BEN is exhausted. It’s 9 o’clock on Friday evening, he’s been at his desk for 13 hours, and he’s clocked more than 70 hours this week. All he wants is a quick bite to eat and to head home, as quickly and painlessly as possible. He pulls out his smartphone and scans the options that his mobility app suggests. Train or bus? Too many stops. A carpool vehicle? He’s in no mood to make small talk with strangers. He opts for his own autonomous taxi, price be damned, and tacks on his standard order from the local pizzeria.
The small electric car—no driver—picks him up a few minutes later, just as Ben steps through the front door and onto the sidewalk. His slice (with extra onions) is still steaming when he opens the pizza box sitting on the car’s table; the taxi picked it up moments before Ben climbed in. He settles in and enjoys an episode of his favorite guilty-pleasure reality show that the car has cued up for him. The cost of the whole trip is instantly deducted from his account. Twenty minutes later, he’s at his apartment door. Half an hour after that, he’s fast asleep, dreaming about his plans for the weekend.
A journey like Ben’s, and the complex web of actors required to make it happen, may be possible sooner than many of us imagine.
A year ago, we posited that the extended global automotive industry was undergoing an unprecedented transformation into a new mobility ecosystem.1 Since then, the pace of change has been, in our view, breathtaking. Through hundreds of conversations with corporate executives, government leaders, technologists, and academics around the globe, we have gained a front-row seat to how the future of mobility is evolving. In particular, we have witnessed:
Broad acceptance of the core tenets of how this evolution will unfold. Skepticism persists and uncertainty abounds, but we have seen surprising agreement that a fundamental shift is driving a move away from personally owned, driver-driven vehicles and toward a future mobility system centered around (but not exclusively composed of) driverless vehicles and shared mobility (see sidebar). Less agreed upon: the speed at which this transformation will take place, how the future ecosystem will be constructed and function, and how corporate leaders believe their enterprises’ business models need to adapt.
Governments catalyzing the emergence of a new mobility ecosystem. The US Department of Transportation (DOT) launched the Smart Cities Challenge as a fillip for cities and states to experiment with cheaper, faster, safer, greener, more efficient, and more convenient transportation for citizens.2 The 78 submissions, including that of eventual winner Columbus, OH, spanned a wide range of intermodal innovations and provided an incubator for new forms of transportation and new ways to consume mobility, potentially making them available and commercially viable sooner than a market-only approach would create.3 The DOT continues to serve its primary mission of public safety, while demonstrating that it can play a pivotal role in driving innovation through investments and regulation.4 States such as Nevada,5 Michigan, Pennsylvania, and Florida6 are developing pilot programs and implementing regulatory changes to accelerate adoption of the future mobility ecosystem, as they seek to provide more and better options for their citizens and to spur economic development.
Significant moves by industry incumbents and disruptors to enact the future. As we anticipated, both sets of players have come to the realization that collaboration is key to gaining a value-added role within the ecosystem. Many of these moves are speculative, exploratory, and of a nature to create option value.7 Noteworthy examples include GM’s $500 million investment in Lyft and acquisition of Maven, a carsharing platform;8 Ford’s launch of Ford Smart Mobility and investments in Velodyne, SAIPS, Nierenberg Neuroscience, and Civil Maps;9 Daimler’s investments in Moovel and Car2Go;10 and multiple efforts by both technology companies and automakers to develop autonomous vehicles. And while these are important developments, they likely represent just the early stages of the transition. We anticipate large-scale, in-market pilots in the next 12 to 18 months; the introduction of commercially available fully autonomous electric vehicles (either as part of shared fleets or for private ownership); and tangible examples of what the cities of the future will look like, including the reduction of curbside parking, intelligent traffic signals, and the emergence of seamless intermodal transportation choices.
Given this dynamic and changing environment, many questions remain:
This paper aims to advance the collective thinking around answering these questions. It extends our initial perspectives and incorporates new insights and analyses gained from an extensive and ongoing dialogue with most of the key players driving these changes. Ultimately, we hope this article provides a roadmap of sorts, helping stakeholders determine where to play and how to win.
In The future of mobility,11 we argued that four concurrent “future states” would emerge within the mobility ecosystem, emanating from the intersection of who owns the vehicle and who operates the vehicle: personally owned driver-driven; shared driver-driven; personally owned autonomous; and shared autonomous (figure 1).
