A financial impact analysis of market conditions and policy measures on total costs of vehicle ownership
type: Dataset
description: A range of electric vehicle policy-, market condition-, and user/usage specification scenarios is modeled in order to derive total costs of ownership (TCO) of electric vehicles (EVs) compared to conventional vehicles (CVs). Special importance is given to user and territorial characteristics that prove to have significant impact on the TCO. For this purpose the Paris region is taken as example. Further, sensitivity analyses of cost influencing factors are carried out; break-even analyses reveal most stringent requirements (concerning vehicle detention period, fuel prices and annual mileage) for a successful EV uptake. The set up model and derived TCO can (should!) serve for well founded future EV demand analyses.
landing page: Annual Summit of the International Transport Forum
keyword: economic-analysis
keyword: electric-mobility
keyword: infoeu-reposemanticsconferenceobject
keyword: poster-communications
keyword: public-policy
keyword: scenario-analysis
keyword: shsarchihumanities-and-social-sciencesarchitecture-space-management
keyword: shsecohumanities-and-social-scienceseconomics-and-finance
keyword: total-costs-of-ownership
issued: 2026-05-25T23:22:42.641371
modified: 2026-05-25T23:22:42.641377
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

A financial impact analysis of market conditions and policy measures on total costs of vehicle ownership
type: Distribution
format: HTML
access URL: https://enpc.hal.science/hal-00676021
issued: 2026-05-25T23:22:42.672040
modified: 2026-05-25T23:22:42.601907