The Future of Transport – Smarter and Cleaner Solutions

From the internet to smartphones, technological advancements have been and will continue shaping our lifestyle, the global socio-economic landscape, and the toolsets available to professionals of all trades. At this point, we are at the edge of yet another technological revolution: the rise of driverless vehicles, shared mobility services and electric vehicles will have a far-reaching impact on our society and economy, radically transforming the global transport ecosystem and beyond. At the same time, this revolution will present various new opportunities and challenges for actuarial professionals.  

The Era of Autonomous Vehicles

As of the time of writing, carmakers including Tesla, BMW, Mercedes and Volvo have already integrated, or are soon to integrate, self-driving features into their vehicles that will enable partial or full autonomy. With companies worldwide[i] pouring a staggering amount of resources into developing the required technologies, and some already reaching significant milestones[ii], the much-rumoured driverless cars, or autonomous vehicles have finally emerged from their sci-fi fantasy status to become a promising reality, contingent on the ultimate alignment of technology enablement, regulatory approval and consumer adoption.

To provide a snapshot of the latest industrial movements: Tesla announced last week that all their vehicles being produced now will have full self-driving hardware [iii]. In August, Singapore, through nuTonomy, became the first country in the world to launch a self-driving taxi service[iv], beating the ride-hailing giant Uber, who just launched their own driverless taxis in Pittsburgh in partnership with Volvo[v]. This was followed by the US Department of Transport releasing new guidelines for driverless cars in September[vi]. Earlier this year, General Motors invested $500 million in Lyft, Uber’s prime competitor, and acquired an autonomous software company named Cruise Automation. Additionally, Google has formed a partnership with Fiat Chrysler to work on autonomous minivans all whilst its Chinese equivalent, Baidu is pushing to mass produce driverless electric cars in 5 years[vii]

BI Intelligence’s Self-Driving Car Report (2015) predicts ten million self-driving vehicles (semi and fully-autonomous) to be on the streets by 2020.

Rise of Shared Mobility Services

The global rise of shared mobility services in recent years has offered the public a wider range of mobility options and significantly enhanced urban mobility. The enormous success enjoyed by ride-sharing service providers including US-based Uber and China-based Didi Chuxing have placed them amongst the most valued companies in the world.

The benefits associated with the rise of shared mobility services are: reinforced by the driverless car technology, increased utilisation rate of vehicles can reduce car ownership and consequently result in less demand for designated parking facilities, potentially freeing up property resources in cities. Furthermore, the reduction in the number of vehicles, complemented by rising popularity in hybrid and electric vehicles, will likely lead to cleaner cities.

Shared modes of transport are expected to continue improving and growing in significance. Combined with existing modes of transit, this robust, intelligent transportation network will mean easier access, lower costs, cleaner cities, and therefore better overall living standards for citizens worldwide.

“Revenge of the Electric Car[viii]”

Besides the obvious fuel-saving benefit, electric vehicles (EVs) offer numerous other advantages over their internal combustion engine (ICE) counterparts: inherently fast acceleration, lower maintenance due to design, quieter operation, zero emission, etc. With rapid breakthroughs in battery technology and the growing number of charging facilities globally, the once much ridiculed EVs have regained the confidence of consumers worldwide, demonstrated by approximately 400,000 pre-orders of Tesla’s mass market Model 3 vehicles[ix]. Countries including Norway, Germany and China have announced ambitious plans and incentive programs for promoting EVs and restricting gasoline cars and this movement is strengthened by manufacturers worldwide releasing aggressive plans to challenge Tesla’s supremacy in the EV market.

Implications for the Motor Insurance Industry

The above trends, particularly, the emergence of autonomous vehicles is set to bring profound changes to various industries and completely transform the nature of automobile insurance. While the details of the potential disruptions are open to debate, the following implications can be reasonably expected:

• Fall in Personal Lines Motor Insurance: With human errors accounting for 90% of road accidents^[x], driverless cars possess the potential to remove this human element of risk and thus dramatically improve road safety. The emergence of shared-mobility services, alongside continuously operational driverless fleets will likely increase the vehicle utilisation rate and reduce car ownership. With fewer drivers, fewer vehicles and significantly fewer accidents, conventional personal lines motor insurance business is expected to significantly shrink in size, if not completely disappear. Competition within the industry is likely to intensify, following decreasing premium rates necessary for reflecting the reduced risk[xi].

• Rise in Commercial Lines Motor Insurance: As vehicles become automated, they effectively become the drivers and as such, liability may be transferred from drivers to manufacturers. If this happens, the underwriting process will be radically different from existing practice. For example, risk assessments could become vehicle-based instead of driver-based, using rating factors such as brand, software version, etc. Therefore, insurers could potentially arrange these product liability insurance policies directly with the manufacturers, implying a shift to the B2B operating model.

• Improved Claims Processing: The availability of data collected by autonomous vehicles can largely simplify, or even automate, the investigation of accident claims. The “black box” data will give insurers a detailed description of every incident, allowing each case to be accurately and fairly assessed, potentially eliminating the possibility of fraudulent claims and scams.

• Cyber and Terrorism Risks: Logically, since the next generation vehicles are software-driven, these computers-on-wheels are, by their nature, vulnerable to system malfunctions, hacking and cyberattacks. The possibility of criminals or terrorists remotely gaining control over vehicles for violent purposes is rather horrifying. It is worth mentioning that the U.N. has recently disclosed plans to release guidelines for preventing cyberattacks on network systems used by autonomous vehicles.[xii]

Other Possibilities of Future Ground Transport

On a lighter note, while much potential remains for optimising the existing transportation network. Concepts around potential new modes of ground transport are well worth exploring. The so-called “Hyperloop” high-speed rail system is one such adventurous yet practical concept, with the exciting potential of enabling a 55-minute trip between the CBD’s of Sydney and Melbourne.  

From Actuaries to Futurists

As we observe the unfolding of what UBS calls the fourth industrial revolution – the era of extreme automation and connectivity, it must be recognised that all industries, not just transport, are open to disruptive innovations. Therefore, future-minded actuarial professionals will have important roles to play in assisting government and business in steering through the upcoming waves of revolutions. Conceivably, such functions would include predicting and managing emerging risks, ensuring smooth transitions between different phases of social-technological development and helping organisations take advantage of upcoming opportunities and capture new value. There may even be opportunities for actuarial professionals to be directly involved in the development of emerging technologies (e.g. analysis of fleet data).

As the British mathematician Alan Turing puts it, “we can only see a short distance ahead, but we can see plenty there that needs to be done.”

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