We can think of the propositions the so-called “smart city” is built on as belonging to three orders of visibility. The first is populated by exotica like adaptive sunshades, fully-automated supply and removal chains, and personal rapid transit (“podcar”) systems. These systems feature prominently in the smart city’s advertising, promotional renderings and sales presentations. They may or may not ever come into being — complex and expensive, they very often wind up value-engineered out of the final execution, or at least notionally deferred to some later phase of development — but by announcing that the urban plan in question is decidedly oriented toward futurity, they serve a valuable marketing and public-relations function. Whether or not they ever amount to anything other than what the technology industry calls “vaporware,” they are certainly highly visible, and can therefore readily be held up to consideration.

A second order consists of the behind-the-scenes working of algorithmic systems, the black-box churn of “big data” analytics that, at least in principle, affords metropolitan administrators with the predictive policing, anticipatory traffic control and other services on which the smart-city value proposition is premised. These systems are hard to see because their operations are inherently opaque. While the events concerned are inarguably physical and material, they are far removed from the phenomenological scale of human reckoning. They unfold in the transduction of electrical potential across the circuitry of databases and servers, racked in farms which may be hundreds or even thousands of miles from the city whose activities they regulate. Such systems are, therefore, generally discernible only in their outputs: in the differential posture or disposition of resources, or the perturbations that result when these patterns are folded back against the plane of experience. At best, the dynamics involved may show up in data visualizations bundled into a “city dashboard” – access to which itself may or may not be offered to the populace at large – but they otherwise tend to abscond from immediate awareness.

The third order, however, may be the hardest of all to consider analytically, and this is because it is predominantly comprised of artifacts and services that are already well-assimilated elements of everyday urban life. Being so well woven into the fabric of urban experience, the things that belong to this category, like other elements of the quotidian, fade beneath the threshold of ordinary perception; we only rarely disinter them and subject them to critical evaluation. In this category we can certainly place the smartphone itself: a communication device, intimate sensor platform and aperture onto the global network of barely half a decade’s vintage, that has nonetheless utterly reshaped the tenor and character of metropolitan experience for those who wield one. Here as well we can situate big-city bikesharing schemes — each of which is, despite a certain optical dowdiness, a triumphant assemblage of RFID, GPS, wireless connectivity and other networked information-processing technologies. And here we find the network-mediated mobility-on-demand services that have already done so much to transform what it feels like to move through urban space, at least for a privileged few.

Inordinately prominent among this set of mobility brokers, of course, is the San Francisco-based Uber. So hegemonic is the company that its name has already entered the language as a shorthand for startups and apps dedicated to the smartphone-mediated, on-demand provision of services: we hear the Instacart offering referred to as “an Uber for groceries,” Evolux as “an Uber for helicopters,” Tinder as “an Uber for dating,” and so on. If we are to understand personal mobility in the networked city — how it works, who has access to it, which standing patterns it reinforces and which it actually does disrupt — it might be worth hauling Uber up into the light and considering its culture and operations with particular care.

It may seem perverse to describe something as “difficult to see” when it is so insistently, inescapably visible. To be sure, though, Uber’s sudden prominence is not merely due to the esteem in which its users hold it; the company has a propensity for becoming embroiled in controversy unrivaled by its peers, or indeed by just about any commercial enterprise, regardless of scale or sector. To list just some of the most widely reported incidents it has been involved in during the past half-year:

That any given mobility technology should become a flashpoint for so many controversies so widely dispersed over a single six-month period is remarkable. That all of them should involve a sole mobility provider may well be unprecedented. The truth is that we certainly do see Uber…but not for what it is. Its very prominence helps to mask what’s so salient about it.

What is Uber? Founded in 2009 by Travis Kalanick — a UCLA dropout whose only previous business experience involved the peer-to-peer file exchange applications Scour Exchange and Red Swoosh — Uber is a company valued as of the end of 2014 at some $40 billion, currently operating in over 200 cities worldwide. Like others of its ilk, it allows customers to arrange point-to-point journeys as and when desired, via an application previously loaded on their Apple or Android smartphones. All billing is handled through the application, meaning that the rider needn’t worry about the psychological discomfort of negotiating fares at origin or tips at their destination. Its various offerings, which range from the “low-cost” uberX [sic] to the super-premium UberLUX, are positioned as being more convenient, and certainly more comfortable, than existing municipal taxi and livery (“black”) car services. Regardless of service level, the vehicles involved are owned and operated by drivers the company has gone to great lengths to characterize not as employees (with all that would imply for liability insurance, wages, and the provision of employee benefits) but as independent contractors.

