Forget smart cars; we should at least have smart traffic lights everywhere

Getting to the point where most or all American drivers have safe and reliable driverless cars will take time. In the meantime, why don’t we have smart traffic lights or at least every traffic light operating with sensors?

There are several intersections near my house and work that clearly do not have sensors. You pull up in your vehicle and regardless of time of day or how many others want to go the same way as you do, you will wait a full light cycle. Some of these lights are one to one and a half minutes long. Sometimes this makes sense: one road clearly has more cars. Yet, often this full period passes with few to no cars going through the light.

But, let’s go further. I’ve also run into situations where the sensors might just be too sensitive. This occurs particularly between 9 PM and 5 AM when traffic is light on major roads. A single vehicle wanting to turn onto the major road can stop traffic. If you have a few of these on a single trip, this can be frustrating. Why not have coordinated light signals along major corridors? Cities and suburbs do not necessarily have to go to full-blown smart systems that hope to coordinate all traffic; even just doing this on a few main roads with significant amounts of traffic could help ease congestion.

Perhaps one issue is cost: what municipalities or other governments (depending on who has jurisdiction over the road) want to spend money on sensors and devices? One of the supposed benefits of driverless cars is that they will allow for more flowing traffic through coordination across vehicles. However, in that scenario the cost of less congestion is pushed to the car owners who have to purchase such a vehicle. Sensors at major intersections or at all intersections would not require anything or much from drivers. Yet, I bet you could make an argument that putting money into better intersections will be a cost savings in the long run with less time spent in traffic.

Living inside and outside Facebook and Google’s new developments

Online and physical realms will collide even more in new developments Facebook and Google are planning:

Willow Village will be wedged between the Menlo Park neighborhood of Belle Haven and the city of East Palo Alto, both heavily Hispanic communities that are among Silicon Valley’s poorest. Facebook is planning 1,500 apartments, and has agreed with Menlo Park to offer 225 of them at below-market rates. The most likely tenants of the full-price units are Facebook employees, who already receive a five-figure bonus if they live near the office.

The community will have eight acres of parks, plazas and bike-pedestrian paths open to the public. Facebook wants to revitalize the railway running alongside the property and will finish next year a pedestrian bridge over the expressway. The bridge will provide access to the trail that rings San Francisco Bay, a boon for birders and bikers…

Facebook is testing the proposition: Do people love tech companies so much they will live inside of them? When the project was announced last summer, critics dubbed it Facebookville or, in tribute to company co-founder Mark Zuckerberg, Zucktown

Google will build 5,000 homes on its property under an agreement brokered with Mountain View in December. Call it Alphabet City as a nod to Alphabet, Google’s corporate parent. The company said it was still figuring out its future as a landlord, and declined further comment.

Throw Apple in the mix – as this article does – and these tech companies are doing something unique in Silicon Valley: looking to develop campuses that are around-the-clock and provide housing for employees. Few companies would even think of such a plan and I could imagine many workers would have serious reservations regarding living in facilities provided by their company.

But, there is one distinguishing feature of these new developments that complicate this already-unique story: the particular geographic context in which these physical developments are located. This is an area that already has a tremendous level of inequality with limited affordable housing and some of the poorest and richest living near each other. Tech companies like these three have brought tremendous wealth and notoriety to the area and have also exacerbated issues. What responsibility do these large companies have to the local area? The article mentions Steve Jobs’ claim in front of a local government that a good company is only required to pay taxes.

I suspect physical developments from these companies would be treated differently elsewhere, particularly in places that are desperate for jobs or economic energy. The case of a Google development in Toronto will offer an interesting contrast in how local residents and officials respond. Or, we see what cities are willing to offer to Amazon for a large facility.

Additionally, the idea that corporate campuses or facilities should be open to or available to the public is an interesting one to consider. There are already numerous areas that are actually private spaces that function more like public spaces (think of shopping malls or some of the urban parks that Occupy Wall Street found out were actually private land). But, it is different to ask that an office building or housing for employees also be available to the public. I wonder if there is a company that will lead the way in this and tout the benefits of having employees and the public interact as well as share their corporate benefits with others.

26% of adult Americans online “almost constantly,” 43% “several times a day”

New data from Pew reveal how often Americans are online:

Not surprisingly, more use was related to more use of mobile devices, youth, more education, and more money.

Two additional thoughts:

  1. The difference between “almost constantly” and “several times a day” is worth considering. I would be a good example of someone who works in an office for much of the day and is online there but also has significant amounts of time when I am not online (at home as well as longer periods at work). I would say more than “several times a day” but “almost constantly” isn’t quite true either. This is where some observational data or tracking people through their device use would be particularly helpful.
  2. Only 11% of Americans say they are online less than daily. This means that those who are online – the vast majority of American adults (89%) – are online quite a lot. The Internet truly is part of everyday life.

