b'Forecasting Tools in a Time of Uncertainty and DisruptionStrategic Models in ActionAUTOMATED, CONNECTED, ELECTRIC, AND SHARED MOBILITYStrategic models can help practitioners explore the uncertainty around disruptive technologies. These tools excel at modeling the rapid technological changes underway in the personal mobility space. Strategic models can help forecast how the increased availability of automated, connected, electric, and shared (ACES) mobility technologies could reduce personal vehicle ownership. They do this by modeling the competitiveness of various modes chosen by users.Strategic models can also evaluate various futures related to automation. Will the future transportation system be built around fewer private vehicles? What percentage of vehicles will be electric and how will this reduce operational costs/emissions? Will more users opt for shared, automated vehicles or public transit and active modes, such as e-scooters and bikes? Will congestion be less of a concern from the road users perspective since automated vehicle occupants can maximize their in-vehicle travel time? Strategic models can help practitioners answer questions like these by accounting for specific geography, transportation network, land-use, and socioeconomic profiles. Ride-HailingCarsharingRobotaxisWork From HomeTelemedicineContactless DeliveryElectric Passenger VehiclesElectric Commercial VehiclesElectric Vehicle Supply Equipment POTENTIAL CHANGES BROUGHT ABOUT BY COVID-19Strategic models can quickly and efficiently evaluate many future scenarios, which makes them ideal to help evaluate system-wide change. The spread of COVID-19 has resulted in widespread global uncertainty that has roiled markets and challenged policy makers. In response, governments have raced to contain the disease by enacting a combination of social distancing guidelines and travel restrictions.The result of all these rapid changes has been an immediate and dramatic shift in how and where people travel, which strategic models can help plan for. A sizeable percentage of workers and their employers may decide to negotiate varying degrees of work-from-home flexibility going forward. This could result in far fewer people commuting to work in some regions. Working from home may also increase home delivery options and demand for active travel. The associated risks of crowding are also affecting demand for high-capacity transit options. Strategic models can help assess the short- and long-term effects of these changes over several time frames and across multiple scenarios.42020 RSG'