Uber is classified under California law as a “network transportation company,” and while the dry legal taxonomy is technically accurate, it masks what is truly radical about the enterprise. Seen clearly, Uber is little more than a brand coupled to a spatialized resource-allocation algorithm, with a rudimentary reputation mechanic running on top. The company owns no fleet, employs relatively few staff directly, and — as we shall see — may not even maintain public offices in the commonly-understood sense of that term.

What distinguishes it from would-be competitors like Hailo and Lyft isn’t so much any particular aspect of its organization or technical functionality, but its stance. Uber comes with an overt ideology. (Even if you somehow remained unaware of CEO Kalanick’s libertarian politics, or his fondness for the work of Ayn Rand — both of which have been widely reported — the nature of that ideology might still readily be inferred from his company’s very name.) Despite a tagline positioning itself as “Everyone’s Private Driver,” Uber has never for a moment pretended to universality. Just the opposite: every aspect of the marketing and user experience announces that this a service consciously designed for the needs, tastes, preferences and status anxieties of a very specific market segment, the aspirant global elite.

Uber makes no apologies about its policy of adaptive surge pricing, in which fare multipliers of up to 8X are applied during periods of particularly heavy demand. But at an average fare of around twenty US dollars, a single Uber ride can still be justified by most members of its target audience as an “affordable luxury” — all the more so when enjoyed as an occasional rather than a daily habit. Availing oneself of this luxury, and being seen to do so, is self-evidently appealing to a wide swath of people living in densely built-up places around the world — necessarily including among their number a great many who would likely be appalled by Kalanick’s politics, were they ever unambiguously forced to consider them.

With Uber, Kalanick has made it clear that a service founded on a relatively high technological base of ubiquitous smartphones, sophisticated digital cartography and civilian GPS can be wildly successful when it is wrapped in the language not of technology itself, but of comfort and convenience. So enticing, indeed, is this combination that hundreds of thousands of users are willing to swallow not merely the technologically complex but the politically unsavory when sugarcoated in this way. While this will likely strike most observers as rather obvious, it is an insight that has thus far eluded other actors with a rhetorical or material stake in the development of a heavily technologized urbanity.

This state of affairs, however, is unlikely to last forever. Other interested parties will surely note Uber’s success, draw their own conclusions from it, and attempt to apply whatever lessons they derive to the marketing of their own products and services. If Uber is a confession that the “smart city” is a place we already live in, then, it is also a cautionary case study in the kinds of values we can expect such a city to uphold in its everyday operation — some merely strongly implicit, others right out there in the open. Just what are they?

– Those who can afford to pay more deserve to be treated better.

Uber’s proposition to its users collapses any distinction between having and deserving; quite simply, its message is that if you can afford to be treated better than others, you’re entitled to be treated better than others.

This is certainly one of the logics of resource allocation available to it in the late-capitalist marketplace; as Harvard’s Michael Sandel observes, in his 2012 What Money Can’t Buy, this particular logic is increasingly filtering into questions traditionally decided by different principles, such as the (at least superficially egalitarian) rule of first-come/first-served. And it is not, after all, very different from the extant market segmentation dividing public transit from taxi or livery-car service: money to spend has always bought the citydweller in motion a certain degree of privacy and flexibility in routing and schedule. What specifically distinguishes Uber from previous quasi-private mobility offerings, though, and takes it into a kind of libertarian hyperdrive, is its refusal to submit to regulation, carry appropriate insurance, provide for the workers on whom it depends, or in any way allow the broader public to share in a set of benefits distributed all but exclusively between the rider and the company. (Driver comments make it clear that it is possible to make decent money as an Uber driver, but only with the most exceptional hustle; the vigorish assessed is significant, and monthly payments on the luxury vehicles the company requires its drivers to own saddle them with an onerous, persistent burden.)

Uber’s “disruptive” business model forthrightly treats the costs of on-demand, point-to-point mobility as externalities to be borne by anonymous, deprecated others, and this is a strong part of what makes it so corrosive of the public trust. This becomes most acutely evident when Uber drivers are involved in fatal accidents during periods when they do not happen to be carrying passengers, as was the case when driver Syed Muzzafar struck and killed six-year-old Sofia Liu in San Francisco, on the last day of 2013. (Muzzafar’s Uber app was open and running at the time he hit Liu and her family, indicating that he was cruising for fares, but the company refuses to accept any liability for the accident.)