Now, we will see how long before the majority of Americans fall into the “almost constantly” category. It may not be very long at all.

Can you be opposed to Walmart in your community but not Amazon?

Alana Semuels compares the fight of Greenfield, Massachusetts and other New England towns against Walmart and other big box stores to a struggle with shopping on Amazon. The story begins and ends with an activist who led the fight in Greenfield against Walmart:

Al Norman has been fighting to keep Walmart and other big-box retailers out of small towns like this one for 25 years. He’s been successful in Greenfield, his hometown and the site of his first battle with Walmart, and in dozens of other towns across the country—victories he documents on his website Sprawl-Busters, an “International Clearinghouse on Big Box Anti-Sprawl Information.” Partly because of Norman’s efforts to keep out such stores, Greenfield still has a Main Street with dozens of businesses, including a bookstore, a record store, and Wilson’s, one of the last independently owned department stores in the country.

But Norman and business owners in Greenfield are noticing that the Main Street stores are now struggling in the face of another force that’s become more and more powerful in recent years: e-commerce…

But the challenge posed by online shopping to local businesses is immense. Even Al Norman, who refuses to shop at Walmart, says he doesn’t have the same aversion to Amazon, in part because he thinks the internet is the future of shopping. His wife has a Prime account, and he recently ordered tea from the website when he couldn’t find it locally, he said, adding that he has no plans to organize protests or zoning meetings about Amazon. He doesn’t love the idea that some of his money is going to Jeff Bezos, “the richest human around,” as he refers to the Amazon founder, and so still shops locally whenever possible. He doesn’t know whether he’ll still be doing that in a decade. When he launched the first campaign against Walmart in Greenfield 25 years ago, he led activists with bumper stickers that said, “If you build it, we won’t come.” He knows the same can’t be said for Amazon, because shoppers, including him, are already there.

Can a community oppose Walmart and not Amazon? Here are some of the common complaints against Walmart and other big box retailers:

  1. Land use, particularly the large parking lots and the contribution to sprawl and driving as well as issues with water and open space.
  2. A negative influence on local businesses. Walmart’s prices and options made it an attractive place to shop compared to local small businesses.
  3. A detrimental effect on local social life, ranging from decaying downtowns that used to be at the center of civic life to low wage jobs affecting health care systems and local wealth.
  4. The wealth generated by large corporations located somewhere else with little visible impact on communities where stores are located.

Do these same concerns apply to Amazon? They could: Amazon’s warehouses and other facilities take up space, it certainly affects local businesses, it encourages less social interaction as you can shop from home, and Amazon has tremendous revenues (and its founder, like the Waltons, have tremendous wealth). But, it seems like the fact that Amazon is “somewhere else” compared to the big box stores – the physical footprint of Amazon touches fewer communities that all the locations of Walmart, Target, Home Depot, and others – means that people can support it without feeling as bad about its negative effects on communities. Because it is viewed as being online, Amazon is an issue for only some communities and not many.

Yet, I think an argument could be made that Amazon and other online retailers can shape local conditions even more than big box stores or other local retailers. The Internet makes it possible to act as if we are in a completely placeless world (even though this is not true) and to leave certain problems for others to solve in other places. Only in certain circumstances, like when cities fight to offer Amazon a great tax break or deal in order to become home to a second headquarters or groups in Silicon Valley express frustration about mammoth tech headquarters, are we reminded that even Internet companies affect communities.

To be consistent, big box retailers and Internet retailers both threaten local communities and smaller businesses. One may be more obvious than others and they offer different kinds of conveniences but both can contribute to a less civically minded and placed America.

Can we expect an authenticity backlash after report of fake online followers?

“The Follower Factory” in the New York Times details how many public figures and social media users purchase followers.

The Times reviewed business and court records showing that Devumi has more than 200,000 customers, including reality television stars, professional athletes, comedians, TED speakers, pastors and models. In most cases, the records show, they purchased their own followers. In others, their employees, agents, public relations companies, family members or friends did the buying. For just pennies each — sometimes even less — Devumi offers Twitter followers, views on YouTube, plays on SoundCloud, the music-hosting site, and endorsements on LinkedIn, the professional-networking site.

The actor John Leguizamo has Devumi followers. So do Michael Dell, the computer billionaire, and Ray Lewis, the football commentator and former Ravens linebacker. Kathy Ireland, the onetime swimsuit model who today presides over a half-billion-dollar licensing empire, has hundreds of thousands of fake Devumi followers, as does Akbar Gbajabiamila, the host of the show “American Ninja Warrior.” Even a Twitter board member, Martha Lane Fox, has some.

