OPTIMIZING ELECTRIC VEHICLES CHARGING FOR ENHANCING ENVIRONMENTAL SUSTAINABILITY AND REDUCING CARBON EMISSIONS OF FREIGHT TRANSPORT: CASE OF CZECH REPUBLIC
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A101263" target="_blank" >RIV/60460709:41110/24:101263 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/377657666_Optimizing_electric_vehicles_charging_for_enhancing_environmental_sustainability_and_reducing_carbon_emissions_of_freight_transport_case_of_Czech_Republic" target="_blank" >https://www.researchgate.net/publication/377657666_Optimizing_electric_vehicles_charging_for_enhancing_environmental_sustainability_and_reducing_carbon_emissions_of_freight_transport_case_of_Czech_Republic</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21511/ee.15(1).2024.02" target="_blank" >10.21511/ee.15(1).2024.02</a>
Alternative languages
Result language
angličtina
Original language name
OPTIMIZING ELECTRIC VEHICLES CHARGING FOR ENHANCING ENVIRONMENTAL SUSTAINABILITY AND REDUCING CARBON EMISSIONS OF FREIGHT TRANSPORT: CASE OF CZECH REPUBLIC
Original language description
The limited infrastructure of charging stations, which is crucial in route planning and total journey time and creates uncertainty in efficiency and operating costs, calls for new economic and statistical methods in sustainability development and environmental economics. This paper aims to examine the challenges of integrating electric vehicles into freight transport to improve distribution logistics' environmental sustain- ability, which represents one of the pathways for reducing environmental risk. The analysis results underscore the inadequacy of the truck charging station network in the Czech Republic. This insufficiency presents an opportunity to enhance environmental sustainability and reduce carbon emissions through strategic analysis and optimizing charging station locations. The difficulty of identifying optimal locations for these stations, given truck availability, requires using multi-criteria decision-making techniques such as the Analytical Network Process (ANP). Municipalities with limited access to existing logistics facilities were considered during the simulation. This way, 15 new locations were identified for municipalities with insufficient distance to a charging station. By implementing the ANP method, the study contributes to a more environmentally sustainable transportation infrastructure, highlighting the potential for significant reductions in carbon emissions through improved charging station networks. These results apply to other countries and can provide novel insights on optimizing charging station locations for sustainable economic development and reducing freight transport's carbon emissions and environmental risks.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ENVIRONMENTAL ECONOMICS
ISSN
1998-6041
e-ISSN
1998-6041
Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
UA - UKRAINE
Number of pages
17
Pages from-to
16-31
UT code for WoS article
001282375700002
EID of the result in the Scopus database
2-s2.0-85184618604