* Definition: By autonomy and autonomous vehicles (AV), we refer to stage 4 of the NHTSA’s scale of autonomy—that is, full self-driving automation in which the passengers are not expected to take control for the entire duration of travel.
Our own analysis suggests these changes could occur more quickly and at greater scale than many are prepared for, especially in densely populated areas.12 If shared and autonomous vehicles are adopted as quickly as other technologies (like smartphones, cellphones, and the Internet), our modeling finds that significant change will begin within five years and that the market for personal mobility could transform dramatically over the next 25 years (see appendix for additional details). Population growth and the extension of transportation to the previously immobile, such as adolescents, elderly, lower-income groups, and those with disabilities, could cause total miles driven to increase by as much as 25 percent by 2040 (figures 2 and 3). Note that, while the developments discussed earlier give us some confidence that change is coming quickly, we have not attempted to model sui generis adoption rates using, for example, consumer attitudes, consumption patterns, or regulatory developments around shared and autonomous mobility. Of course, if these services and technologies are adopted at slower rates more akin to electricity, the radio, or the television, the speed and magnitude of the changes will lessen accordingly and potentially significantly.
Since the shift toward shared autonomous mobility will likely happen fastest and most dramatically in urban environments, we broaden the aperture to imagine how people and goods will actually move in the future, and what types of vehicles, technologies, data, services, and capabilities are needed to make that movement possible.
To explore a future urban mobility ecosystem that delivers seamless intermodal transportation faster, cheaper, cleaner, and safer than today, let’s revisit our friend Ben. After a restful weekend, Ben is back at work Monday and has already put it in a full day at the office (figure 4).
Of course, individuals’ transportation needs are nearly as idiosyncratic as their fingerprints, so consider this an illustrative example. But it is likely that enabling a seamless intermodal journey will require a future mobility ecosystem that is much more complex than today’s extended automotive industry. New opportunities will emerge to deliver the diverse experiences that customers like Ben demand. Companies will look to design new products, services, and solutions that serve each future state and multiple modes of travel simultaneously—or accept a narrowing of their future horizons in a more diverse mobility ecosystem. Both incumbents and disruptors are beginning to stake out positions, and in the process providing the contours for how that ecosystem might look (see figure 5). But the first step is understanding to what roles companies might aspire, and what capabilities will be required to succeed in tomorrow’s ecosystem.
The development and manufacturing of cars (and trucks, buses, trains, and bikes) will continue to provide a critical source of value. But like the mobility ecosystem as a whole, the carmaking business will be more complex than ever. New products will likely emerge, from small utilitarian autonomous “pods” to highly customized, personally owned self-driving cars. And the changes won’t be limited to the passenger auto: Self-driving technology will likely infuse trains, buses, commercial trucks, and other forms of transit, demanding that developers and manufacturers evolve their capabilities accordingly.
Incumbents and new entrants, alone and together, are actively seeking to position themselves for this future. Nearly every major automaker and a variety of technology companies are actively investing in autonomous drive technology.13 Ford, GM, Local Motors, and others are developing advanced, additive manufacturing (3D printing) techniques to support the engineering and manufacture of customized vehicles.14 And multiple companies look poised to bring extended-range, affordable electric vehicles to market in the coming years.15
These moves suggest that the traditional capabilities of vehicle manufacturers and suppliers will need to expand, collaborating with autonomous vehicle technology suppliers, software developers, and others to provide a much broader range of product choices. There are complex economics in being able to manufacture vehicles similar to today’s mass-produced driver-owned cars, highly customized personally owned autonomous vehicles, and utilitarian pods for urban environments. Manufacturers will likely require not only today’s traditional supply chains but new manufacturing capabilities that allow advanced, low-cost, efficient customization. They will need to determine if they should redesign their business model to compete in all four future states or to focus on one segment. It means developing:
The in-vehicle transit experience will increasingly be a defining feature of the future of mobility. In the United States, drivers spend roughly 160 million hours daily traveling from point A to B.17 That’s 46 minutes per person, every day. As shared and autonomous mobility proliferate, a tremendous opportunity arises for companies seeking to sell content, entertain, and generally enhance the time spent in-transit. Roughly 20 percent of UK consumers’ online shopping, for example, already occurs during commutes.18
“Experience enablers”—content providers, in-vehicle service providers, data and analytics companies, advertisers, entertainment equipment providers, and social media companies—will clamor to make the in-transit experience whatever we want it to be: relaxing, productive, or entertaining. We are already seeing signs of the imminent war for travelers’ attention. Volvo announced a partnership with Netflix in January 2016 to enable live streaming while in commute.19 Several automakers have struck deals with content providers to stream audio to vehicles, which could readily extend to video, web browsing, and other even more advanced content.20 Augmented-reality windshields, currently being explored as a safety and navigation aid for drivers, could easily be repurposed for a hands-free world.21
Many of the capabilities in this space already exist but will be vastly expanded to become even more immersive and interactive: high-quality content creation, effective content sourcing, targeted advertising, and product placement. New needs will emerge as data and analytics support not only entertainment but a broader set of experiences.
