Customized Approach to Greenhouse Gas Emissions Calculations in Railway Freight Transport
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F21%3A39918260" target="_blank" >RIV/00216275:25510/21:39918260 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/2076-3417/11/19/9077" target="_blank" >https://www.mdpi.com/2076-3417/11/19/9077</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app11199077" target="_blank" >10.3390/app11199077</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Customized Approach to Greenhouse Gas Emissions Calculations in Railway Freight Transport
Popis výsledku v původním jazyce
The topic of global warming is and will continue to be a crucial topic of this millennium. Freight transport, as a producer of greenhouse gas (hereinafter GHG) emissions, makes a significant contribution to the greenhouse effect. Large supply chains and large volumes of freight transport, which imply the production of significant volumes of GHG emissions, characterize the automotive industry (hereinafter AI). Thanks to these premises, it is necessary to seek and develop tools for reducing the volume of GHG emissions produced from the logistic activities of the AI, while maintaining the required level of logistic services. The assumptions for the calcu-lation of GHG emissions from railway freight transport (hereinafter RFT) in the AI were identi-fied through the use of semi-structured interviewing. Available railway freight GHG emission calculators were identified and analyzed from the perspective of suitability for the AI using a comparative content analysis. The main result of this manuscript is the proposal of a fully cus-tomized approach to GHG emission calculations in RFT for the AI. This approach was proposed, applied, and verified in the form of an interpretative case study. The use of this approach can be expected in support of logistic planning and decision making.
Název v anglickém jazyce
Customized Approach to Greenhouse Gas Emissions Calculations in Railway Freight Transport
Popis výsledku anglicky
The topic of global warming is and will continue to be a crucial topic of this millennium. Freight transport, as a producer of greenhouse gas (hereinafter GHG) emissions, makes a significant contribution to the greenhouse effect. Large supply chains and large volumes of freight transport, which imply the production of significant volumes of GHG emissions, characterize the automotive industry (hereinafter AI). Thanks to these premises, it is necessary to seek and develop tools for reducing the volume of GHG emissions produced from the logistic activities of the AI, while maintaining the required level of logistic services. The assumptions for the calcu-lation of GHG emissions from railway freight transport (hereinafter RFT) in the AI were identi-fied through the use of semi-structured interviewing. Available railway freight GHG emission calculators were identified and analyzed from the perspective of suitability for the AI using a comparative content analysis. The main result of this manuscript is the proposal of a fully cus-tomized approach to GHG emission calculations in RFT for the AI. This approach was proposed, applied, and verified in the form of an interpretative case study. The use of this approach can be expected in support of logistic planning and decision making.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
<a href="/cs/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Spolupráce Univerzity Pardubice a aplikační sféry v aplikačně orientovaném výzkumu lokačních, detekčních a simulačních systémů pro dopravní a přepravní procesy (PosiTrans)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Applied Science - Basel
ISSN
2076-3417
e-ISSN
—
Svazek periodika
11
Číslo periodika v rámci svazku
19
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
26
Strana od-do
1-26
Kód UT WoS článku
000708055300001
EID výsledku v databázi Scopus
2-s2.0-85116038166