FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3188479939> ?p ?o ?g. }

• W3188479939 endingPage "084058" @default.
• W3188479939 startingPage "084058" @default.
• W3188479939 abstract "Abstract CO 2 emissions from fossil fuel combustion (FFCO2) are conventionally estimated from fuel used (as activity data (AD)) and CO 2 emissions factor. Recent traffic emission changes under the impact of the COVID-19 pandemic have been estimated using emerging non-fuel consumption data, such as human mobility data that tech companies reported as AD, due to the unavailability of timely fuel statistics. The use of such unconventional activity data (UAD) might allow us to provide emission estimates in near-real time; however, the errors and uncertainties associated with such estimates are expected to be larger than those of common FFCO2 inventory estimates, and thus should be provided along with a thorough evaluation/validation of the methodology and the resulting estimates. Here, we show the impact of COVID-19 on traffic CO 2 emissions over the first six months of 2020 in Japan. We calculated CO 2 monthly emissions using fuel consumption data and assessed the emission changes relative to 2019. Regardless of Japan’s soft approach to COVID-19, traffic emissions significantly declined by 23.8% during the state of emergency in Japan (April–May). We also compared relative emission changes among different estimates available. Our analysis suggests that UAD-based emission estimates during April and May could be biased by −19.6% to 12.6%. We also used traffic count data for examining the performance of UAD as a proxy for traffic and/or CO 2 emissions. We found the assumed proportional relationship between traffic changes and CO 2 emissions was not enough for estimating emissions with accuracy, and moreover, the traffic-based approach failed to capture emission seasonality. Our study highlighted the challenges and difficulties in repurposing data, especially ones with limited traceability/reproducibility, for modeling human activities and assessing the impact on the environment, and the importance of a thorough error and uncertainty assessment before using these data in policy applications." @default.
• W3188479939 created "2021-08-16" @default.
• W3188479939 creator A5010695127 @default.
• W3188479939 creator A5041877035 @default.
• W3188479939 creator A5052854135 @default.
• W3188479939 creator A5068528534 @default.
• W3188479939 creator A5090346721 @default.
• W3188479939 date "2021-08-01" @default.
• W3188479939 modified "2023-10-15" @default.
• W3188479939 title "Errors and uncertainties associated with the use of unconventional activity data for estimating CO₂ emissions: the case for traffic emissions in Japan" @default.
• W3188479939 cites W1987889601 @default.
• W3188479939 cites W2079783956 @default.
• W3188479939 cites W2096675513 @default.
• W3188479939 cites W2116988976 @default.
• W3188479939 cites W2139243186 @default.
• W3188479939 cites W2168433360 @default.
• W3188479939 cites W2738771715 @default.
• W3188479939 cites W2914939816 @default.
• W3188479939 cites W2916892335 @default.
• W3188479939 cites W2963398967 @default.
• W3188479939 cites W3026582775 @default.
• W3188479939 cites W3028953520 @default.
• W3188479939 cites W3048190739 @default.
• W3188479939 cites W3087582936 @default.
• W3188479939 cites W3093432062 @default.
• W3188479939 cites W3093475346 @default.
• W3188479939 cites W3106264152 @default.
• W3188479939 cites W3163638008 @default.
• W3188479939 cites W4287950419 @default.
• W3188479939 doi "https://doi.org/10.1088/1748-9326/ac109d" @default.
• W3188479939 hasPublicationYear "2021" @default.
• W3188479939 type Work @default.
• W3188479939 sameAs 3188479939 @default.
• W3188479939 citedByCount "9" @default.
• W3188479939 countsByYear W31884799392022 @default.
• W3188479939 countsByYear W31884799392023 @default.
• W3188479939 crossrefType "journal-article" @default.
• W3188479939 hasAuthorship W3188479939A5010695127 @default.
• W3188479939 hasAuthorship W3188479939A5041877035 @default.
• W3188479939 hasAuthorship W3188479939A5052854135 @default.
• W3188479939 hasAuthorship W3188479939A5068528534 @default.
• W3188479939 hasAuthorship W3188479939A5090346721 @default.
• W3188479939 hasBestOaLocation W31884799391 @default.
• W3188479939 hasConcept C105795698 @default.
• W3188479939 hasConcept C105923489 @default.
• W3188479939 hasConcept C126314574 @default.
• W3188479939 hasConcept C127413603 @default.
• W3188479939 hasConcept C149782125 @default.
• W3188479939 hasConcept C153294291 @default.
• W3188479939 hasConcept C162324750 @default.
• W3188479939 hasConcept C171146098 @default.
• W3188479939 hasConcept C178790620 @default.
• W3188479939 hasConcept C185592680 @default.
• W3188479939 hasConcept C187736073 @default.
• W3188479939 hasConcept C18903297 @default.
• W3188479939 hasConcept C205649164 @default.
• W3188479939 hasConcept C2776720842 @default.
• W3188479939 hasConcept C2780505938 @default.
• W3188479939 hasConcept C33923547 @default.
• W3188479939 hasConcept C39432304 @default.
• W3188479939 hasConcept C45882903 @default.
• W3188479939 hasConcept C47737302 @default.
• W3188479939 hasConcept C548081761 @default.
• W3188479939 hasConcept C68189081 @default.
• W3188479939 hasConcept C86803240 @default.
• W3188479939 hasConcept C96250715 @default.
• W3188479939 hasConceptScore W3188479939C105795698 @default.
• W3188479939 hasConceptScore W3188479939C105923489 @default.
• W3188479939 hasConceptScore W3188479939C126314574 @default.
• W3188479939 hasConceptScore W3188479939C127413603 @default.
• W3188479939 hasConceptScore W3188479939C149782125 @default.
• W3188479939 hasConceptScore W3188479939C153294291 @default.
• W3188479939 hasConceptScore W3188479939C162324750 @default.
• W3188479939 hasConceptScore W3188479939C171146098 @default.
• W3188479939 hasConceptScore W3188479939C178790620 @default.
• W3188479939 hasConceptScore W3188479939C185592680 @default.
• W3188479939 hasConceptScore W3188479939C187736073 @default.
• W3188479939 hasConceptScore W3188479939C18903297 @default.
• W3188479939 hasConceptScore W3188479939C205649164 @default.
• W3188479939 hasConceptScore W3188479939C2776720842 @default.
• W3188479939 hasConceptScore W3188479939C2780505938 @default.
• W3188479939 hasConceptScore W3188479939C33923547 @default.
• W3188479939 hasConceptScore W3188479939C39432304 @default.
• W3188479939 hasConceptScore W3188479939C45882903 @default.
• W3188479939 hasConceptScore W3188479939C47737302 @default.
• W3188479939 hasConceptScore W3188479939C548081761 @default.
• W3188479939 hasConceptScore W3188479939C68189081 @default.
• W3188479939 hasConceptScore W3188479939C86803240 @default.
• W3188479939 hasConceptScore W3188479939C96250715 @default.
• W3188479939 hasFunder F4320306101 @default.
• W3188479939 hasIssue "8" @default.
• W3188479939 hasLocation W31884799391 @default.
• W3188479939 hasOpenAccess W3188479939 @default.
• W3188479939 hasPrimaryLocation W31884799391 @default.
• W3188479939 hasRelatedWork W2059145018 @default.
• W3188479939 hasRelatedWork W207884067 @default.
• W3188479939 hasRelatedWork W2351434493 @default.
• W3188479939 hasRelatedWork W2382773887 @default.

• next