At a time when Facebook, Twitter and Google are grappling with an epidemic of political manipulation and fake news, Devumi’s fake followers also serve as phantom foot soldiers in political battles online. Devumi’s customers include both avid supporters and fervent critics of President Trump, and both liberal cable pundits and a reporter at the alt-right bastion Breitbart. Randy Bryce, an ironworker seeking to unseat Representative Paul Ryan of Wisconsin, purchased Devumi followers in 2015, when he was a blogger and labor activist. Louise Linton, the wife of the Treasury secretary, Steven Mnuchin, bought followers when she was trying to gain traction as an actress.

Devumi’s products serve politicians and governments overseas, too. An editor at China’s state-run news agency, Xinhua, paid Devumi for hundreds of thousands of followers and retweets on Twitter, which the country’s government has banned but sees as a forum for issuing propaganda abroad. An adviser to Ecuador’s president, Lenín Moreno, bought tens of thousands of followers and retweets for Mr. Moreno’s campaign accounts during last year’s elections.

The incentives to do this are high: not only can these purchased followers act on the behalf of the purchaser, media accounts regularly highlight the number of friends or followers a user has. These counts are one of the important social markers of status online. If you are not actively trying to boost these counts by multiple means, you are falling behind.

If so many public figures then have purchased followers, then will we see an authenticity backlash? Imagine a scenario where Twitter or LinkedIn offers a special badge that all of your friends and followers are authentic people. Or, public profiles will include an estimate of how many followers are actual users. Then, it is not only about how many followers you have but rather how many are “real” people. The irony may be that even if you have “real” followers, the sort of interactions you have with them in the online realm can be quite different than offline interactions.

Would the public care to have such metrics? News of paid followers has been available for years. (For example, see earlier posts here and here.) Would they act differently toward certain users or profiles if they knew where they came from? In a world full of paid or compensated online reviews, fake followers, and who knows what else (targeted Facebook ads? Google search results just for you?), perhaps we are already past the point of no return.

Black Mirror portrays a future in sleek, modernist structures

In watching episodes of Black Mirror, I noticed a pattern in the buildings and streetscapes depicted on the show: they are often modernist. There could be multiple factors behind this:

  1. This is how Western society often portrays the future: in contemporary structures comprised of glass and steel and with sharp lines and minimalist decor. This trend goes back decades with modernist architects and culture producers from the early 1900s to today exercising a significant influence on what we think the future should look like.
  2. This particular vision of a future in modernist buildings also allows the show to hint at the problems with future technologies. While everything may look impressive, these modernist spaces can be perceived as cold and unwelcoming. When discussing the show’s title, creator Charlie Brooker said, “The “black mirror” of the title is the one you’ll find on every wall, on every desk, in the palm of every hand: the cold, shiny screen of a TV, a monitor, a smartphone.”
  3. Many of the episodes are set in England. Perhaps the architecture there is indeed different than what is found in many American locales. Perhaps local residents and organizations are more open to modernist architecture. I’ve argued several times before in this blog – here is one example – that average Americans tend not to like modernist architecture for their own dwellings.
  4. The plot lines for the episodes tend to involve futuristic technology created by tech companies. Tech companies in modernist buildings seems to make sense. The campuses of Silicon Valley, such as the new Apple headquarters, as well as their retail locations, such as the new Apple store on the riverfront in Chicago, reflect these design choices.

Could you have a show about futuristic technology that takes place in older homes and buildings? Would this seem too anachronistic? For better or worse, much of the near future (think at least the next few decades) will take place in structures built decades before the Internet, smartphones, and driverless vehicles. Indeed, some people may want to live and work in these older structures because of their character and history even as they also enthusiastically embrace the modernist dictates of new technologies to be thin, sleek, and modernist.

More details on Google’s urban plans for Toronto development

Google’s plans for a Toronto neighborhood have been in the works for a while and here are more details:

A self-contained thermal grid would recirculate energy from non–fossil-fuel sources to heat and cool buildings, while a food-disposal system would keep food waste out of landfills. For cars and trucks, Quayside would be less hospitable than other areas in the city: Part of the neighborhood would prohibit non-emergency vehicles entirely, while bike-share stations, transit stops, and cycling and walking paths—kept useable through the Canadian winter with sidewalk snow melters and automated awnings—would offer “efficient alternatives to driving, all at lower cost than owning a car.” An autonomous transit shuttle would rove some streets. (Waymo, a leading developer of self-driving-vehicle software, is also an Alphabet subsidiary.)

