FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2040283802> ?p ?o ?g. }

• W2040283802 endingPage "335" @default.
• W2040283802 startingPage "325" @default.
• W2040283802 abstract "Tools and methods able to cope with uncertainties are essential for improving the credibility of Life Cycle Assessment (LCA) as a decision support tool. Previous approaches have focussed predominately upon data quality. and Scope. An epistemological approach is presented conceptualising uncertainties in a comparative, prospective, attributional LCA. This is achieved by considering a set of cornerstone scenarios representing future developments of an entire Life Cycle Inventory (LCI) product system. We illustrate the method using a comparison of future transport systems. Scenario modelling is organized by means of Formative Scenario Analysis (FSA), which provides a set of possible and consistent scenarios of those unit processes of an LCI product system which are time dependent and of environmental importance. Scenarios are combinations of levels of socio-economic or technological impact variables. Two core elements of FSA are applied in LCI scenario modelling. So-called impact matrix analysis is applied to determine the relationship between unit process specific socio-economic variables and technology variables. Consistency Analysis is employed to integrate unit process scenarios, based on pair-wise ratings of the consistency of the levels of socio-economic impact variables of all unit processes. Two software applications are employed which are available from the authors. The study reveals that each possible level or development of a technology variable is best conceived of as the impact of a specific socio-economic (sub-) scenario. This allows for linking possible future technology options within the socio-economic context of the future development of various background processes. In an illustrative case study, the climate change scores and nitrogen dioxide scores per seat kilometre for six technology options of regional rail transport are compared. Similar scores are calculated for a future bus alternative and an average Swiss car. The scenarios are deliberately chosen to maximise diversity. That is, they represent the entire range of future possible developments. Reference data and the unit process structure are taken from the Swiss LCA database 'ecoinvent 2000'. The results reveal that rail transport remains the best option for future regional transport in Switzerland. In all four assessed scenarios, four technology options of future rail transport perform considerably better than regional bus transport and car transport. and Recommendations. The case study demonstrates the general feasibility of the developed approach for attributional prospective LCA. It allows for a focussed and in-depth analysis of the future development of each single unit process, while still accounting for the requirements of the final scenario integration. Due to its high transparency, the procedure supports the validation of LCI results. Furthermore, it is well-suited for incorporation into participatory methods so as to increase their credibility. and Future Work. Thus far, the proposed approach is only applied on a vehicle level not taking into account alterations in demand and use of different transport modes. Future projects will enhance the approach by tackling uncertainties in technology assessment of future transport systems. For instance, environmental interventions involving future maglev technology will be assessed so as to account for induced traffic generated by the introduction of a new transport system." @default.
• W2040283802 created "2016-06-24" @default.
• W2040283802 creator A5020171024 @default.
• W2040283802 creator A5033570209 @default.
• W2040283802 creator A5066046413 @default.
• W2040283802 creator A5086644078 @default.
• W2040283802 date "2004-10-20" @default.
• W2040283802 modified "2023-10-16" @default.
• W2040283802 title "Scenario Modelling in Prospective LCA of Transport Systems. Application of Formative Scenario Analysis (11 pp)" @default.
• W2040283802 cites W128257649 @default.
• W2040283802 cites W1533967694 @default.
• W2040283802 cites W1597269040 @default.
• W2040283802 cites W1606080415 @default.
• W2040283802 cites W1979125205 @default.
• W2040283802 cites W1980040005 @default.
• W2040283802 cites W1984472757 @default.
• W2040283802 cites W1987369045 @default.
• W2040283802 cites W2012733026 @default.
• W2040283802 cites W2015094959 @default.
• W2040283802 cites W2017426200 @default.
• W2040283802 cites W2050212459 @default.
• W2040283802 cites W2056635954 @default.
• W2040283802 cites W2076817790 @default.
• W2040283802 cites W2084510084 @default.
• W2040283802 cites W215377340 @default.
• W2040283802 cites W2157818448 @default.
• W2040283802 cites W2158686489 @default.
• W2040283802 cites W2329288165 @default.
• W2040283802 cites W3161264751 @default.
