The Future of Mobility: Scenarios for the United States in 2030: Summary & Key Insights

We approached our analysis with methodological rigor grounded in systems thinking. The goal was not to deliver a single outcome but to build a set of internally coherent, plausible futures. Our scenario development drew on insights from technology, demographics, economics, and policy studies. Each driver—automation, electrification, connectivity, shared mobility, and social change—was examined both independently and interactively.

We began with baseline conditions: the transportation landscape of the mid-2010s. The network was largely dependent on internal-combustion vehicles, public transit systems struggling with funding, and emerging experimentation from ride-sharing platforms. From this foundation, we modeled how differing trajectories of innovation and policy responses could unfold. Workshops with experts and stakeholders provided cross-disciplinary perspectives—from engineers to urban planners to behavioral economists—all highlighting how mobility is shaped by not just what technology can do, but how people choose to use it.

Scenario development depended on qualitative narratives supported by quantitative parameters such as adoption rates, fuel consumption, and land use patterns. By building multiple plausible paths, we enabled policymakers to stress-test strategies. This flexible lens helps planners consider contingencies: what if automation accelerates sooner than expected? What if electricity markets shift unpredictably? This process transforms planning from a reactive stance to an anticipatory one.

The mobility revolution is being propelled by intertwined technological trends. Automation promises to redefine the very notion of driving and vehicle ownership. Electrification is shifting energy dependence and emissions profiles, creating new value chains in battery production and recycling. Connectivity integrates vehicles into a digital ecosystem where real-time traffic management and predictive maintenance become standard. And shared mobility reshapes ownership models, replacing private car use with service-based access.

Automation’s allure lies in safety and convenience, but the societal implications stretch further. Autonomous vehicles could reduce road deaths, yet they could also disrupt professional driving jobs and reshape suburban design. Electrification complements automation by lowering lifecycle emissions but demands grid modernization and resource management. Connectivity underpins both: smart infrastructure communicating with vehicles can optimize flow, detect hazards, and even reassign curb spaces dynamically.

Shared mobility introduces a behavioral dimension. It encourages efficiency through fewer idle vehicles, but it also depends on societal trust and regulatory frameworks. The convergence of these forces means future mobility will be a coordinated system, not a collection of devices. Each driver amplifies or constrains the others, and policy choices crafted today will determine whether this convergence enhances social welfare or reinforces inequality.