FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2043260261> ?p ?o ?g. }

• W2043260261 endingPage "04015008" @default.
• W2043260261 startingPage "04015008" @default.
• W2043260261 abstract "The rapid growth of freight traffic is now taxing a significant number of the U.S. national freight corridors. Additional demand accompanied by trucks over legal weight limits has been accelerating pavement and bridge deterioration at a faster rate than anticipated. States do not collect sufficient revenues to offset pavement and bridge damage caused by overweight trucks. As increase in overweight permit fee may affect different stakeholders positively and/or negatively, decision makers must develop policy options considering multiple conflicting objectives simultaneously. A multiobjective analysis approach [i.e., the ε (epsilon)-constraint method] was applied to address conflicting objectives associated with overweight freight truck mobility and to identify rational overweight truck damage cost recovery fee options by generating detailed tradeoffs between these options. Bridge damage costs were estimated as fatigue damage using finite-element simulation models of bridge archetypes and pavement damage costs were estimated using a method based on equivalent single-axle load as per AASHTO standard. These costs were used to develop the mathematical relationship between the objectives and constraints in the multiobjective model. This paper presents a case study with two objectives, as follows: (1) minimization of unpaid pavement and bridge damage by overweight freight trucks, and (2) minimization of overweight damage cost recovery fees. A set of 10 overweight fee options and the associated tradeoffs are developed for four damage cost recovery fee types [i.e., (1) flat, (2) axle-based, (3) weight-based, and (4) weight-distance-based fee types]. The tradeoff analysis reveals that increasing the flat overweight damage cost recovery fee by $1 from $43 will reduce unpaid damages by $4.2 million annually in South Carolina with a high elasticity of demand. In the axle-based damage cost recovery fee type, increasing the average axle-based overweight damage cost recovery fee by $1 from $43 will reduce unpaid damages of $3.8 million annually in South Carolina. These types of tradeoff analyses provide valuable information to decision makers in selecting types and levels of fee for overweight trucks. Tradeoff analysis framework and results of the tradeoff analysis depicted in the paper contributes to assessing infrastructure damage due to overweight trucks, and developing damage recovery fee policies considering multiple conflicting objectives." @default.
• W2043260261 created "2016-06-24" @default.
• W2043260261 creator A5044560227 @default.
• W2043260261 creator A5079785606 @default.
• W2043260261 creator A5084196641 @default.
• W2043260261 creator A5088109829 @default.
• W2043260261 date "2015-07-01" @default.
• W2043260261 modified "2023-09-25" @default.
• W2043260261 title "Infrastructure Damage-Cost-Recovery Fee for Overweight Trucks: Tradeoff Analysis Framework" @default.
• W2043260261 cites W1555857857 @default.
• W2043260261 cites W1561610472 @default.
• W2043260261 cites W1595498733 @default.
• W2043260261 cites W1595609744 @default.
• W2043260261 cites W1840619663 @default.
• W2043260261 cites W1966097575 @default.
• W2043260261 cites W1993674122 @default.
• W2043260261 cites W2004399371 @default.
• W2043260261 cites W2008499862 @default.
• W2043260261 cites W2020061819 @default.
• W2043260261 cites W2026662237 @default.
• W2043260261 cites W2028934378 @default.
• W2043260261 cites W2029184015 @default.
• W2043260261 cites W2029844279 @default.
• W2043260261 cites W2046879450 @default.
• W2043260261 cites W2064556516 @default.
• W2043260261 cites W2069478488 @default.
• W2043260261 cites W2158753060 @default.
• W2043260261 cites W2404523348 @default.
• W2043260261 cites W2615258659 @default.
• W2043260261 cites W2810119144 @default.
• W2043260261 cites W2904250082 @default.
• W2043260261 cites W584176840 @default.
• W2043260261 cites W595051364 @default.
• W2043260261 cites W599936712 @default.
• W2043260261 cites W64465710 @default.
