Customized Approach to Greenhouse Gas Emissions Calculations in Railway Freight Transport
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Customized Approach to Greenhouse Gas Emissions Calculations in Railway Freight Transport
Original language description
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.
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
50204 - Business and management
Result continuities
Project
<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Science - Basel
ISSN
2076-3417
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
19
Country of publishing house
CH - SWITZERLAND
Number of pages
26
Pages from-to
1-26
UT code for WoS article
000708055300001
EID of the result in the Scopus database
2-s2.0-85116038166