Search results for "affordable housing"
- A wider range of building materials will be allowed for construction,
- New sprinkler system and seismic requirements will enhance safety,
- Cost-effective construction of single-family homes will be incentivized,
- There will be greater opportunities to convert existing basements and attics into livable space,
- Additional flexibility for rehab work will be provided, encouraging the preservation of existing buildings,
- The permitting process will be streamlined,
- Newer methods and approaches to construct green buildings will be allowed, and,
- The city will adopt International Building Code standards, making it easier to follow Chicago-specific code requirements.
The Bigger Picture
Mapping Community unveils how public buildings get built in NYC
Architects and developers building across much of Seattle will soon have to meet the city’s new Mandatory Housing Affordability (MHA) requirements, a set of rules passed with a spate of recent comprehensive zoning changes designed to ensure that “new commercial and multifamily residential development contributes [new] affordable housing.”
The MHA regulations were approved this spring and are expected to add over 6,000 new low-income housing units to the city’s housing stock over the next decade. The changes are part of the city’s Housing Affordability and Living Agenda, a three-pronged effort undertaken by city agencies several years ago to increase housing supply in order to stem escalating rents and property values across the thriving region. The fiercely contested changes in land use will allow for a greater level of residential density in many of the city’s neighborhoods and will ask builders to either include affordable housing on-site or pay into a general fund that can be used by city agencies to create new affordable housing in other areas.
The new regulations span five categories of development density, from low-rise detached and row house neighborhoods to taller mixed-use districts where buildings will be allowed to rise to a height of 95 feet or more. The efforts will upzone roughly 6 percent of the city’s single-family zones. Single-family zones ultimately make up over 80 percent of the city’s residential areas.
MHA regulations, according to planning documents provided by the City of Seattle, will be pegged to the degree of upzoning that takes place: Under the plan, areas that have been upzoned most significantly will be required to add a relatively higher proportion of new affordable housing. The required fees administered in lieu of on-site affordable housing construction will start at $5.58 per square foot for projects located in low-rise areas outside downtown Seattle and will go as high as $35.75 per square foot for larger mixed-use developments, according to city agencies.
The requirements will necessarily affect the work of architects designing buildings in these areas, but it is so far unclear exactly how. The MHA requirements are set to go into effect immediately, as the city’s rezoning initiatives are approved on a neighborhood-by-neighborhood basis.
Stalled California housing bill could give architects chance to redesign the state’s cities
Today was a great example of what can be accomplished w/ a #GreenNewDeal!New building w/: ✅ Not-for-profit senior housing ✅ Universal pre-k in building (intergenerational community!) ✅ Built w/ cutting-edge “Passive House” eco methods🌱 ✅ 90% cleaner than standard buildings https://t.co/9Qpkk4rnHA — Alexandria Ocasio-Cortez (@AOC) May 29, 2019
Location, location, location
How Baidu Maps turns location data into 3-D cityscapes—and big profits
Level 3, number 203. Turn right 10 feet. Go straight for 15 feet. The best way to experience data's strong grip on everyday life in China is to open up Baidu Maps, a mapping app by China’s biggest search engine company, and walk around a shopping mall for one afternoon. Inside the building, a network of Bluetooth beacons, Wi-Fi modems, and satellites from a global navigation satellite system whir and ping through the air and the ionosphere to determine your precise location. The map on the Baidu app tilts to reveal an elaborately modeled 3-D cityscape.
The resolution of Baidu Maps is stunning: Entire cities are modeled in 3-D. Within public buildings, the floorplan of each building level is precisely mapped. As I stand inside the Taikoo Hui Mall in the city of Guangzhou, China, I search for a store within the mall. Baidu Maps reveals which level the store is on and how many meters I need to walk. Strolling through the mall with the app tracking my location with a blue dot on the screen, life starts to feel like a virtual reality experience. The difference between the map's 3-D model and the reality beneath my feet is smaller than ever. The 3-D model makes an uncanny loop: Virtual models were used by architects and designers to design these spaces, which now unfold on a messy plane between real space and screen space.
