FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3179328627> ?p ?o ?g. }

• W3179328627 endingPage "025008" @default.
• W3179328627 startingPage "025008" @default.
• W3179328627 abstract "This study assesses life-cycle greenhouse gas (GHG) emissions associated with the entire railway infrastructure network of Austria, a first detailed study for a country, modelled through a top-down approach. Railway track is analysed for the first time in detail for a variety of specific boundary conditions using a bottom-up approach focusing on track renewal and maintenance. The methodology of standard elements allows for quantification of expected maintenance demands over the life cycle as well as determination of service life (SL). For this, the network is clustered into the main condition-affecting parameters, and documented maintenance and renewal measures are analysed and interpreted accordingly to estimate future behaviour. This Austrian approach used for assessing life-cycle costs serves as input for evaluating environmental impacts, a novel model. Data were gathered via environmental product declarations, governmental publications and company-specific environmental reports to correspond to the standard supply chains of the Austrian Federal Railways' (ÖBB) life-cycle (manufacturing, construction, maintenance and reuse/recycling) infrastructure practices, and reflect actual transport distances, transport modes, the Austrian electricity mix and emissions. The railway infrastructure causes 235 000 tonnes of CO2eq emissions per year (0.3% of Austria's total) based on the current infrastructure network, asset distribution and renewal rates. Within railway infrastructure, the track (including rails, fasteners, sleepers and ballast) is the main contributor to GHG emissions with 55% of the total. The GHG emissions associated with concrete tunnels are 16 times larger per kilometre per year than the railway track, but supply only 22% of the total emissions. The railway infrastructure contributes an additional 141% of GHG emissions over emissions from passenger traffic, which is much higher than previously anticipated. In-depth analysis of railway track shows that concrete sleepers with under-sleeper pads come with lower environmental impacts than conventional concrete sleepers. Higher traffic loads as well as narrow curves cause a significant increase in environmental impacts. For rails in a straight section with an SL of 50 years and two grinding measures, the costs regarding GHG emissions amount to €6500 per kilometre (including the production, construction and use phases) when calculating with a cost of €20 per tonne CO2eq on the market. Currently, this equals around 5% of the economic costs, but is expected to significantly increase as costs for environmental impacts are set to increase until 2050. Mitigation potential can be found in special rail steel production, reuse of materials, use of alternative fuels and efficient maintenance strategies." @default.
• W3179328627 created "2021-07-19" @default.
• W3179328627 creator A5064461054 @default.
• W3179328627 creator A5075286459 @default.
• W3179328627 date "2021-09-01" @default.
• W3179328627 modified "2023-09-30" @default.
• W3179328627 title "Embodied greenhouse gas assessment of railway infrastructure: the case of Austria" @default.
• W3179328627 cites W1535028519 @default.
• W3179328627 cites W1559415437 @default.
• W3179328627 cites W1615798338 @default.
• W3179328627 cites W1900732308 @default.
• W3179328627 cites W1969512764 @default.
• W3179328627 cites W1981751986 @default.
• W3179328627 cites W2007453615 @default.
• W3179328627 cites W2017043464 @default.
• W3179328627 cites W2019191624 @default.
• W3179328627 cites W2030235296 @default.
• W3179328627 cites W2037525666 @default.
• W3179328627 cites W2037637452 @default.
• W3179328627 cites W2062249252 @default.
• W3179328627 cites W2072283359 @default.
• W3179328627 cites W2077300548 @default.
• W3179328627 cites W2087787544 @default.
• W3179328627 cites W2107534223 @default.
• W3179328627 cites W2141038518 @default.
• W3179328627 cites W2146295555 @default.
• W3179328627 cites W2150616292 @default.
• W3179328627 cites W2151599117 @default.
• W3179328627 cites W2153980567 @default.
• W3179328627 cites W2185725126 @default.
• W3179328627 cites W2262226681 @default.
• W3179328627 cites W2338894253 @default.
• W3179328627 cites W2340972631 @default.
• W3179328627 cites W2402072345 @default.
• W3179328627 cites W2463838762 @default.
• W3179328627 cites W2476118104 @default.
• W3179328627 cites W2507988903 @default.
• W3179328627 cites W2549984026 @default.
• W3179328627 cites W2593777419 @default.
• W3179328627 cites W2740150827 @default.
• W3179328627 cites W2759758289 @default.
• W3179328627 cites W2781516321 @default.
• W3179328627 cites W2795158417 @default.
• W3179328627 cites W2889219397 @default.
• W3179328627 cites W2894671976 @default.
• W3179328627 cites W2908211935 @default.
• W3179328627 cites W2940392288 @default.
• W3179328627 cites W2945664587 @default.
• W3179328627 cites W2954634356 @default.
• W3179328627 cites W2969816384 @default.
• W3179328627 cites W2972996256 @default.
• W3179328627 cites W2980111286 @default.
• W3179328627 cites W3001350603 @default.
• W3179328627 cites W3003794527 @default.
• W3179328627 cites W3010677601 @default.
• W3179328627 cites W3011142099 @default.
• W3179328627 cites W3081558632 @default.
• W3179328627 cites W3087725661 @default.
• W3179328627 cites W3095793705 @default.
• W3179328627 cites W3107879459 @default.
• W3179328627 cites W3110477833 @default.
• W3179328627 cites W3113008516 @default.
• W3179328627 cites W3128422975 @default.
• W3179328627 doi "https://doi.org/10.1088/2634-4505/ac1242" @default.
• W3179328627 hasPublicationYear "2021" @default.
• W3179328627 type Work @default.
• W3179328627 sameAs 3179328627 @default.
• W3179328627 citedByCount "4" @default.
• W3179328627 countsByYear W31793286272022 @default.
• W3179328627 countsByYear W31793286272023 @default.
• W3179328627 crossrefType "journal-article" @default.
• W3179328627 hasAuthorship W3179328627A5064461054 @default.
• W3179328627 hasAuthorship W3179328627A5075286459 @default.
• W3179328627 hasBestOaLocation W31793286271 @default.
• W3179328627 hasConcept C119599485 @default.
• W3179328627 hasConcept C125907379 @default.
• W3179328627 hasConcept C127413603 @default.
• W3179328627 hasConcept C134560507 @default.
• W3179328627 hasConcept C139719470 @default.
• W3179328627 hasConcept C144133560 @default.
• W3179328627 hasConcept C162324750 @default.
• W3179328627 hasConcept C175605778 @default.
• W3179328627 hasConcept C18903297 @default.
• W3179328627 hasConcept C22212356 @default.
• W3179328627 hasConcept C2778348673 @default.
• W3179328627 hasConcept C2778706760 @default.
• W3179328627 hasConcept C38652104 @default.
• W3179328627 hasConcept C39432304 @default.
• W3179328627 hasConcept C41008148 @default.
• W3179328627 hasConcept C47737302 @default.
• W3179328627 hasConcept C76178495 @default.
• W3179328627 hasConcept C78519656 @default.
• W3179328627 hasConcept C86803240 @default.
• W3179328627 hasConcept C89992363 @default.
• W3179328627 hasConceptScore W3179328627C119599485 @default.
• W3179328627 hasConceptScore W3179328627C125907379 @default.
• W3179328627 hasConceptScore W3179328627C127413603 @default.
• W3179328627 hasConceptScore W3179328627C134560507 @default.

• next