Also posted on Resilience
For a hundred years the auto industry has held out visions of a trouble-free future for drive-everywhere society – and that future is always about 20 years away. Peter Norton urges us to see the current hype about automated vehicles in the cold light of the failed promises of the past.
American automakers had a problem in the 1920s. Cars were selling well in rural areas, but in the cities – home of a steadily growing share of the population – cars were meeting a lot of resistance.
Parking was scarce, streets were full of people, drivers usually had to go slow – and they still managed to kill a shocking number of pedestrians. Cars weren’t very convenient in cities, and there was so much public outrage over killings that many cities were considering severe restrictions on car use.
The response, Peter Norton writes in Autonorama, came from the coalition of automakers, car dealers, drivers, oil companies, and road builders he refers to as “motordom”. Their strategy had both long-term and short-term prongs. First, it was necessary to win public acceptance of the radical idea that city streets should be generally cleared of pedestrians so that cars could routinely drive faster. Second, local, state and federal governments had to be persuaded to invest millions, and soon billions, in widening streets and in building entirely new highways, not only between cities but within cities.
These long-term efforts, however, wouldn’t keep sales up in the short term. As Norton explains,
“No matter what the expenditure on roads and highways, in no given year could it deliver marked improvement. What was needed was a clear vision of a more distant and idealized future toward which motordom was striving. The promise of future perfection can buy tolerance of present affliction.” (Autonorama, from Island Press, October 2021, page 29)
To present this “clear vision of an idealized future”, motordom turned to creative minds in advertising, theater and film-making. During the 1930s, GM, Ford and Shell sponsored increasingly elaborate presentations of future cities where everyone drove, everywhere, without a hint of traffic congestion, and in perfect safety. The process culminated in Futurama, by far the most popular exhibit at the 1939 New York World’s Fair. In Norton’s view, the Futurama template has been revived periodically by motordom ever since. “Autonorama”, the heavily hyped story that “autonomous vehicles” will soon take over our roads, while ending crashes, congestion and emissions, is the latest iteration of a marketing fantasy now several generations old.
By the late 1950’s, one element of the strategy had been largely accomplished: new standards in traffic engineering had enforced auto dominance on streets, and had defined any delay to drivers – caused, of course, by all the other drivers – as an unacceptable cost to all society which should be remedied by public expenditure on roadways. A second strategic element – a vast new highway-building project – had been approved and was under construction.
Yet traffic congestion grew as rapidly as the number of cars on the roads and streets, as did the numbers of crash casualties. It was time for a new round of Futurama, and motordom answered the call with language that remains familiar all these years later.
“Automobile accidents will be eliminated completely”
In a 1958 episode of Disneyland sponsored by the Portland Cement Association, the narrator intones,
“As Father chooses the route in advance on a push-button selector, electronics take over complete control. Progress can be accurately checked on a synchronized scanning map. With no driving responsibility, the family relaxes together. En route, business conferences are conducted by television.” (quoted in Autonorama, page 51)
The specifics of how the nascent electronics industry might accomplish these wonders had to be left to the imagination. No matter. A 1961 Pennsylvania ad campaign assured readers that “the nation’s finest automotive and scientific brains … predict that someday in the future automobile accidents will be eliminated completely.” If that blissful fantasy remained distant, it was not for lack of industry effort. Technology companies, auto makers, and government transportation departments teamed up to construct automated car test tracks in locations around the US. The vision received its most elaborate portrayal in GM’s Futurama 2, the biggest pavilion at the 1964-65 New York World’s Fair.
To the extent that newly widened arterial roads were engineered for greater speed, they also became more deadly for all users, including the fewer and fewer remaining pedestrians. And to the extent that officially favored development patterns induced people to live farther away from work, schools and shopping, even more people became car-dependent and the roads filled with congestion as fast as they were built.
As Norton explains, American cars were and remain the least spatially efficient mode of transportation in common use. It never made sense to think that by putting each driver/passenger in a steel box that takes 10 square meters of road space, we would vanquish the problem of roadway congestion. Though a congestion-free car culture could never be achieved, it remained essential for motordom to keep painting the pretty picture – all to keep consumers buying new cars every few years, and to keep politicians authorizing greater public works expenditures.
