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electromobility – scenario based Market potential, Assessment and Policy options

Project

eMAP - electromobility – scenario based Market potential, Assessment and Policy options


Funding origin:
European
European Union
Funding sources:
Federal Ministry of Transport, Building and Urban Development
STRIA Roadmaps:
Transport electrification (ELT)
Transport electrification
Transport mode:
Road
Road
Transport sectors:
Passenger transport
Passenger transport
Project website:
Duration:
Start date: 01/01/2012,
End date: 01/12/2015

Status: Finished
Funding details:

Overview

Objectives:

The main objective of the eMAP project (2012-2015) is to analyse feasible deployment paths of electric vehicles for the time horizon until 2025-2030. This will be done using a scenario based market model which specifies consumer demand and market supply of electromobility.

Socio-economic impacts of deployment of electromobility on greenhouse gas emissions, local emissions, transport costs, energy supply safety and technological change in industry and economy will be evaluated under various scenarios. Political supporting actions and strategies of electric vehicles will be identified and their impacts on the deployment paths analysed and evaluated. In the end, recommendations for optimized political strategies will be derived.

The regional scope of the project focuses on Europe, most importantly the three partner countries Finland, Germany, and Poland. These vehicle markets will be analysed in detail with regard to demand structure and supply of electric vehicles and necessary infrastructures.

The main objectives of the eMAP project are:

  • to identify the main characteristics of drivers and pinpoint impediments on side of the customers and the suppliers of electromobility
  • to quantify the demand for electric vehicles given different scenarios
  • to quantify supply of electric vehicles in different market segments
  • to make a forecast of development paths of electromobility based on scenarios
  • to make a thorough socio-economic evaluation of the deployment path of electric vehicles given the different scenario outcomes
  • to determine and evaluate measures and strategies to increase speed of the adaption of electric vehicles
  • to provide policy options and recommendations for optimized deployment programs.

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