Buildings would be largely prefabricated using eco-friendly materials, to cut back on waste. With a “strong shell and minimalistic interior,” they could be adapted to multiple uses, morphing from residential to retail to industrial, and back again. To support such a futuristic vision, Quayside would test a novel “outcome-based” zoning code focused on limiting things like pollution and noise rather than specific land uses. If it doesn’t bother the neighbors, one might operate a whiskey distillery in the middle of an apartment complex…

Yet what has drawn the most concern and curiosity with regards to Quayside is a uniquely 21st-century feature: a data-harvesting, wifi-beaming “digital layer” that would underpin each proposed facet of Quayside life. According to Sidewalk Labs, this would provide “a single unified source of information about what is going on” to an astonishing level of detail, as well as a centralized platform for efficiently managing it all…

It’s the kind of all-seeing urban omniscience that would stir the heart of any utopia builder. But to whom, and how, would this data be made available? And what would such an arrangement mean for any Quaysider who doesn’t wish to be monitored? In Toronto and beyond, the depth and details of the data collection have sparked public debate. At the first public forum on the project, and in a list of questions related to the project compiled by the journalist Bianca Wylie at Torontoist, privacy questions and fears have come up again and again.

This is a good mini test case for tech companies entering the urban development realm. The questions raised by residents and local officials should not be surprising: does such a company have the best interests of the community and residents at heart or is this primarily a profit-making enterprise based on intense data collection?It is interesting to consider how this might go in an American city. The proposed project is in Toronto, a prosperous Canadian city that is now larger than Chicago. How would such plans for Google be received in San Francisco or Austin, cities known as tech hubs? Or, in contrast, might there be more open arms in a city that needs development help, such as Cleveland or Detroit? I suspect the move to develop property in Toronto was very intentional yet the outcome could be quite different if positioned in a different North American city.

 

Towns that restrict road access to app users only address the symptoms and not the bigger issue

The decision in a New Jersey suburb to fight back against drivers directed to their streets by apps raises all sorts of questions:

In mid-January, the borough’s police force will close 60 streets to all drivers aside from residents and people employed in the borough during the morning and afternoon rush periods, effectively taking most of the town out of circulation for the popular traffic apps — and for everyone else, for that matter…

But Leonia is not alone. From Medford, Mass. to Fremont, Calif., communities are grappling with the local gridlock caused by well-intentioned traffic apps like Waze, which was purchased by Google in 2013 for $1.15 billion.

Since Waze uses crowd sourcing to update its information, some people — frustrated at the influx of outside traffic — have taken to fabricating reports of traffic accidents in their communities to try to deter the app from sending motorists their way. One suburb of Tel Aviv has even sued Waze, which was developed by an Israeli company….

“It’s a slippery slope,” said Samuel I. Schwartz, the former traffic engineer for New York City known as Gridlock Sam, and the author of the early 1990s book “Shadow Traffic’s New York Shortcuts and Traffic Tips.” “Waze and other services are upsetting the apple cart in a lot of communities. But these are public streets, so where do you draw the line?”

See an earlier post about a Los Angeles neighborhood that raised similar objections.

I can see the reasoning by small communities: the roads are partly or mostly paid for through local tax dollars and thus they should primarily be reserved for the use of locals. These sorts of situations can become big deals in suburbs where residents are often resentful of ways that their local tax monies serve others.

At the same time, this hints at a larger issue: efforts like this by single communities could end up having deleterious effects on the region as a whole. What if every suburb or community employed such tactics? Traffic would only be worse. This then suggests a metropolitan approach is needed to tackle these congestion issues. This might be difficult to do considering how local residents like to hold onto their own monies but drivers across the region might be too mad at that point to care if there are no alternative routes. The best way to tackle this issue may be to lobby for more mass transit and decreased reliance on cars in the New Jersey suburbs.

The problem of archiving the Internet may be just the first problem; how do we make causal arguments from its contents?

Archiving the Internet so that it can understood and studied by later researchers and scholars may be a big problem:

In a new paper, “Stewardship in the ‘Age of Algorithms,’” Clifford Lynch, the director of the Coalition for Networked Information, argues that the paradigm for preserving digital artifacts is not up to the challenge of preserving what happens on social networks.