The road-building boom begun in the 1950s, with “the biggest public works project in history” justified primarily for its supposed traffic congestion benefits. But “Four decades and $100 billion later, GM was claiming that congestion was worse than ever, and getting worse still.” (Autonorama, page 93) The congestion was cited to promote a new round of public spending in what Norton terms “Futurama 3”. Reflecting public concern about the deadly effects of air pollution, the visions also started to promise the elimination of harmful emissions.
In the 1990s the new focus was on “Intelligent Highway-Vehicle Systems”. A decade of work yielded one viable congestion-reducing technology – but it was not a technology the auto industry could support. Electronics had advanced to the point where it was clearly workable to automatically charge road tolls at times of peak use, or within perennially congested areas such as urban cores. Although congestion pricing has now been used to great success in Europe, the practice does not encourage people to buy more cars, and so it was not a strategy American motordom embraced.
The latest and current flourish of car culture futurism is what Norton terms “Autonorama.” Over the past two decades, the emphasis has shifted from “smart highways” to “smart cars,” with a promise that smart cars will soon safely drive themselves everywhere, from the wide-open road to city streets teeming with cars, buses, bicyclists and pedestrians. And today, Norton adds, autonomous vehicle boosters want to sell not just new cars and new roads, but also new data.
“Social media on wheels”
If you’re one of the tens of millions who start and end each workday with a long, stressful drive, you might not even be aware of one of the major downsides in driving. A 2016 report from consultants McKinsey & Co. highlighted “the greatest single constraint on personal data collection besides sleep: the attentional demands of driving.” There’s the problem: while you are driving you can’t give your full attention to social media!
And that’s no joke, to the huge industry of data collectors and brokers. Time spent looking at the road is time wasted – because while you’re driving, the data hounds are unable to learn much about your likes, dislikes, what you believe, what you watch, what you share, and what you are likely to buy.
In an insightful chapter titled “Data Don’t Drive,” Norton cautions us to think carefully about the business catch-phrase “data-driven.” Data might guide decisions, but data don’t drive decisions – people do. People make decisions through judgment calls, both about the meaning of data, and about which data matter and which data don’t matter.
Where profit-focused industries are concerned, it is not data that matter but monetized data or at least monetizable data. The engines of consumerism are stoked by data from and about people who can spend money, and preferably lots of it. Which data is likely to be worth more: an hour’s worth of smart-phone data from a person standing in the cold waiting for a bus? Or an hour’s data from the in-car digital entertainment system in a state-of-the-art new automated car?
This in-built tendency to reinforce social inequality is at the heart of Norton’s concerns, not only with Autonorama but with the whole history auto-centered planning. It’s not just that vast sums of public money have been devoted to infrastructure that never comes close to the promise of “no congestion, no crashes.” It’s also that in focusing attention over and over on the needs and wishes of motordom, the needs of those who can’t or won’t drive are systematically downplayed. In the process, industry and government fail dismally to preserve or create safe, efficient, pleasant, healthful, walkable urban environments. The modest expenditures that would make cities safe for non-drivers are declined, while hundreds of billions are spent instead on transport “improvements” that continue to produce more deaths, more congestion, and more pollution.
Norton writes that
“The twentieth century should have taught us that accommodation of expensive transport does not merely neglect affordable mobility; it actively degrades it.” (Autonorama, page 180)
Two decades into the 21st-century, we should heed Norton’s warnings about Autonorama, turn our backs on car culture, and begin the rewarding task of reclaiming urban space for efficient public transit, safe cycling, and healthy and stress-free walking.
Photo at top of page: An official DARPA photograph of Stanley at the 2005 DARPA Grand Challenge. Stanley, created by the Stanford University Racing Team, won the race and the 2 million US dollar prize. The automated vehicle race was sponsored by the US Defense Advanced Research Projects Agency (DARPA). Of the 23 vehicles entered in the 2005 running, five managed to complete the 212 kilometer course. Photo from Wikimedia Commons.