Content creation will likely remain central, and as vehicle interiors adapt to a driverless world, new possibilities will emerge to develop immersive and interactive videos, music, and games. In March 2016, Ford patented an “Autonomous Vehicle Entertainment System,” in which the entire windshield becomes a display for entertainment purposes.22 It is increasingly plausible that the entirety of the cabin’s walls and ceiling could become high-definition touchscreens, perhaps incorporating augmented-reality technologies. The most successful experience providers will capitalize not only the time spent in the vehicle but the myriad unique ways customers can consume content. Today’s content and experience leaders may have significant opportunities for growth, as do owners who want to curate branded experiences.
In-vehicle services could also expand, from meals to shopping and beyond. Today we are seeing the first forays into on-demand food delivery operated independently of restaurants.23 Tomorrow that service could be extended to the vehicle itself for journeys of sufficient duration—think of Ben’s frictionless pizza and grocery deliveries.
Predictive content analytics will likely be essential to maximizing the in-vehicle experience, collaborating with mobility managers (see below) to provide content seamlessly and intuitively to assist passengers with where they are going, how they get there, and what they do along the way. Doing so means tailoring content suggestions based not only on a user’s history—as today’s recommendation systems do—but also with ever-more comprehensive information about the specifics of a trip, entertainment and productivity patterns, and social interactions. Platforms and data will be the lifeblood of this new system.
The safe and efficient movement of people and goods hinges critically on underlying infrastructure, a fact that will be just as true tomorrow as it is today. Accordingly, the important role played by providers of both physical infrastructure and energy infrastructure will persist. Transit stations, roads, highways, waterways, and public parking will become even more interconnected as customers increasingly expect multimodal transportation. That means providing:
Smart tolling and dynamic road usage pricing, which will likely emerge built not only on supply and demand but also road type (primary vs. arterial), the number of affected passengers, environmental impacts, and infrastructure wear and tear. Such systems will help cover the real cost for the use of the infrastructure while aiding route optimization and flow and helping to offset potential declines in revenues from other sources (like traffic fines, gas taxes, and parking fees).24
Traffic flow management informed by real-time data and analytics of congestion, weather, and other variables, which many cities are already implementing.25
Energy providers and retailers will likely need to integrate into the existing infrastructure to ensure that the overall fleet—which could comprise many more electric and hydrogen fuel cell-powered vehicles—can travel effectively. That demands close management of an increasingly complex end-to-end supply chain, including battery recharging and replacement.
In addition to these physical assets, a parallel digital infrastructure will emerge that will be every bit as critical as roads and bridges. As data becomes the new oil, companies—including providers of telecommunications, cybersecurity, and operating systems—can capture value by providing fast, safe, reliable, and ubiquitous connectivity for all the data that the future mobility ecosystem requires.
Already, telecommunication giants are experimenting with ways to monetize connected car technologies. Verizon is one of 15 companies working with the University of Michigan to test driverless cars, focusing specifically on how autonomous vehicles will communicate with other vehicles, pedestrians, bicycles, and the surrounding infrastructure.26 AT&T connected more than 1 million cars in late 2015, more than any other wireless category, including smartphones.27 Both companies are exploring alternative revenue models: AT&T is bundling cars as an additional device to the shared data pool, whereas Verizon is experimenting with pay-per-app models.28 And we are already seeing partnerships between telecommunications providers, and automotive manufacturers, and mobility management services. To facilitate its partnership with Netflix, Volvo partnered with Swedish telecommunications provider Ericsson to build smarter streaming technologies specifically for autonomous vehicles.29
To succeed as digital infrastructure providers, companies can look to offer:
Seamless connectivity that keeps customers online regardless of time, location, or mode of travel, and that can accommodate the surge in data that will accompany the proliferation of connected, shared, and autonomous vehicles and seamless intermodal transportation. That could mean smart metering and surge pricing to avoid, for example, localized connection outages in areas of heavy traffic.30
A horizontal operating system that is “shared by all participants across the ecosystem rather than being unique to each vertical stack of technology.”31 That means the ability to bridge not only vehicles but also mobile devices and Internet of Things architectures—in many ways, a prerequisite for the vision of seamless, intermodal mobility.
