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
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
UT WoS
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.