Over the last 40 years, archivists have begun to gather more digital objects—web pages, PDFs, databases, kinds of software. There is more data about more people than ever before, however, the cultural institutions dedicated to preserving the memory of what it was to be alive in our time, including our hours on the internet, may actually be capturing less usable information than in previous eras…

Nick Seaver of Tufts University, a researcher in the emerging field of “algorithm studies,” wrote a broader summary of the issues with trying to figure out what is happening on the internet. He ticks off the problems of trying to pin down—or in our case, archive—how these web services work. One, they’re always testing out new versions. So there isn’t one Google or one Bing, but “10 million different permutations of Bing.” Two, as a result of that testing and their own internal decision-making, “You can’t log into the same Facebook twice.” It’s constantly changing in big and small ways. Three, the number of inputs and complex interactions between them simply makes these large-scale systems very difficult to understand, even if we have access to outputs and some knowledge of inputs.

In order to study something, you have measure and document it well. This is an essential first step for many research projects.

But, I wonder if even it can all be documented well, what exactly would it tell us about behaviors and aspirations? Like any “text,” it may be difficult to make causal arguments based on the artifacts of our Internet or social media. They are controlled by a relatively small number of people. Social media is dominated by a relatively small number of users. Many people in society interact with both but how exactly are their lives changed? The history of the Internet and social media and the forces behind it is one thing; it could be fascinating to see how the birth of the World Wide Web in the early 1990s or AOL or Facebook or Google are all viewed several decades into the future. But, it will be much harder to clearly show how all these forces affected the average person. Did it change personalities? Did day-to-day life change in substantial ways? Did political opinions change? Did it disrupt or enhance relationships? What if Twitter dominates the media and the lives of 10% of the American population but little impact on most lives?

There is a lot here to sort out and a lot of opportunities for good research. At the same time, there are a lot of chances for people to make vague claims and arguments based on correlations and broad patterns that cannot be explicitly linked.

Google Street View, machine learning, and social patterns

I have wondered why more researchers do not make use of Google Street View. Here is a new study that connects vehicles in neighborhoods with voting patterns and demographics:

Abstract: The United States spends more than $250 million each year on the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race, gender, education, occupation, unemployment, and other demographic factors. Although a comprehensive source of data, the lag between demographic changes and their appearance in the ACS can exceed several years. As digital imagery becomes ubiquitous and machine vision techniques improve, automated data analysis may become an increasingly practical supplement to the ACS. Here, we present a method that estimates socioeconomic characteristics of regions spanning 200 US cities by using 50 million images of street scenes gathered with Google Street View cars. Using deep learning-based computer vision techniques, we determined the make, model, and year of all motor vehicles encountered in particular neighborhoods. Data from this census of motor vehicles, which enumerated 22 million automobiles in total (8% of all automobiles in the United States), were used to accurately estimate income, race, education, and voting patterns at the zip code and precinct level. (The average US precinct contains 1,000 people.) The resulting associations are surprisingly simple and powerful. For instance, if the number of sedans encountered during a drive through a city is higher than the number of pickup trucks, the city is likely to vote for a Democrat during the next presidential election (88% chance); otherwise, it is likely to vote Republican (82%). Our results suggest that automated systems for monitoring demographics may effectively complement labor-intensive approaches, with the potential to measure demographics with fine spatial resolution, in close to real time.

And a little more explanation from a news source:

The researchers created an algorithm to identify the brand, model and year of every car sold in the US since 1990.

The types of cars also provided information about the race, income and education levels of a neighborhood, the study said.

Volkswagens and Aston Martins were associated with white neighborhoods while Chryslers, Buicks and Oldsmobiles tended to appear in African-American neighborhoods, the study found.

This study seems to do two things that get at different areas of research:

  1. Linking lifestyle choices to voting behavior as well as other social traits. Researchers and marketers have done this for decades. For example, see this earlier post about media consumption and voting behavior. This hints at the work Bourdieu who suggested class status is defined by cultural tastes and lifestyles in addition to access to resources and power.
  2. Connecting different publicly available big data sets to find connections. Google Street View is available to all and election outcomes are also accessible. All it takes is a method to put these two things together. Here, it was a machine learning algorithm by which different kinds of vehicles could be identified. It would take humans a long time to connect these pieces of data but algorithms, once they correctly are identifying vehicles, can do this very quickly.

Of course, this still leaves us with questions about what to do with it all. The authors seem interested in helping facilitate more efficient national data-gathering efforts. The American Community Survey and the Dicennial Census are both costly efforts. Could machine learning help reduce the effort needed while providing accurate results? At the same time, it is less clear regarding the causal mechanisms behind these findings: do people buy pick-up trucks because they are Republican? How does this choice of a vehicle fit with a larger constellation of behaviors and beliefs? If someone wanted to change voting patterns, could encouraging the purchase of more pick-up trucks or sedans actually change voting patterns (or are these more of correlations)?