Network security that safeguards customer data and the overall mobility system. As connected vehicles yield ever more detailed information about where and how we go, when, and with whom, protecting data will become sine qua non.32 And keeping autonomous vehicles safe from the range of potential cyberthreats, from the merely inconvenient to the life-threatening, will be key to realizing the future of mobility.
Today, ride-hailing companies act as network orchestrators, connecting people requiring a service with those offering that service. Along with automotive OEMs, however, these companies are pursuing a more integrated set of mobility options and services. Uber is expanding its connections with lenders, payment providers, and credit card companies, investing in its own mapping capabilities, and integrating with major business software applications.33 GM has invested $500 million in Lyft and acquired Maven, a carsharing platform.34 In April 2016, Ford launched FordPass, an app and platform that aims to be a one-stop mobility marketplace encompassing vehicle control, vehicle sharing, parking reservations, in-vehicle entertainment options, and even live chats with customer assistants.35 Similarly, Daimler’s North American expansion of Moovel—which enables route planning, booking, and payment across multiple modes of transit—reflects the company’s ambition to create a network of “interoperable products built for transit agencies, app developers, and end consumers.”36
These efforts are tangible demonstrations of the future of mobility management.37 As providers begin to set up infrastructure, autonomous technologies are tested and proven, and the in-vehicle experience improves, we are seeing indications that an integrator will emerge to connect autonomous vehicles and other modes of transit to the end consumer. Fully realized mobility advisers will look to enable a seamless intermodal transportation experience, ensuring easy access, exemplary in-transit experience, a smooth payment process, and overall customer satisfaction. They will take into consideration customer preference, traffic data, and other circumstances to arrive at the most convenient and cost-effective mobility plan—whether that entails a shared car, a train, a bike, or all of them.
We see both customer-facing and asset-owning dimensions to mobility management, and while the two roles are distinct, in practice a company could fill both of them simultaneously. The mobility adviser directly interfaces with the customer, who will expect a customized experience that relies on the mobility assistant’s ability to execute trip planning, adjust routes to allow for traffic and disruptions, and handle payments. A variety of technology companies that collect consumer business data (for example, venue information and activity information) will work with the mobility managers and end-consumer businesses to enhance the user’s experience. Social networks will further enhance the user experience by suggesting consumer preferences to shape the journey. And navigation providers will look to optimize routes using prime data from environment and weather companies. For the company at the center of it all, that means developing:
Mobility data collection to enable tailored route suggestions, including the ability to store and access vast amounts of information safely and reliably. Sensors can collect information on everything from intersection status and traffic jams to travel time measurement and CO2 emissions. Value to the user will likely come through the integration of this information into smarter route suggestions.
Predictive analytics to match user preferences with travel recommendations. Mining vast quantities of real-time data on the environment as well as user habits will help orchestrate a seamless flow across the ecosystem.
User control, including design and deployment of intuitive customer interfaces, although the proliferation of apps may find this capability dispersed among the users themselves.
Relationship management capabilities to acquire and retain customers. Because network effects will likely play an important role in mobility managers’ success, extensive and early user buy-in and adoption will be essential.38 This makes sales and marketing teams critical for building the platform.
Because shared autonomous vehicles will likely play a critical role in the future mobility landscape, especially in cities, fleet operation is a second opportunity to create value around mobility management.
Fleet operators will deploy a range of vehicles matched to users’ preferences, managing their upkeep and storage, and leverage enhanced smart routing capabilities to match supply and demand effectively. Doing so successfully requires:
Procurement capabilities, including contract management
Vehicle tracking to enable real-time monitoring of the fleet: Companies offer software showing vehicle location, fuel usage, speed, mileage, and other information in real time, making it easier for fleet companies to match vehicles to users39
Finance and insurance, working with partners in those industries
Setup, scheduling, and allocation of vehicles throughout the service area, including the ability to reconfigure a vehicle’s entertainment and other options remotely as it moves from one fare to another
There are multiple additional roles that are essential for keeping the mobility ecosystem running smoothly but that are beyond this article’s scope. Finance, insurance, and payment providers will likely see dramatic shifts in their business and the emergence of new products and services to meet changing customer demands. Auto finance will increasingly become a business-to-business interaction with the purchasers of large shared fleets.40 As vehicles become safer, insurance policies will likely shift to focus on per-trip coverage for riders and product liability policies to cover autonomous vehicles’ hardware and software.41 Payments providers will likely support in-vehicle purchases, linking accounts directly to consumers and offering the ability to pay once for a single journey.
