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Big Data: The Latest Architecture and News

"Array of Things" is A Ray of Hope for Big-Data-Based Urban Design

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For a number of years now, Smart Cities and Big Data have been heralded as the future of urban design, taking advantage of our connected, technological world to make informed decisions on urban design and policy. But how can we make sure that we're collecting the best data? In this story, originally published on Autodesk's Redshift publication as "'Array' of Possibilities: Chicago’s New Wireless Sensor Networks to Create an Urban Internet of Things," Matt Alderton looks at a new initiative in Chicago to collect and publish data in a more comprehensive way than ever before.

If it hasn’t already, your daily routine will soon undergo a massive makeover.

For starters, when your alarm clock goes off, it will tell your coffeemaker to start brewing your morning joe. Then, when you’re on the way to work, your car will detect heavy traffic and send a text message to your boss, letting her know you’ll be late. When you arrive, you’ll print out the agenda for today’s staff meeting, at which point your printer will check how much ink it has left and automatically order its own replacement cartridges.

At lunch, you’ll think about dinner and use your smartphone to start the roast that’s waiting in your slow cooker at home. And when you come home a few hours later, your house will know you’re near, automatically turning on the lights, the heat, and the TV—channel changed to the evening news—prior to your arrival. It will be marvelous, and you’ll owe it all to the Internet of Things (IoT).

Tech, Big Data, and the Future of Retail Design

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With the rise of the internet, old-fashioned brick-and-mortar stores have struggled, as online ordering services have increasingly made it unnecessary to actually go to a store. The answer for the physical stores of the future? Make spaces not for purchasing the things people need, but experiencing the things people want, as explored in this article by Matt Alderton originally published on Autodesk's Redshift publication as "How Technology and Big Data in Retail Are Shaping Store Designs of the Future." Alderton looks at how forward-looking stores are being designed to appeal to customers, finding that the same technology revolution that threatened to make stores obsolete might also play a key role in saving them, too.

Shopping used to be stimulating. Although its end was sales, its means was a mix of status and spectacle. It was social commerce in which partakers transacted not just cash, but also cachet.

Nowhere was this more evident than in the earliest department stores, whose architects designed them to be destinations. In London, for instance, Harrods boasts the motto “Omnia, Omnibus, Ubique”—Latin for “All Things for All People, Everywhere.” Established in 1849, it has seven floors, comprising more than 1 million square feet across more than 330 departments. The store installed one of the world’s first escalators in 1898, opened a world-famous food hall in 1902, and sold exotic pets such as lion cubs until the 1970s.

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Using Big Data to Determine the Extent of China's Ghost Cities

In recent decades, China has undergone the most dramatic urban migration in the history of the world, so you might be forgiven for thinking all that is required from urban planners is to "build it and they will come," so to speak. However, as the Western media often reports with much schadenfreude, China's unprecedented urban explosion has not come without a few missteps, and many new cities are widely claimed to be "ghost cities," empty of residents even as more gigantic apartment blocks are being built. Such stories are usually accompanied by anecdotes of empty public spaces and a rough count of the number of homes left in the dark at night, but little further empirical data. So exactly how underpopulated does a city have to be to be a "ghost city," and just how rife are such places in China?

As reported by MIT Technology Review, one Chinese web company has started looking for answers to just such questions. Baidu, effectively a Chinese version of Google, has used their "Big Data Lab" to investigate the commuting patterns of their 700 million users, establishing exactly which cities are dramatically underpopulated.

NYU and Hudson Yards to Use Big Data to Improve Cities

New York University’s Center for Urban Science and Progress has teamed up with the developers of Hudson Yards to transform the future 28-acre mixed-use neighborhood into the nations first “quantified community.” As Crain’s New York reports, the aim is to “use big data to make cities better places to live.” Information, from pedestrian traffic to energy production and resident activity levels, will be collected in order to study how cities can run efficiently and improve quality of living. You can read more on the subject, here.

Software Engineers Map All the Buildings in the Netherlands

The Waag Society, together with designer and software engineer Bert Spaan, have put the Netherlands back on the map - the data map. After several months of coding and design, the partnership has managed to account for all 9,866,539 buildings in the country, visualized in varying colors to identify old and new buildings. After a user clicks on a specific block, additional building and city information displays square footages, addresses, populations and programs, among other stats. Users can navigate from Amsterdam to the Hague experiencing hundreds of years of urban development along the way, from the pre-1800s to post-2005 buildings, indicated by the red to blue gradient.