Archinect - News

Google updates Open Buildings data sets using AI

2024-10-28T10:46:00-04:00

In 2021, the Google Research Africa team launched Open Buildings, an open-source dataset of building footprints across the Global South produced using AI and high-resolution satellite imagery. The team had a simple vision: to fill a major gap in data for population and density in the developing world. Now in its third version, their dataset contains polygons for 1.8 billion buildings over an area of 58 million km² in Africa, South and Southeast Asia, Latin America and the Caribbean.

The data is useful in determining population size and other factors to solve urban density problems.

Google's Research product manager Olivia Graham says: "About 2.5 billion more people could move to cities by 2050, most of them in the Global South — this could be a real step change for governments and organizations working through that growth. If a city is planning where to put essential services like healthcare and education, or where to develop infrastructure like water and energy supplies, this dataset shows the areas that are actively growing."

The data can be explored via a searchable map using that's accessed here.

How the data collected by dockless bikes can be useful for cities (and hackers)

2018-10-05T14:37:00-04:00

In the 18 months or so since dockless bike-share arrived in the US, the service has spread to at least 88 American cities. (On the provider side, at least 10 companies have jumped into the business; Lime is one of the largest.) Some of those cities now have more than a year of data related to the programs, and they’ve started gleaning insights and catering to the increased number of cyclists on their streets.

Technology Review writer Elizabeth Woyke looks at ways how city planners in Seattle, WA and South Bend, IN use the immense stream of user-generated location data from dockless-bike-sharing programs to improve urban mobility — and how hackers could potentially access and abuse this (supposedly anonymous) information. "In theory, the fact that people can park dockless bikes outside their exact destinations could make it easier for someone who hacked into the data to decode the anonymous identities that companies assign their users," Woyke writes.

Sidewalk Labs' Toronto waterfront smart city raises dystopian concerns

2018-08-10T14:40:00-04:00

Sidewalk’s vision for Quayside — as a place populated by self-driving vehicles and robotic garbage collectors, where the urban fabric is embedded with cameras and sensors capable of gleaning information from the phone in your pocket — certainly sounds Orwellian. Yet the company contends that the data gathered from fully wired urban infrastructure is needed to refine inefficient urban systems and achieve ambitious innovations like zero-emission energy grids.

Last fall Sidewalk Labs, a Google-affiliated company, announced plans to build a new smart city model on 12 acres of the Toronto waterfront named Quayside. The design would include infrastructure with sensors and data analytics with the claim of building an overall more streamlined, economical, and green urban space. Sidewalk Labs' partnership with Canada is the beginning of an urban model they hope to expand globally.

While the goal may look utopian, many see an ominous future where governance is under threat rather than the projected promise of urban innovation. Concerns center around tech monopolies, the collection and commodification of city data, and a democratic process of decision making for our environments.

Geographer Federico Caprotti on the “new urban citizen” in data-driven urban planning

2017-08-25T20:51:00-04:00

What if new technology further exacerbates urban inequality, especially among those on the wrong side of the digital divide? [Geographer Federico Caprotti of the University of Exeter] sees the world heading toward a notion of a “new urban citizen”, one that continually provides data, which may leave out those who are unable or unwilling to contribute.

Citiscope interviews geographer and smart-city researcher Federico Caprotti, who co-wrote an academic paper in response to the U.N.'s approval of the New Urban Agenda last year. Caprotti shares his thoughts on the rise of the “new urban citizen”, as well as the hidden inequalities that data-driven urban planning and management could potentially worsen.

Copenhagen is the first city to try to monetize its data

2016-06-09T13:29:00-04:00

Copenhagen has become the first city in the world to attempt to monetize its, and others’, data through a city data market. Traffic snarl-ups, home break-ins, whether it rained or snowed, and how much electricity the city dwellers use each day is among the data to be traded for cash, city officials announced. Interestingly, the city, which is partnering with Hitachi on the project, also wants to incorporate others’ data.

"Not all data will have a price tag—some of it will be free, but it will be anonymized anyway."

Relatedly, in a recent conversation with Joseph Grima, co-founder of Space Caviar, the architect suggested, "...the home is becoming a factory of data to the point that one could pay one's rent through the process of producing data simply through a set of domestic activities."

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This month, Archinect's coverage includes a special thematic focus, Privacy. Have projects that grapple with how city data and other new modes of urbanism have changed our notion of privacy? Submit to our open call by Sunday, June 19.