FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1969876688> ?p ?o ?g. }

• W1969876688 abstract "The national emission from energy sector accounted for 84.7% of all domestic emissions in 2007. Of the energy-use emissions, the emission from mobile source as one of key categories accounted for 19.4% and further the road transport emission occupied the most dominant portion in the category. The road transport emissions can be estimated on the basis of either the fuel consumed (Tier 1) or the distance travelled by the vehicle types and road types (higher Tiers). The latter approach must be suitable for simultaneously estimating , , and emissions in local administrative districts. The objective of this study was to estimate 31 municipal GHG emissions from road transportation in Gyeonggi Province, Korea. In 2008, the municipalities were consisted of 2,014 towns expressed as Dong and Ri, the smallest administrative district unit. Since mobile sources are moving across other city and province borders, the emission estimated by fuel sold is in fact impossible to ensure consistency between neighbouring cities and provinces. On the other hand, the emission estimated by distance travelled is also impossible to acquire key activity data such as traffic volume, vehicle type and model, and road type in small towns. To solve the problem, we applied a hierarchical cluster analysis to separate town-by-town road patterns (clusters) based on a priori activity information including traffic volume, population, area, and branch road length obtained from small 151 towns. After identifying 10 road patterns, a rule building expert system was developed by visual basic application (VBA) to assort various unknown road patterns into one of 10 known patterns. The expert system was self-verified with original reference information and then objects in each homogeneous pattern were used to regress traffic volume based on the variables of population, area, and branch road length. The program was then applied to assign all the unknown towns into a known pattern and to automatically estimate traffic volumes by regression equations for each town. Further VKT (vehicle kilometer travelled) for each vehicle type in each town was calculated to be mapped by GIS (geological information system) and road transport emission on the corresponding road section was estimated by multiplying emission factors for each vehicle type. Finally all emissions from local branch roads in Gyeonggi Province could be estimated by summing up emissions from 1,902 towns where road information was registered. As a result of the study, the GHG average emission rate by the branch road transport was 6,101 kilotons of equivalent per year (kt- Eq/yr) and the total emissions from both main and branch roads was 24,152 kt- Eq/yr in Gyeonggi Province. The ratio of branch roads emission to the total was 0.28 in 2008." @default.
• W1969876688 created "2016-06-24" @default.
• W1969876688 creator A5073017500 @default.
• W1969876688 creator A5075563562 @default.
• W1969876688 creator A5078187284 @default.
• W1969876688 creator A5087130053 @default.
• W1969876688 date "2012-06-30" @default.
• W1969876688 modified "2023-09-27" @default.
• W1969876688 title "Development of Traffic Volume Estimation System in Main and Branch Roads to Estimate Greenhouse Gas Emissions in Road Transportation Category" @default.
• W1969876688 doi "https://doi.org/10.5572/kosae.2012.28.3.233" @default.
• W1969876688 hasPublicationYear "2012" @default.
• W1969876688 type Work @default.
• W1969876688 sameAs 1969876688 @default.
• W1969876688 citedByCount "3" @default.
• W1969876688 countsByYear W19698766882012 @default.
• W1969876688 countsByYear W19698766882014 @default.
• W1969876688 crossrefType "journal-article" @default.
• W1969876688 hasAuthorship W1969876688A5073017500 @default.
• W1969876688 hasAuthorship W1969876688A5075563562 @default.
• W1969876688 hasAuthorship W1969876688A5078187284 @default.
• W1969876688 hasAuthorship W1969876688A5087130053 @default.
• W1969876688 hasConcept C126314574 @default.
• W1969876688 hasConcept C127413603 @default.
• W1969876688 hasConcept C144024400 @default.
• W1969876688 hasConcept C149923435 @default.
• W1969876688 hasConcept C153294291 @default.
• W1969876688 hasConcept C154945302 @default.
• W1969876688 hasConcept C168443057 @default.
• W1969876688 hasConcept C18903297 @default.
• W1969876688 hasConcept C201995342 @default.
• W1969876688 hasConcept C205649164 @default.
• W1969876688 hasConcept C22212356 @default.
• W1969876688 hasConcept C2776436953 @default.
• W1969876688 hasConcept C2776720842 @default.
• W1969876688 hasConcept C2908647359 @default.
• W1969876688 hasConcept C2985695025 @default.
• W1969876688 hasConcept C39432304 @default.
• W1969876688 hasConcept C41008148 @default.
• W1969876688 hasConcept C47737302 @default.
• W1969876688 hasConcept C86803240 @default.
• W1969876688 hasConcept C96250715 @default.
• W1969876688 hasConceptScore W1969876688C126314574 @default.
• W1969876688 hasConceptScore W1969876688C127413603 @default.
• W1969876688 hasConceptScore W1969876688C144024400 @default.
• W1969876688 hasConceptScore W1969876688C149923435 @default.
• W1969876688 hasConceptScore W1969876688C153294291 @default.
• W1969876688 hasConceptScore W1969876688C154945302 @default.
• W1969876688 hasConceptScore W1969876688C168443057 @default.
• W1969876688 hasConceptScore W1969876688C18903297 @default.
• W1969876688 hasConceptScore W1969876688C201995342 @default.
• W1969876688 hasConceptScore W1969876688C205649164 @default.
• W1969876688 hasConceptScore W1969876688C22212356 @default.
• W1969876688 hasConceptScore W1969876688C2776436953 @default.
• W1969876688 hasConceptScore W1969876688C2776720842 @default.
• W1969876688 hasConceptScore W1969876688C2908647359 @default.
• W1969876688 hasConceptScore W1969876688C2985695025 @default.
• W1969876688 hasConceptScore W1969876688C39432304 @default.
• W1969876688 hasConceptScore W1969876688C41008148 @default.
• W1969876688 hasConceptScore W1969876688C47737302 @default.
• W1969876688 hasConceptScore W1969876688C86803240 @default.
• W1969876688 hasConceptScore W1969876688C96250715 @default.
• W1969876688 hasLocation W19698766881 @default.
• W1969876688 hasOpenAccess W1969876688 @default.
• W1969876688 hasPrimaryLocation W19698766881 @default.
• W1969876688 hasRelatedWork W16650596 @default.
• W1969876688 hasRelatedWork W2044483788 @default.
• W1969876688 hasRelatedWork W2089532610 @default.
• W1969876688 hasRelatedWork W2554435363 @default.
• W1969876688 hasRelatedWork W2603106874 @default.
• W1969876688 hasRelatedWork W2756615688 @default.
• W1969876688 hasRelatedWork W2908370356 @default.
• W1969876688 hasRelatedWork W2974228960 @default.
• W1969876688 hasRelatedWork W2993919418 @default.
• W1969876688 hasRelatedWork W3015708311 @default.
• W1969876688 hasRelatedWork W3018066621 @default.
• W1969876688 hasRelatedWork W3160121012 @default.
• W1969876688 hasRelatedWork W571147770 @default.
• W1969876688 hasRelatedWork W602927661 @default.
• W1969876688 hasRelatedWork W604673089 @default.
• W1969876688 hasRelatedWork W641993527 @default.
• W1969876688 hasRelatedWork W784643861 @default.
• W1969876688 hasRelatedWork W857250534 @default.
• W1969876688 hasRelatedWork W2166703521 @default.
• W1969876688 hasRelatedWork W3099046567 @default.
• W1969876688 isParatext "false" @default.
• W1969876688 isRetracted "false" @default.
• W1969876688 magId "1969876688" @default.
• W1969876688 workType "article" @default.