– That “better” amounts to a bland generic luxury.

Uber’s conception of user comfort pivots largely on predictability and familiarity. Rather than asking riders to contend with the particularities and idiosyncrasies of local mobility culture, or any of the various factors that distinguish a New York City taxi cab from one in London or Delhi or Beijing, the Uber fleet offers its users a mobile extension of international hospitality ￼nonplace: a single distributed site where globalized norms of blandly aspirational luxury are reinforced.

The suggestions Uber drivers leave for one another on online discussion sites are revealing in this regard. Those who wish to receive high ratings from their passengers are advised to ensure that their vehicles are well-equipped with amenities (mints, bottled water, WiFi connectivity), and remain silent unless spoken to. The all-but-explicit aim is to render the back of an Uber S-Class or 7 Series experientially continuous with the airport lounges, high-end hotels and showplace restaurants of the business-centric generic city hypostatized by Rem Koolhaas in his 1994 article of the same name.

– Interpersonal exchanges are more appropriately mediated by algorithms than by one’s own competence.

This conception of good experience is not the only thing suggesting that Uber, its ridership or both are somewhat afraid of actual, unfiltered urbanity. Among the most vexing challenges residents and other users of any large urban place ever confront is that of trust: absent familiarity, or the prospect of developing it over a pattern of repeated interactions, how are people placed (however temporarily) in a position of vulnerability expected to determine who is reliable?

Like other contemporary services, Uber outsources judgments of this type to a trust mechanic: at the conclusion of every trip, passengers are asked to explicitly rate their driver. These ratings are averaged into a score that is made visible to users in the application interface: “John (4.9 stars) will pick you up in 2 minutes.” The implicit belief is that reputation can be quantified and distilled to a single salient metric, and that this metric can be acted upon objectively.

Drivers are, essentially, graded on a curve: their rolling tally, aggregated over the previous 500 passenger engagements, must remain above average not in absolute terms, but against the competitive set. Drivers whose scores drop beneath this threshold may not receive ride requests, and it therefore functions as an effective disciplinary mechanism. Judging from conversations among drivers, further, the criteria on which this all-important performance metric is assessed are subjective and highly variable, meaning that the driver has no choice but to model what they believe riders are looking for in the proverbial “good driver,” internalize that model and adjust their behavior accordingly.

What riders are not told by Uber — though, in this age of ubiquitous peer-to- peer media, it is becoming evident to many that this has in fact been the case for some time — is that they too are rated by drivers, on a similar five-point scale. This rating, too, is not without consequence. Drivers have a certain degree of discretion in choosing to accept or deny ride requests, and to judge from publicly-accessible online conversations, many simply refuse to pick up riders with scores below a certain threshold, typically in the high 3’s. This is strongly reminiscent of the process that I have elsewhere called “differential permissioning,” in which physical access to everyday spaces and functions becomes ever-more widely apportioned on the basis of such computational scores, by direct analogy with the access control paradigm prevalent in the information security community. Such determinations are opaque to those affected, while those denied access are offered few or no effective means of recourse. For prospective Uber patrons, differential permissioning means that they can be blackballed, and never know why.

Uber certainly has this feature in comment with algorithmic reputation-scoring services like Klout. But all such measures stumble in their bizarre insistence that trust can be distilled to a unitary value. This belies the common-sense understanding that reputation is a contingent and relational thing — that actions a given audience may regard as markers of reliability are unlikely to read that way to all potential audiences. More broadly, it also means that Uber constructs the development of trust between driver and passenger as a circumstance in which algorithmic determinations should supplant rather than rely upon (let alone strengthen) our existing competences for situational awareness, negotiation and the detection of verbal and nonverbal social cues.

Interestingly, despite its deployment of mechanisms intended to assess driver and passenger reliability, the company goes to unusual lengths to prevent itself from being brought to accountability. Following the December 2014 Delhi rape incident, police investigators were stunned to realize that while Uber had been operating in India for some time, neither the .in website nor any other document they had access to listed a local office. They were forced to register for the app themselves (as well as download a third-party payment application) simply so they could hire an Uber car and have the driver bring them to the place where he believed his employers worked. Here we see William Gibson’s science-fictional characterization of 21st-century enterprise (“small, fast, ruthless. An atavism…all edge”) brought to pungent life.

