J 2025

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

STOPKA, Ondrej; Vladimír ĽUPTÁK; Anna BORUCKA; Mária STOPKOVÁ; Branislav ŠARKAN et al.

Basic information

Original name

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

Authors

STOPKA, Ondrej; Vladimír ĽUPTÁK; Anna BORUCKA; Mária STOPKOVÁ; Branislav ŠARKAN and Tomáš KALINA

Edition

Applied Sciences (Basel), 2025, 2076-3417

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50703 Transport planning and social aspects of transport

Country of publisher

Switzerland

Confidentiality degree

is not subject to a state or trade secret

References:

Impact factor

Impact factor: 2.500 in 2024

Marked to be transferred to RIV

Yes

RIV identification code

RIV/75081431:_____/25:00002872

Organization unit

Institute of Technology and Business in České Budějovice

Keywords in English

multi-criteria decision-making; PROMETHEE II; ELECTRE I; sustainability; mobility; electromobility; electric van

Tags

Links

LUABA24085, research and development project.
Changed: 19/5/2025 11:57, Ing. Barbora Langšádlová

Abstract

In the original language

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.

Files attached

2.Stopka_applsci-15-03982.pdf
Request the author's version of the file