissions

Analysing the impact of Vancouver's teardown cycle on carbon emissions.

Jens von Bergmann

15 minute read

Demolitions Middle Finger

Last year we took a detailed look at Single Family teardowns in Vancouver, that is houses in RS or “Single Family” zoning that got torn down. We focused exclusively on those homes in RS zoning because these have to be replaced by another, often bigger, Single Family home. Using historical data we build a probabilistic model to predict future teardowns in Vancouver. If you haven’t taken the time yet to read through the data story, you probably should do that right now.

Building Height Profiles

Building heights by distance from city centre.

Jens von Bergmann

2 minute read

Jim has been using the Copernicus building height data for select European cities to understand the height profiles of cities. Building heights by distance from city centre in London and Paris, from 2012 EU Copernicus data. On average, buildings in Paris are taller throughout. pic.twitter.com/rtGiiBC7pd — Jim Gleeson (@geographyjim) May 11, 2018 We thought these were pretty cool. Sadly we don’t have a dataset like this for Canadian metro areas, but we can hack together something similar using LIDAR survey data.

The Vienna Model

Comparing Vancouver and Vienna Land Use

Jens von Bergmann

5 minute read

Over the backdrop of Vancouver’s rising real estate values the exhibition of the “Vienna Model” at the Museum of Vancouver has triggered lots of discussions about what Vancouver could learn from cities like Wien. There are many angles to approach this, one of them that has received a lot of attention is the much larger proportion of government owned subsidized housing in Wien compared to Vancouver. In this post we want to focus on a different angle: land use.

SDH Zoning and Land Use

How much land do single detached and duplex houses consume?

Jens von Bergmann

7 minute read

Recently the question around the amount of space taken up (exclusively) by single detached houses has show up on my Twitter feed citing that SFH take up 70%, 66%, and 57%, 56% (timestamp 3:50). I personally have thrown in 34% as a contender. And, just for the fun of it, by the end of this post I will have thrown 33% and 28% and my favorite, 81%, into the mix.

Property Taxes and Land Use

Visualizing tax density and land use.

Jens von Bergmann

5 minute read

Since I started thinking about tax density, the amount of property taxes collected per area, I always felt that the data presentation in the map fell short. Property taxes are somewhat insulated from the ups and downs of the real estate market as they are need-based and the mill rate changes to flatten out the crazyness of the market. But what they lack in interesting patterns over time they more than makes up for in interesting patterns in space.