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.

Základní údaje

Originální název

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

Autoři

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

Vydání

Applied Sciences (Basel), 2025, 2076-3417

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50703 Transport planning and social aspects of transport

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.500 v roce 2024

Označené pro přenos do RIV

Ano

Kód RIV

RIV/75081431:_____/25:00002872

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

Klíčová slova anglicky

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

Štítky

Návaznosti

LUABA24085, projekt VaV.
Změněno: 19. 5. 2025 11:57, Ing. Barbora Langšádlová

Anotace

V originále

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.

Přiložené soubory

2.Stopka_applsci-15-03982.pdf
Požádat o autorskou verzi souboru