• W2040283802 cites W36744737 @default.
• W2040283802 cites W602502219 @default.
• W2040283802 doi "https://doi.org/10.1065/lca2004.10.188" @default.
• W2040283802 hasPublicationYear "2004" @default.
• W2040283802 type Work @default.
• W2040283802 sameAs 2040283802 @default.
• W2040283802 citedByCount "76" @default.
• W2040283802 countsByYear W20402838022012 @default.
• W2040283802 countsByYear W20402838022013 @default.
• W2040283802 countsByYear W20402838022014 @default.
• W2040283802 countsByYear W20402838022015 @default.
• W2040283802 countsByYear W20402838022016 @default.
• W2040283802 countsByYear W20402838022017 @default.
• W2040283802 countsByYear W20402838022018 @default.
• W2040283802 countsByYear W20402838022019 @default.
• W2040283802 countsByYear W20402838022020 @default.
• W2040283802 countsByYear W20402838022021 @default.
• W2040283802 countsByYear W20402838022022 @default.
• W2040283802 countsByYear W20402838022023 @default.
• W2040283802 crossrefType "journal-article" @default.
• W2040283802 hasAuthorship W2040283802A5020171024 @default.
• W2040283802 hasAuthorship W2040283802A5033570209 @default.
• W2040283802 hasAuthorship W2040283802A5066046413 @default.
• W2040283802 hasAuthorship W2040283802A5086644078 @default.
• W2040283802 hasBestOaLocation W20402838022 @default.
• W2040283802 hasConcept C10138342 @default.
• W2040283802 hasConcept C111919701 @default.
• W2040283802 hasConcept C112930515 @default.
• W2040283802 hasConcept C122637931 @default.
• W2040283802 hasConcept C127413603 @default.
• W2040283802 hasConcept C134306372 @default.
• W2040283802 hasConcept C139719470 @default.
• W2040283802 hasConcept C144133560 @default.
• W2040283802 hasConcept C145420912 @default.
• W2040283802 hasConcept C151730666 @default.
• W2040283802 hasConcept C154945302 @default.
• W2040283802 hasConcept C162324750 @default.
• W2040283802 hasConcept C177264268 @default.
• W2040283802 hasConcept C17744445 @default.
• W2040283802 hasConcept C182365436 @default.
• W2040283802 hasConcept C18785705 @default.
• W2040283802 hasConcept C199360897 @default.
• W2040283802 hasConcept C199539241 @default.
• W2040283802 hasConcept C2524010 @default.
• W2040283802 hasConcept C2776436953 @default.
• W2040283802 hasConcept C2778012447 @default.
• W2040283802 hasConcept C2778348673 @default.
• W2040283802 hasConcept C2778706760 @default.
• W2040283802 hasConcept C2779343474 @default.
• W2040283802 hasConcept C2780224610 @default.
• W2040283802 hasConcept C33923547 @default.
• W2040283802 hasConcept C41008148 @default.
• W2040283802 hasConcept C42475967 @default.
• W2040283802 hasConcept C86803240 @default.
• W2040283802 hasConcept C90673727 @default.
• W2040283802 hasConcept C98045186 @default.
• W2040283802 hasConceptScore W2040283802C10138342 @default.
• W2040283802 hasConceptScore W2040283802C111919701 @default.
• W2040283802 hasConceptScore W2040283802C112930515 @default.
• W2040283802 hasConceptScore W2040283802C122637931 @default.
• W2040283802 hasConceptScore W2040283802C127413603 @default.
• W2040283802 hasConceptScore W2040283802C134306372 @default.
• W2040283802 hasConceptScore W2040283802C139719470 @default.
• W2040283802 hasConceptScore W2040283802C144133560 @default.
• W2040283802 hasConceptScore W2040283802C145420912 @default.
• W2040283802 hasConceptScore W2040283802C151730666 @default.
• W2040283802 hasConceptScore W2040283802C154945302 @default.
• W2040283802 hasConceptScore W2040283802C162324750 @default.
• W2040283802 hasConceptScore W2040283802C177264268 @default.

• next