Decision-Making on Key Factors Driving the Demand for Electric Vehicles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F25%3A00002872" target="_blank" >RIV/75081431:_____/25:00002872 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2076-3417/15/7/3982" target="_blank" >https://www.mdpi.com/2076-3417/15/7/3982</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Decision-Making on Key Factors Driving the Demand for Electric Vehicles

Original language description

The article presents a research study dealing with the issue of identifying the crucial criteria driving the demand for electric vehicles and decision-making on the ideal electric vehicle choice for the company under investigation. Specifically, the research aimed to identify key factors influencing the decision-making process to purchase electric vans and to propose adequate recommendations when applying adequate multi-criteria decision-making methods, namely, ELECTRE I and PROMETHEE II, in the Czech and Slovak market conditions. The present survey identified six key criteria: mileage, load-carrying capacity, recharging speed, purchase price, load-bearing capacity, and electricity consumption. Based on the expert team preferences, the criteria weights were calculated, followed by data normalization and the application of both methods to evaluate individual vehicle models. Using the ELECTRE I method, the options were classified as either preferred (dominant) or unpreferred (undominant), while the PROMETHEE II ranked them from the best to the worst, preserving viable alternatives should the preferred model be unavailable. The study concludes by emphasizing the relevance of these methods in optimizing the selection of sustainable transport solutions and their broader applicability in the decision-making process on transport and mobility.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Project

<a href="/en/project/LUABA24085" target="_blank" >LUABA24085: Analysis and optimization of the Czech-German commuting traffic to promote cross-border co-operation (Locomotion)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences (Basel)

ISSN

2076-3417

e-ISSN

—

Volume of the periodical

15

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

27

Pages from-to

1-27

UT code for WoS article

001463704800001

EID of the result in the Scopus database

—