China now has its own tech giants—Alibaba, JD.com, Tencent Holdings, and Baidu—homegrown behind the Great Firewall of China. Like their American counterparts, these companies have managed to surveil their users and extract valuable data to create new products and features. Baidu began as a search engine, but has now branched out into autonomous driving, and therefore, maps. The intricacy of its 3-D visualizations is the result of over 600 million users consulting the app for navigation every day or using apps that rely on Baidu Maps in the background, such as weather apps that rely on its geolocation features.
The tech company, like its counterparts such as Google, take advantage of multiple features available in smartphones. Smartphones possess the ability to determine users’ positions by communicating with an array of satellites such as GPS (Global Positioning Service); GLONASS, Russia’s version of GPS; or BeiDou, China’s satellite navigation system. Such satellite systems are public infrastructures created by American, Russian, and Chinese governments, respectively, that enable our phones to determine users’ precise longitude and latitude coordinates. The majority of apps and services on smartphones rely on location services, from food delivery to restaurant reviews. However, satellite navigation systems are still imprecise—they are often a few meters off, with anything from the weather to tall buildings affecting accuracy.
However, smartphones contain more than satellite signal receiver chips. A slew of other sensors, such as accelerometers, light sensors, and magnets are embedded in the average smartphone. In 2015, Baidu invested $10 million in IndoorAtlas, a Silicon Valley startup that specializes in indoor mapping. The company's technology is at the forefront of magnetic positioning, which allows indoor maps at 1-meter accuracy to be created simply by using an average smartphone. This technology relies on the Earth's geomagnetic field and the magnets in smartphones. By factoring in the unique magnetic "fingerprint" of each building based on the composition of its materials, such as steel, a building's floor plan can be mapped out without any data provided by the architect. However, this strategy requires user data at scale; multiple user paths need to be recorded and averaged out to account for any anomalies. Gathering large amounts of data from users becomes an imperative.
Floorplans aside, magnetic positioning is not the only dimension of user location data collection that allows data to become a spatial model. As people drive, bike, and walk, each user generates a spatial "trace" that also has velocity data attached to it. Through such data, information about the type of path can be derived: Is it a street, a sidewalk, or a highway? This information becomes increasingly useful in improving the accuracy of Baidu Maps itself, as well as Baidu's autonomous vehicle projects.
The detailed 3-D city models on Baidu Maps offer data that urban designers dream of, but such models only serve Baidu's interests. Satellite navigation system accuracy deteriorates in urban canyons, due to skyscrapers and building density, obscuring satellites from the receiver chip. These inaccuracies are problematic for autonomous vehicles, given the "safety critical" nature of self-driving cars. Baidu's 3-D maps are not just an aesthetic “wow factor” but also a feature that addresses positioning inaccuracies. By using 3-D models to factor in the sizes and shapes of building envelopes, inaccuracies in longitude and latitude coordinates can be corrected.
Much of this research has been a race between U.S. and Chinese companies in the quest to build self-driving cars. While some 3-D models come from city planning data, in China's ever-changing urban landscape, satellite data has proved far more helpful in generating 3-D building models. Similar to Google's 3-D-generated buildings, a combination of shadow analysis, satellite imagery, and street view have proved essential for automatically creating 3-D building models rather than the manual task of user-generated, uploaded buildings or relying on city surveyors for the most recent and accurate building dimensions.