– Private enterprise should be valorized over public service provision on principle, even when public alternatives would afford comparable levels of service.

Our dissection of Uber makes it clear that, in schematic, the company offers

nothing that a transit authority like Transport for London could not in principle furnish its riders. Consider that TfL already has everything it would need to offer not merely a comparable, but a better and more equitable, service: operational control over London’s fleet of black cabs, a legendarily skilled and knowledgeable driver cohort, the regulatory ability to determine tariffs, and a set of existing application programming interfaces giving it the necessary access to data. Indeed, coupling an on-demand service directly to its standing public transit capacity (at route termini, for example, or in neighborhoods of poor network coverage) would extend its reach considerably, and multiply the value of its existing assets. Even after accounting for operating costs Uber is unwilling to bear, the return to the public coffers could be substantial. [UPDATE 29 August 2015: Something very much like this now appears to be happening in New York City.]

Like other transit authorities of its scale, TfL certainly has the sophistication to perform such an analysis. But the neoliberal values on which Uber thrives, and the concomitant assumption that public transport is best provisioned on a privatized, for-profit basis, have become so deeply embedded into the discourse of urban governance just about everywhere that no such initiative is ever proposed or considered. The implication is that the smart city is a place where callow, “disruptive” services with poor long-term prospects for collective benefit are allowed to displace the public accommodations previous generations of citydwellers would have demanded as a matter of course and of right.

Conclusion

Quite simply, the city is smaller for people who have access to Uber. The advent of near-effortless, on-demand, point-to-point personal mobility has given them a tesseract with which the occasionally unwieldy envelope of urban space-time can be folded down to something more readily manageable. It’s trivially easy to understand the appeal of this — especially when the night is dark, the bus shelter is cold, the neighborhood is remote, and one is alone.

But as should be clear by now, this power to fold space and time comes at a terrible cost. The four values enumerated above make Uber a prime generator of the patterns of spatialized injustice Stephen Graham has called “software-sorted geographies,” although it does so in a way unencompassed by Graham’s original account. Its ordinary operation injects the urban terrain with a mobile and distributed layer of invidious privilege, a hypersite where practices and values deeply inimical to any meaningful conception of the common wealth are continuously reproduced.

More insidiously yet, these become laminated into journey-planning and other services when they position Uber alongside other options available to the commuter, as simply another tab or item in a pull-down menu. Ethical questions are legislated at the level of interface design, at the hands of engineers and designers so immersed in the privileges of youth and relative wealth, and so inculcated with the values prevalent in their own industry, that they may well not perceive anything about Uber to be objectionable in the slightest. (Notable in this regard are Google Maps and Citymapper, both of which now integrate Uber as a modal option alongside public transit and taxis, and Apple’s App Store, which lists the Uber app as an “Essential.”) Consciously or not, though, every such integration acts to normalize the Randian solipsism, the fratboy misogyny, and the sneering disdain for the very notion of a public good that saturates Uber’s presentation of its identity.

Where innovations in personal mobility could just as easily be designed to extend the right to the city, and to conceive of on-demand access to all points in the urbanized field as a public utility, Uber acts to reinscribe and to actually strengthen existing inequities of access. It is an engine consciously, delicately and expertly tuned to socialize risk and privatize gain. In furtherance of the convenience of a few, it sheds risk on its drivers, its passengers, and the communities within which it operates. If in any way this offering is a harbinger of the network-mediated services we can expect to contend with in the city to come, I believe we are justified in harboring the gravest concern — and, further, in doing whatever we can to render the act of choosing to book a ride with Uber a social faux pas of Google Glass proportions.

And this is only to consider what is operating in the proposition offered by a single provider of networked mobility services. If there is a distinct set of values bound up in Uber, it is unmistakably enmeshed within the broader ideological commitments all but universally upheld in the conception of the smart city, wherever on Earth the deployment of this particular ensemble of technologies has been proposed. Chief among these are the reduction or elimination of taxes, tariffs, and duties; the concomitant recourse to corporate sponsorship (or outright privatization) of essential municipal services; the deregulation of activity between private actors; and the prioritization of other policies primarily oriented to the needs of classes and sectors within society that benefit from frictionless global trade.

