This report examines the impending disruption of transportation by autonomous electric vehicles (A-EVs) and its consequences for the internal combustion vehicle and oil industries, predicting a swift and comprehensive transformation by 2030.
(Generated with the help of GPT-4)
The study employs a data-driven approach, analyzing market dynamics, consumer behavior, and regulatory trends to forecast the adoption of TaaS and its impact on the automotive and oil industries, using existing technology cost curves and business model innovations.
(Generated with the help of GPT-4)
The research predicts that by 2030, 95% of U.S. passenger miles will be served by Transport-as-a-Service (TaaS) using autonomous electric vehicles, leading to significant economic, social, and environmental changes, including a collapse in oil demand and prices, and the stranding of related assets.
(Generated with the help of GPT-4)
Categories: 2017 publication year | 2030 time horizon | 2030s time horizon | English publication language | automotive value chain | autonomous vehicles | car ownership | economic impact | electric vehicles | environmental benefits | geopolitical effects | industry disruption | oil demand | oil value chain | social change | taas | technology adoption | transport-as-a-service | transportation | united states geographic scope