Governments will also likely play a critical role, both by setting regulation and by serving as a “conductor” of sorts, enabling the ecosystem’s constituent pieces to work seamlessly together. City and regional managers will work with other enabling entities to ensure public infrastructure is maintained (see “Infrastructure enablers” above).
The roles and capabilities described here are illustrative, not exhaustive, but many players will vie for these new opportunities. Winning in many cases will require significant transformation of their business system and operating model. While some stakeholders may find themselves naturally well positioned for certain opportunity spaces or value capture strategies, others will find themselves at a disadvantage. The future need not take companies by surprise, however. The key lies in understanding your capabilities against the emerging needs of the ecosystem to decide “where to play” and “how to win.”42
Depending on your perspective, the changes discussed here—shared mobility, autonomous vehicles, seamless intermodal transit—may seem thrilling or daunting. Much has happened in just the past year, and we expect even more to occur in the coming one. Any actor involved in the movement of people and goods should begin identifying now where it wants to play in the new mobility ecosystem.
Evaluate the potential impact: Each player should analyze how and by how much the future of mobility will impact their current business or operations. The magnitude of the transformation is likely sizeable, the velocity of change is rapid, and businesses and governments will have to operate in a multistate, multimodal future that demands flexibility and adaptability. While the change may seem distant, the timeframe for adoption could shrink surprisingly quickly. An analysis will give management a more empirical understanding and help build consensus around the degree of urgency required to make the transition to the new mobility ecosystem.
Determine which role or roles you aspire to in the new mobility ecosystem: While change is imminent, new opportunities will continue to emerge and expand. Amidst the ecosystem’s complexity, we anticipate the emergence of distinct value creation roles. These roles are closely linked and will require collaboration to serve the customer. The car-centric extended automotive industry has become a customer-centric mobility ecosystem, where the focus is on the experience of moving from point A to point B—rather than the physical vehicle itself.
Assess how your current capabilities match those required for future success: Not all opportunities are created equal. Stakeholders must carefully examine their own capabilities against those required to succeed in their chosen role. This paper only scratches the surface of the opportunity spaces. In reality, there are a host of players and capabilities that will support and enable the ecosystem.
Evaluate competitive intensity, and be clear-eyed about how you stack up against incumbents in that space: You will not be alone in seeking to capture value in the new mobility ecosystem. Many players—both incumbents and disrupters—are already making moves to play.
Develop a roadmap to build the needed capabilities: Enterprise transformation rarely happens overnight and takes time and planning. Understanding the broader ecosystem and the required capabilities will help companies and governments better lay out their path to success, whether that be through acquisition, partnership, or internal development. Part of this journey will require making hard decisions around your winning aspiration.
Change is coming soon—and the extended automotive industry will have to rapidly adjust to rising consumer expectations. As elements of the new mobility ecosystem emerge, from carsharing apps to self-driving vehicles, it’s hard not to speculate how advanced transportation technology might change. Many will likely find a vision of being seamlessly picked up after work, entertained in comfort on the way home by a system that already knows your preferences and needs, and efficiently dropped off at your front door very appealing.
Making this scenario a reality—much less making it as smooth as it needs to be for broad adoption—will demand new thinking, competencies, and coordination. In the new mobility ecosystem, value creation opportunities will likely require stakeholders to rethink their business models. Depending on an organization’s role in the ecosystem, leaders will need to determine whether existing capabilities allow them to deliver the value customers demand—and if not, how to build new strengths.
We use a range of data to calculate the impact of the four future states on miles travelled and unit sales:
For miles traveled in rural and urban areas: “Highway statistics,” US Department of Transportation, Federal Highway Administration, www.fhwa.dot.gov/policyinformation/statistics.cfm.
Since data on urban areas includes suburban areas, we follow economist Jed Kolko’s methodology to back out the suburban share: Kolko, “How suburban are big American cities?,” FiveThirtyEight, May 21, 2015, http://fivethirtyeight.com/features/how-suburban-are-big-american-cities/.