None of this data is available to the people who design cities or buildings. Both Baidu and Google have End User License Agreements (EULAs) that restrict where their data can be used, and emphasize that such data has to be used within Baidu or Google apps. Some data is made available for computer scientists and self-driving car researchers, such as Baidu's Research Open-Access Dataset (BROAD) training data sets. Most designers have to rely on free, open-source data such as Open Street Maps, a Wikipedia-like alternative to Baidu and Google Maps. By walling off valuable data that could help urban planning, tech companies are gaining a foothold and control over the reality of material life: they have more valuable insights into transport networks and the movements of people than urban designers do. It's no surprise then, that both Baidu and Google are making forays into piloting smart cities like Toronto’s Quayside or Shanghai's Baoshan District, and gaining even greater control over urban space. No doubt, urban planning and architecture are becoming increasingly automated and privately controlled in the realm of computer scientists rather than designers.
In Shoshana Zuboff's 2019 book, The Age of Surveillance Capitalism, she examines how tech companies throughout the world are employing surveillance and data extraction methods to turn users into free laborers. Our “behavioral surplus,” as she terms it, becomes transformed into products that are highly lucrative for these companies, and feature proprietary, walled-off data that ordinary users cannot access, even though their labor has helped create these products. These products are also marketed as “predictive,” which feeds the desires of companies that hope to anticipate users’ behavior—companies that see users only as targets of advertising.
Over the past several years, American rhetoric surrounding the Chinese “surveillance state” has reached fever pitch. But while China is perceived to be a single-party communist country with state-owned enterprises that do its bidding, the truth is, since the 1990s, much of the country’s emphasis has been on private growth. Baidu is a private company, not a state-owned enterprise. Companies like Baidu have majority investment from global companies, including many U.S.-based funds like T. Rowe Price, Vanguard, and BlackRock. As China's economy slows down, the government is increasingly pressured to play by the rules of the global capitalist book and offer greater freedom to private companies alongside less interference from the government. However, private companies often contract with the government to create surveillance measures used across the country.
The rhetoric about the dangers of Chinese state surveillance obfuscates what is also happening in American homes—literally. As Google unveils home assistants that interface with other “smart” appliances, and Google Maps installed on mobile phones tracks user locations, surveillance becomes ubiquitous. Based on your location data, appliances can turn on as you enter your home, and advertisements for milk from your smart fridge can pop up as you walk by the grocery stores. Third-party data provider companies also tap into geolocation data, and combined with the use of smart objects like smart TVs, toasters, and fridges, it's easy to see why the future might be filled with such scenarios. Indeed, if you own certain smart appliances, Google probably knows what the inside of your home is like. In 2018, iRobot, the maker of the Roomba vacuum, announced that it was partnering with Google to improve the indoor mapping of homes, and now setting up a Roomba with Google Home has never been easier. Big tech companies in the U.S. would like us to believe that surveillance is worse elsewhere, when really, surveillance capitalism is a global condition.
Over the past 30 years, cities around the world have been the locus of enormous economic growth and corresponding increases in inequality. Metropolitan areas with tech-driven economies, such as the Shenzhen-Guangzhou-Hong Kong corridor and the Greater Bay Area, are home to some of the largest tech companies in the world. They are also home to some of the most advanced forms of technological urbanism: While Baidu may not have every single business mapped in rural China, it certainly has the listing of every shop in every mall of Guangzhou.
The overlap between cities as beacons of capital and as spaces where surveillance is ubiquitous is no coincidence. As Google’s parent company, Alphabet, makes moves to build cities and as Baidu aggressively pursues autonomous driving, data about a place, the people who live there, and their daily movements is increasingly crucial to the project of optimizing the city and creating new products, which in turn generates more wealth and more inequality. Places like San Francisco and Shenzhen are well-mapped by large tech companies but harbor some of the worst income gaps in the world.
The "smart city" urbanism enabled by surveillance and ubiquitous data collection is no different from other forms of development that erode affordable housing and public space. Reclaiming our cities in this digital age is not just about reclaiming physical space. We must also reclaim our data.
