technology advances
A new value chain for next-generation mobility
In my book, The Big Data Opportunity in Our Driverless Future, I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality. ACE vehicles and on-demand mobility will cause three major shifts that can lead to the disruption of the automotive and transportation industries: a consumer shift, an automotive industry shift, and a mobility services shift.
In this post, I examine what is causing these shifts, the value chain that is emerging as a result of these shifts, big data’s key role in the value chain, and the models being created around this value chain.
Shifts in personal mobility and technology open the door to ACE vehicles Changes in personal mobility
Let’s begin by reviewing the most important challenges contributing to changes in personal mobility. One key challenge is the fact that urbanization is increasing, and more megacities are being created. According to a UN report in 2014, 54% of the population lived in urban areas, and by 2050, an additional 2.5 billion people will be added to these areas.
Another challenge impacting personal mobility is traffic congestion. Particularly in megacities, congestion is severely impacting individual productivity because the transportation infrastructure has reached, or is reaching, capacity. We spend too much time commuting to work or home, and when we arrive at our destinations, we aren’t productive.
Pollution and climate change are also impacting the quality of our lives, particularly in cities (and here). Transportation contributes 28% of greenhouse gases (50% of that coming from passenger cars and light-duty vehicles). Transportation now regularly emits more earth-warming gases into the atmosphere than any other sector, according to the federal Energy Information Administration. Last year, transportation surpassed the electric power sector for the first time since the late 1970s in terms of polluting culprits. Traffic-related pollution is negatively impacting the quality of life in megacities, as cities in Asia and Europe are finding out.
Population is another factor affecting personal mobility. The population of many developed countries is aging fast. These populations will require constant assistance in various forms, including transportation assistance, in order to continue functioning properly. Lastly, the socioeconomic conditions of certain population segments lead them to adopt the sharing economy to address many of their needs, including their transportation needs. Millennials are leading the way in this adoption.
On-demand mobility services—specifically services such as ride-hailing, ridesharing, bike-sharing, car-sharing, and various forms of car rental—are seen as a particularly promising way of addressing these challenges.
Changes in technology
At the same time, five technological advances are leading to the development of Autonomous, Connected and Electrified (ACE) vehicles. The first is the easy collection and management of data from sensors that are incorporated into the vehicle, and from specialized data providers, such as digital mapping companies.
Second, computing power is cheap and storage capacity is plentiful in vehicles, smartphones, and the cloud. Third, broadband Internet is everywhere through Wi-Fi, 4G, and (soon) 5G connectivity. Fourth, we’re seeing increased charge capacity and reduced charging time from a new generation of batteries. Finally, third-wave AI technologies, such as deep learning, combined with big data are at the core of intelligent autonomous systems that are employed to automate a growing set of well-defined tasks. Through these technologies, we are starting to perform tasks and achieve error rates that are as low as those associated with human performance accomplishing the same tasks.
Mobility in general and on-demand mobility in particular can greatly benefit from the introduction of ACE vehicles because such vehicles positively impact the economics of these services and enable their providers to better control the user experience.
Fleets will lead the adoption of ACE vehicles
ACE vehicles will first be broadly adopted by passenger and logistics fleets because they:
ACE vehicles combined with on-demand mobility will lead to three major shifts: a consumer shift, an automaker shift, and an on-demand mobility service provider shift.
Consumer shift
Consumers are already transitioning from the notion that puts car ownership at the center of personal mobility to a hybrid model that combines car ownership with car access through on-demand mobility services. This hybrid model will be transitional and last for the next 10-15 years. It will then be gradually replaced by a model that centers on mobility-as-a-service.
Automaker shift
The consumer shift will require the automakers to transition from exclusively designing and manufacturing vehicles for consumers to lease or own, to also providing transportation solutions that address the consumer’s overall mobility experience. This transition will be done by combining owned vehicles, multi-modal transportation, on-demand mobility services, and other transportation-related services such as parking, fueling/charging, etc. Some automakers have already started to offer such on-demand mobility services as ride hailing and car sharing services through their vehicle fleets. Without making this shift, automakers run the risk of being disrupted.
On-demand mobility service provider shift
As on-demand mobility services become more prevalent, and companies offering these services adopt ACE vehicles for the reasons stated above, they will need to become fleet operators, similar to car rental companies (e.g., Hertz), and logistics companies (e.g., UPS). Today, on-demand mobility services are offered by Transportation Network Companies (TNCs), such as Uber and Lyft. TNCs rely on collections of individually owned conventional vehicles that are broadly available. To benefit from the advantages of ACE vehicles, the TNCs will need to create their own fleets of such vehicles since, in the short term, few consumers will own ACE vehicles and even fewer will make them available to TNCs to use.
A new value chain for on-demand mobility
The three shifts discussed above will result in a new value chain for on-demand mobility that will consist of the following:
As one can imagine, the participants of this value chain generate and consume big data. Data from across the entire value chain can be extremely useful by each of the participants when properly exploited. For example, as I mention in my book, the TNC or the fleet operator can analyze manufacturing data, maintenance data, and individual ride data to understand and predict a vehicle’s reliability and perform preventive maintenance.
In order for this value chain to be successful, the companies participating in it must be “interfaceable.” This means they must develop open, scalable, and secure APIs, and expose them to their partners participating in this value chain. The participants can then access and exchange data. Partnerships will be important, as will flexibility. APIs are one expression of this flexibility. Here, Uber and Lyft have already started making such APIs a reality. Of course, the design and implementation of such APIs is only one aspect of a company’s interfaceability. Its business processes, and ultimately its culture, must be properly designed, or redesigned, to achieve this goal. I will talk about this aspect of the new value chain in a future post.
Models for implementing the new value chain
While this value chain has not yet been formalized, we are already observing the emergence of three different models that attempt to implement it:
Model 1 Vertical integration model: The automaker designs and manufactures the ACE vehicle, including the autonomous driving platform, and offers mobility services through its own fleet operating company. Examples: BMW + ReachNow; GM + Maven; Daimler + Movel; Volvo + Lynk Pros:
+Full control of the transportation solution experience
+Full control and ownership of the big data +Full control of the IP Cons:
-High overall investment
-Automakers lack data exploitation expertise -Automaker’s corporate culture inhibits fast implementation and roll-out Model 2 Partnership Alternative 1: The automaker designs and manufactures the ACE vehicle, including the autonomous driving platform, and partners with fleet operating companies (today, this is demonstrated by automakers partnering with TNCs). Examples: Volvo + Uber; Daimler + Uber; GM + Lyft Pros:
+Balanced investment between automaker and fleet operator/TNC
Neutral:
+/- Most of the transportation experience comes from the fleet operator/TNC
+/- Co-ownership and control of the big data +/- Co-ownership of the IP Cons:
-Automakers lack data exploitation expertise
-Automaker’s corporate culture inhibits fast implementation and roll-out Model 3 Partnership Alternative 2: The automaker creates a connected, electric (CE) vehicle and partners with the provider of an autonomous driving platform and the fleet operator (today, this is demonstrated with the automaker partnering with TNCs). Examples: Mitsubishi + nuTonomy + Grab; FCA + Waymo Pros:
+Low automaker investment
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