For shared vehicle data, we use a combination of data on the size of the rental car fleet and vehicle usage in miles used to calculate annual miles driven by rental cars: Auto Rental News, “2015 U.S. car rental market,” Fact Book 2016, p. 8, www.autorentalnews.com/fileviewer/2229.aspx; Scott McCartney, “Rental cars with higher mileage populate lots,” Wall Street Journal, August 28, 2013, www.wsj.com/articles/SB10001424127887324463604579040870991145200.
We include data on annual taxi mileage: Transportation Research Board, Between public and private mobility: Examining the rise of technology-enabled transportation services, National Academies of Sciences, Engineering, and Medicine, May 13, 2016, www.trb.org/Main/Blurbs/173511.aspx.
We incorporate annual miles driven by Uber and Lyft: Pavithra Mohan, “Uber is even bigger than you realize,” Fast Company, September 8, 2015, www.fastcompany.com/3050784/elasticity/uber-is-even-bigger-than-you-realize; Anne Freier, “Uber usage statistics and revenue,” Business of Apps, September 14, 2015, www.businessofapps.com/uber-usage-statistics-and-revenue/; SherpaShare, “Uber trips are becoming longer and faster, but are they more profitable?,” SherpaShare blog, February 2, 2016, http://sherpashareblog.com/2016/02/02/uber-trips-are-becoming-longer-and-faster-but-are-they-more-profitable; Matt Rosoff, “Uber is now more valuable than Ford, GM, and a bunch of huge public companies,” Business Insider, December 4, 2015, www.businessinsider.com/uber-valuation-vs-market-cap-of-publicly-traded-stocks-2015-12; Alison Griswold, “Why General Motors is making a $500 million bet on Lyft,” Quartz, January 4, 2016, http://qz.com/585520/why-general-motors-just-made-a-500-million-bet-on-lyft.
For projected population growth, we tap World Bank projections: “Health nutrition and population: Population estimates and projections,” World Bank, http://databank.worldbank.org/data/reports.aspx?source=Health Nutrition and Population Statistics: Population estimates and projections.
We estimate when autonomous vehicles will be launched using a thorough scan of OEM, technology companies, and subject-matter expert statements and use data on the diffusion of other recent innovations to proxy adoption rates.
Looking at generational data from the World Bank as well as poverty data from the US Census Bureau allows us to estimate what additional population segments might become mobile in the future: “Health nutrition and population: Population estimates and projections,” World Bank; Carmen DeNavas-Walt and Bernadette D. Proctor, “Income and poverty in the United States: 2014,” US Census Bureau, September 2015, www.census.gov/library/publications/2015/demo/p60-252.html.
We use several sources for information on the average number of passengers per vehicle: Transportation Research Board, Between public and private mobility; Office of Highway Policy Information, “Annual vehicle distance traveled in miles and related data—2014,” US Department of Transportation, Federal Highway Administration, December 2015, www.fhwa.dot.gov/policyinformation/statistics/2014/vm1.cfm; and Taylor Soper, “Lyft’s carpooling service now makes up 50% of rides in San Francisco; 30% in NYC,” GeekWire, April 22, 2015, www.geekwire.com/2015/lyfts-carpooling-service-now-makes-up-50-of-rides-in-san-francisco-30-in-nyc/.
And to project vehicle lifetime, we take US government data and apply the historic rate of lifetime improvement going forward: National Center for Statistics and Analysis, Vehicle survivability and travel mileage schedules, National Highway Traffic Safety Administration, January 2006, www-nrd.nhtsa.dot.gov/Pubs/809952.pdf.
Finally, rather than attempt to determine adoption rates from “the ground up” using, for example, consumer attitudes, we simply assumed that the adoption of shared and self-driven vehicles would follow a similar pattern as other recent technologies. In our analysis, we posited three possible trajectories of adoption—fast, medium, and slow—which we proxied with actual adoption rates for smartphones in the United States, conventional cell phones in the United States, and the Internet globally. These technologies had sufficient historical data and important similarities to the mobility innovations in which we were interested: They were expensive when first introduced, required significant infrastructure investment, and exhibited strong network effects. That said, there are important differences: The automobile is a fixed capital asset that most households turn over relatively slowly, for instance. Accordingly, applying different assumptions about the speed of adoption could significantly alter the model results.