Dataset on Electric Road Mobility: Historical and Evolution Scenarios until 2050

Area of Science:

• Environmental Science
• Transportation Engineering
• Energy Policy

Background:

• Growing need for carbon neutrality by 2050 drives electric vehicle (EV) adoption.
• Predicting future electric mobility is complex due to technological, regulatory, and consumer factors.
• EVs are crucial for decarbonizing the transport sector.

Purpose of the Study:

• To forecast EV penetration globally and in specific European countries (Portugal, Denmark, Greece, Slovenia) up to 2050.
• To analyze the impact of technological advancements, regulatory policies, and consumer behavior on EV adoption.
• To provide essential data for EV mass deployment strategies and energy demand projections.

Main Methods:

• Scenario-based projections utilizing public entity and consultant reports.
• Extensive literature review on EV markets, charging infrastructure, and electricity demand.
• Estimation approach for EV forecast considering defined electrification targets.

Main Results:

• Data gathered covers various time horizons for EV penetration worldwide and in Europe.
• Projections address EV markets, charging infrastructure needs, and associated electricity demand.
• The study provides a dataset for demand projection by 2050.

Conclusions:

• Accurate EV forecasting is vital for achieving 2050 carbon neutrality goals.
• The developed dataset serves as a critical input for future research on EV mass deployment.
• Understanding influencing factors is key to successful electric mobility transition.