Toolkits, manuals and guides

The eMob calculator

Assessing the costs and benefits of shifting to electric mobility

UN Environment has developed tools to estimate the potential of saving energy, greenhouse gas and air pollutant emissions as well as money through a dedicated shift to electric mobility. Three separate calculators exist for:

  • Motorcycles

  • Light duty vehicles (including passenger cars and light commercial vehicles such as pick-ups and delivery vans)
  • Buses

The calculators are implemented in Excel and are kept as simple as possible, in order to be used by any interested person, not necessarily having a transportation and modelling background. The tools can be used to build business as usual as well as eMob scenarios to project energy use, greenhouse gas and pollutant emissions as well as costs (including vehicle, fuel, maintenance and charging infrastructure costs) out to the year 2050. The projections can be developed on national, regional or city level. That way, first order of magnitude cost-benefit analyses of shifting towards a large scale use of electric vehicles can be developed for cities, regions or countries.

Required inputs:

  • Projections for gross domestic project (PPP), available from the International Monetary Fund (IMF) up to the year 2021 - Link to IMF Excel Download (http://www.imf.org/external/datamapper/datasets/WEO )
     
  • Projections for population available from United Nations Population Division - Link to UN ESA Excel Download (https://esa.un.org/unpd/.../WUP2014.../WUP2014-F18-Total_Population_Annual.xls)
     
  • Estimated vehicle sales
     
  • Estimated vehicle stock (if available, the tool can be used based on sales numbers only)
     
  • Regions specific estimates on future economic growth, fuel prices and carbon footprint of electricity
     
  • Regions specific estimates of technical parameters such as average vehicle fuel economy, annual driving distance, vehicle prices and vehicle emission standards (default values already implemented in the tools can be used if no regional data is available)

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