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Brandon Donnelly — Daily insights for city builders. Published since 2013 by Toronto-based real estate developer Brandon Donnelly. — Page 846

Cover image for A video tour of the Niemeyer apartment building

A video tour of the Niemeyer apartment building

  • Architecture
  • Belo-horizonte
  • Brasil

In the 1940's, Juscelino Kubitschek invited Brazilian architect Oscar Niemeyer to design a new planned suburb north of Belo Horizonte called Pampulha. Kubitschek was mayor at the time and Niemeyer was a young modernist architect in his 30's. This was the start of an important relationship.

The "Pampulha architectural complex" was completed in 1943 and was widely praised by the international design community. It was included in a 1943 exhibit at the Museum of Modern Art in New York called " Brazil Builds ."

This was an important exhibition for Brazilian architecture and for modernism in general because it demonstrated that the European principles of modernism were traveling (Brazil was one of the first to adopt), and they were evolving. Brazilian architects, such as Niemeyer and Lúcio Costa , had begun to regionalize it and make it their own.

A Brazilian style of modernism was emerging.

By 1956, Niemeyer had become a key figure in the world of modern architecture. At the same time, Juscelino Kubitschek had just become the 21st president of Brazil. Shortly after assuming the position, he would ask Niemeyer to help build a new capital city for the country. This was the birth of Brasilia . Niemeyer designed the buildings. And Costa planned its streets.

A few years before this, Niemeyer would also return to Belo Horizonte to design the "Niemeyer apartment building" at the Praça da Liberdade in the center of the city (and pictured above). It is quintessentially Niemeyer: curved & feminine. Niemeyer despised right angles. He found them harsh and manmade. Everything that is beautiful in nature -- from the mountains of Brazil to the curves of a woman -- was, in his view, sinuous.

But the other thing I really appreciate about it is how its "brise soleils" play with your perception of the building. The building is only 10 storeys. But the sun shades, which some of you may read as balconies, make it look much taller (albeit with some minuscule floor-to-floor heights). The reality is that each floor is made up of 3 breaks. And the overall effect is magical (again, see above photo).

Here is a great video tour of the building by Maíra Lemos , which includes a walkthrough of two of the apartments (note the antechamber in the first). This entire post was to get you ready to watch it. Click here if you can't see it below. (Also, if I made videos , I would want them to be like this one.)

https://www.youtube.com/watch?v=SgSc-yvQPro&feature=youtu.be

Image: Screen grab from the video

Cover image for Median household income vs. health insurance costs

Median household income vs. health insurance costs

  • Axios
  • Economics
  • Federal-reserve-bank

I just came across this chart from Axios , which relies on data from the Federal Reserve Bank of St. Louis and the Kaiser Family Foundation. It compares median household income against the average cost of employer health insurance (in the United States).

What it is saying is that, after adjusting for inflation, the median household income has only increased by 2% from 1999 to 2017, whereas employer health insurance costs have increased by some 121% over this same time period.

The takeaway: Rising healthcare costs are believed to be eating away at take-home pay in the US. As of 2017, health insurance costs were estimated to represent about 30% of the average household income. That feels like a big number to me.

Cover image for Tasty data

Tasty data

  • Beijing
  • Big-data
  • Chinese-cities

A recent study and research paper by the MIT Senseable City Lab -- called, Tasty Data -- has discovered that restaurant data alone can be used to accurately predict location-based factors such as daytime population, nighttime population, number of businesses, and overall consumer spending within a specific geography.

They started by pulling restaurant data from Dianping (Chinese equivalent of Yelp) for 9 Chinese cities: Baoding, Beijing, Chengdu, Hengyang, Kunming, Shenyang, Shenzen, Yueyang, and Zhengzhou. They then paired their Dianping data with other available data (such as aggregated mobile phone data) and used machine learning to search for any correlations.

Below is a diagram of "nighttime population" in Beijing. They are using a 3 km2 grid.

If you're a regular reader of this blog, you'll know that I like these kinds of studies. By 2020, it is estimated that 1.7MB of data will be created every second by every person on earth. The numbers are staggering. And yet, "official" data sources, such as census data, remain slow and fairly limited. Studies like this one continue to show us what's next.

Image: MIT Senseable City Lab

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