Decks (over) and Yards
After Hudson Yards, Sunnyside could be New York's next megadevelopment
Lawrence Halprin and William “Holly” Whyte both published books in the 1960s that highlighted the ad hoc and often bottom-up design decisions that make cities successful for their users and inhabitants. Facing the massive Nieman Marcus–emblazoned steel and glass street wall that greets visitors entering Hudson Yards from 10th Avenue, the lessons of Halprin and Whyte seem a quaint reminder of how city building has changed in the past 50 years. Hudson Yards, or as its developers like to call it, “New York’s next great neighborhood,” is not so much an accretive, incremental part of the city, but a pop-up assemblage of high-rise corporate boxes surrounding a shopping mall. There is little here that would interest Halprin or Whyte about how to design a city.
As America’s white middle class was abandoning the city for the suburbs, the authors wanted to rediscover and celebrate the joys of high-density living. Gentrification has gone from an obscure English academic theory to a popular derisive term to describe how our cities are being organized, planned, and developed. In New York City in 2019, even affordable housing has been handed over to large corporate entities, much as it was in the 19th century, when tenements proliferated and developers were allowed to do as they wished with their property holdings.
The urban critics writing about Hudson Yards yearn for a seamless Whyte-inspired urban fabric that gives as much as it takes from the city. Sadly, the Yards are described, variously, as “an urban failure,” a “$25 billion enclave,” “too clean, too flat, too art-directed,” and “a vast neoliberal Zion.” But how could it have been otherwise? It was conceived, planned, and designed by a corporation with little interest in anything but short-term profit, and it proceeded with little input from community boards, elected officials, or planners. The community boards had all been bludgeoned for years by proposals for sports stadiums on the site, and they gave the go-ahead to the first proposal that promised housing and a school, even if that meant luxury towers. Without serious input from community boards and city planners, this new quarter of the city was destined for failure. Developers only begrudgingly accepted the High Line—one of the most successful top-down planning projects of the past 25 years—into its 14 acres of “public” space when pushed hard by the department of city planning. The High Line, to its credit, makes provision for the sort of urban happenstance that we like about cities, and we can be thankful it wends its way through Hudson Yards and does not stop at its perimeter. The short High Line spur, with its still unfinished plinth for a rotating case of public sculptures, visible overhead to cars driving up 10th Avenue, is the sort of unexpected condition that makes the city richer. Unfortunately, the gigantic footprints of the Hudson Yards buildings and their corporate lobby design aesthetic makes it impossible for any bottom-up ad hoc events to take place.
A major problem for the Yards is that it sits on a 28-acre concrete pad and underground infrastructure complex that precludes any urban use that doesn’t generate billions of dollars in income. It’s the same problem faced in varying degrees by the World Trade Center site and Park Avenue, but these seem like triumphs of urban design compared to Hudson Yards.
Sadly, this blueprint for city building on concrete pads (and its economic and financing formula) may be the model for the next big development site in the city, Sunnyside Yard, as New York’s Economic Development Corporation (EDC) has already begun planning its future. It was identified as a potential development site in Mayor Bill de Blasio’s 2030 plan, and the 180-acre site in western Queens is not far from Manhattan and the growing centers of Long Island City, Astoria, and Queens Plaza. It potentially has 19 million square feet of retail, commercial, residential, and mixed-use spaces, and has been identified by the EDC as a place that could potentially house up to 24,000 homes, 19 schools, and 52 acres of public parks.
In February 2017, the city unveiled a feasibility study of the Sunnyside Yard area, which showed that decking was in fact possible, and that there were various scenarios in which a development of the site could move forward. But again, expensive decking will almost certainly preclude anything but corporate high-rise offices and luxury residential towers with commercial and open space, exactly like that at Hudson Yards.
Sunnyside Yard sits next to one of the most important residential developments in the United States, Sunnyside Gardens, designed by Henry Wright and Clarence Stein of the Regional Planning Association of America (RPAA). If only the planners for Sunnyside Yard could look next door and have the expertise and nerve to propose something as revolutionary as the RPAA did in the 1920s. But let’s not hold our breath—we are more likely to get another version of Hudson Yards on this public land.