• W2043260261 doi "https://doi.org/10.1061/(asce)te.1943-5436.0000769" @default.
• W2043260261 hasPublicationYear "2015" @default.
• W2043260261 type Work @default.
• W2043260261 sameAs 2043260261 @default.
• W2043260261 citedByCount "7" @default.
• W2043260261 countsByYear W20432602612016 @default.
• W2043260261 countsByYear W20432602612017 @default.
• W2043260261 countsByYear W20432602612018 @default.
• W2043260261 countsByYear W20432602612021 @default.
• W2043260261 crossrefType "journal-article" @default.
• W2043260261 hasAuthorship W2043260261A5044560227 @default.
• W2043260261 hasAuthorship W2043260261A5079785606 @default.
• W2043260261 hasAuthorship W2043260261A5084196641 @default.
• W2043260261 hasAuthorship W2043260261A5088109829 @default.
• W2043260261 hasConcept C100776233 @default.
• W2043260261 hasConcept C126322002 @default.
• W2043260261 hasConcept C127413603 @default.
• W2043260261 hasConcept C129727815 @default.
• W2043260261 hasConcept C137635306 @default.
• W2043260261 hasConcept C144133560 @default.
• W2043260261 hasConcept C171146098 @default.
• W2043260261 hasConcept C175291020 @default.
• W2043260261 hasConcept C199360897 @default.
• W2043260261 hasConcept C21547014 @default.
• W2043260261 hasConcept C22212356 @default.
• W2043260261 hasConcept C2780586474 @default.
• W2043260261 hasConcept C41008148 @default.
• W2043260261 hasConcept C42475967 @default.
• W2043260261 hasConcept C511355011 @default.
• W2043260261 hasConcept C52121051 @default.
• W2043260261 hasConcept C66938386 @default.
• W2043260261 hasConcept C71924100 @default.
• W2043260261 hasConceptScore W2043260261C100776233 @default.
• W2043260261 hasConceptScore W2043260261C126322002 @default.
• W2043260261 hasConceptScore W2043260261C127413603 @default.
• W2043260261 hasConceptScore W2043260261C129727815 @default.
• W2043260261 hasConceptScore W2043260261C137635306 @default.
• W2043260261 hasConceptScore W2043260261C144133560 @default.
• W2043260261 hasConceptScore W2043260261C171146098 @default.
• W2043260261 hasConceptScore W2043260261C175291020 @default.
• W2043260261 hasConceptScore W2043260261C199360897 @default.
• W2043260261 hasConceptScore W2043260261C21547014 @default.
• W2043260261 hasConceptScore W2043260261C22212356 @default.
• W2043260261 hasConceptScore W2043260261C2780586474 @default.
• W2043260261 hasConceptScore W2043260261C41008148 @default.
• W2043260261 hasConceptScore W2043260261C42475967 @default.
• W2043260261 hasConceptScore W2043260261C511355011 @default.
• W2043260261 hasConceptScore W2043260261C52121051 @default.
• W2043260261 hasConceptScore W2043260261C66938386 @default.
• W2043260261 hasConceptScore W2043260261C71924100 @default.
• W2043260261 hasIssue "7" @default.
• W2043260261 hasLocation W20432602611 @default.
• W2043260261 hasOpenAccess W2043260261 @default.
• W2043260261 hasPrimaryLocation W20432602611 @default.
• W2043260261 hasRelatedWork W2039113684 @default.
• W2043260261 hasRelatedWork W2058391315 @default.
• W2043260261 hasRelatedWork W2068164525 @default.
• W2043260261 hasRelatedWork W2347792353 @default.
• W2043260261 hasRelatedWork W2372217805 @default.
• W2043260261 hasRelatedWork W2382207118 @default.
• W2043260261 hasRelatedWork W2392264152 @default.
• W2043260261 hasRelatedWork W2984416451 @default.
• W2043260261 hasRelatedWork W565431847 @default.

• next