A judicious onlooker might of course wonder what anything on this laundry list has to do with the attributes or capabilities of networked digital systems, but that is precisely the point. As articulated on terrain from Dholera to Rio de Janeiro to New York, we can understand the ostensibly utopian smart city as nothing more than the information-technological aspect of a globally triumphant but still-ravenous neoliberalism — a mask this ideology wears when it wishes to dissemble its true nature and appeal to audiences beyond its existing core of convinced adherents.

Dissecting Uber may help clarify the implications of this turn for those whose life chances are and will continue to be affected by it, but it is the merest start. There remain arrayed before the public for its consideration a very great number of other propositions that belong to the latter two of the smart city’s three orders of visibility, from security systems equipped with facial-recognition capability to networked thermostats to wearable devices aimed at nothing less than quantification of the self. It is these systems in which even the clearest ideological commitments are most likely to be screened or obscured, whether by the seemingly ordinary nature of the product or service or by the very complexity of the distributed technical architecture that underwrites it. Given what is at stake, it’s therefore essential that we subject all such propositions to the most sustained, detailed, and knowledgeable scrutiny before embracing them.

References:

Biddle, Sam. “Uber used private location data for party amusement,” Valleywag, 30 September 2014. Retrieved from http://valleywag.gawker.com/uber-used-private-location-data-for-party-amusement-1640820384.

Bradshaw, Tim. “Uber valued at $40bn in latest funding round,” Financial Times, 4 December 2014. Retrieved from http://www.ft.com/cms/s/0/66a76576-7bdc-11e4-a7b8-00144feabdc0.html.

Carr, Paul. “Travis shrugged: The creepy, dangerous ideology behind Silicon Valley’s cult of disruption,” Pando Daily, 24 October 2012. Retrieved from http://pando.com/2012/10/24/travis-shrugged/.

Constine, Josh. “Uber’s denial of liability in girl’s death raises accident accountability questions,” TechCrunch, 2 January 2014. Retrieved from http://techcrunch.com/2014/01/02/should-car-services-provide-insurance-whenever-their-driver-app-is-open/.

Fink, Erica. “Uber’s dirty tricks quantified: Rival counts 5,560 canceled rides,” CNN Money, 12 August 2014. Retrieved from http://money.cnn.com/2014/08/11/technology/uber-fake-ride-requests-lyft/index.html.

Gibson, William. “New Rose Hotel” in Burning Chrome, Ace Books, New York, 1986.

Graham, Stephen. “Software-Sorted Geography,” Progress in Human Geography, October 2005.

Greenfield, Adam. “Against the smart city,” Do projects, New York, 2013.

Greenfield, Adam. Everyware, New Riders Press, Berkeley CA, 2006.

Hempel, Jessi. “Why the surge-pricing fiasco is great for Uber,” Fortune, 30 December 2013. Retrieved from http://fortune.com/2013/12/30/why-the-surge-pricing-fiasco-is-great-for-uber/.

Huet, Ellen. “Rideshare drivers still cornered into insurance secrecy,” Forbes, 18 December 2014. Retrieved from http://www.forbes.com/sites/ellenhuet/2014/12/18/uber-lyft-driver-insurance/.

Koolhaas, Rem. “The Generic City” in S, M, L, XL, The Monacelli Press, New York, 1994.

Rawlinson, Kevin. “Uber service ‘banned’ in Germany by Frankfurt court,” BBC News, 2 September 2014. Retrieved from http://www.bbc.com/news/technology-29027803.

Reilly, Claire. “Uber reaches 4x surge pricing as Sydney faces hostage lockdown,” CNet News, 15 December 2014. Retrieved from http://www.cnet.com/uk/news/uber-reaches-4x-surge-pricing-as-sydney-faces-hostage-lockdown/.

Said, Carolyn. “Leaked transcript shows Geico’s stance against Uber, Lyft,” SFGate, 23 November 2014. Retrieved from http://www.sfgate.com/business/article/Leaked-transcript-shows-Geico-s-stance-against-5910113.php.

Sandel, Michael. What Money Can’t Buy.

Sharma, Aman. “Delhi government bans Uber, says it is misleading customers,” The Times of India, 8 December 2014. Retrieved from http://articles.economictimes.indiatimes.com/2014-12-08/news/56839680_1_taxi-services-radio-taxi-scheme-customers.

Tran, Mark. “Taxi drivers in European capitals strike over Uber – as it happened,” The Guardian, 11 June 2014. Retrieved from http://www.theguardian.com/politics/2014/jun/11/taxi-drivers-strike-uber-london-live-updates.