FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3213658843> ?p ?o ?g. }

• W3213658843 endingPage "178" @default.
• W3213658843 startingPage "169" @default.
• W3213658843 abstract "The economic instrument is an effective approach to encourage demolition contractors to conduct low-impact waste management. It is essential for project managers and decision-makers to better understand the cost-benefit of demolition waste (DW) management, to promote development of an effective waste management plan. This study explores the interactive dynamics and adaptive nature between stakeholders, where the cost-benefit of DW management is analysed through the agent-based modelling approach. Shenzhen, a leading city in China in the management of DW, was selected as the study area. It was revealed that if the traditional demolition method is adopted as the primary choice, the net benefit of demolition of buildings in the study case will reach -131.4 billion yuan, i.e. the cost will surpass the revenue. If the selective demolition method is widely used by demolition contractors, simulation results indicate that the net benefit will reach 33.3 billion yuan, an increase of 125.34%, compared to the situation in which the traditional demolition method is widely implemented. Based on the simulation, an optimal management framework for DW management stakeholders was constructed. The research results can provide a decision-making basis for the government and relevant departments to formulate DW management measures." @default.
• W3213658843 created "2021-11-22" @default.
• W3213658843 creator A5015496883 @default.
• W3213658843 creator A5026676538 @default.
• W3213658843 creator A5029941351 @default.
• W3213658843 creator A5052184784 @default.
• W3213658843 creator A5052314415 @default.
• W3213658843 creator A5079828030 @default.
• W3213658843 date "2022-01-01" @default.
• W3213658843 modified "2023-10-16" @default.
• W3213658843 title "Cost-benefit analysis of demolition waste management via agent-based modelling: A case study in Shenzhen" @default.
• W3213658843 cites W1599540671 @default.
• W3213658843 cites W1974265057 @default.
• W3213658843 cites W1975088089 @default.
• W3213658843 cites W1982620558 @default.
• W3213658843 cites W1993239857 @default.
• W3213658843 cites W1993437736 @default.
• W3213658843 cites W2008682938 @default.
• W3213658843 cites W2012034674 @default.
• W3213658843 cites W2030265818 @default.
• W3213658843 cites W2034247612 @default.
• W3213658843 cites W2040947711 @default.
• W3213658843 cites W2050867915 @default.
• W3213658843 cites W2054490770 @default.
• W3213658843 cites W2057300183 @default.
• W3213658843 cites W2060518957 @default.
• W3213658843 cites W2076305942 @default.
• W3213658843 cites W2103740225 @default.
• W3213658843 cites W2135803202 @default.
• W3213658843 cites W2144889409 @default.
• W3213658843 cites W2145408484 @default.
• W3213658843 cites W2293139378 @default.
• W3213658843 cites W2331827066 @default.
• W3213658843 cites W2426713194 @default.
• W3213658843 cites W2517003640 @default.
• W3213658843 cites W2531002404 @default.
• W3213658843 cites W2531716239 @default.
• W3213658843 cites W2549730987 @default.
• W3213658843 cites W2615641716 @default.
• W3213658843 cites W2744742808 @default.
• W3213658843 cites W2902507457 @default.
• W3213658843 cites W2909877553 @default.
• W3213658843 cites W2911683278 @default.
• W3213658843 cites W2947798598 @default.
• W3213658843 cites W2949126268 @default.
• W3213658843 cites W2967986802 @default.
• W3213658843 cites W2971404538 @default.
• W3213658843 cites W2997235766 @default.
• W3213658843 cites W3002568660 @default.
• W3213658843 cites W3004532821 @default.
• W3213658843 cites W3011439212 @default.
• W3213658843 cites W3014610703 @default.
• W3213658843 cites W3027687656 @default.
• W3213658843 cites W3103906052 @default.
• W3213658843 cites W3154465695 @default.
• W3213658843 cites W3160050663 @default.
• W3213658843 doi "https://doi.org/10.1016/j.wasman.2021.10.036" @default.
• W3213658843 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34785435" @default.
• W3213658843 hasPublicationYear "2022" @default.
• W3213658843 type Work @default.
• W3213658843 sameAs 3213658843 @default.
• W3213658843 citedByCount "18" @default.
• W3213658843 countsByYear W32136588432022 @default.
• W3213658843 countsByYear W32136588432023 @default.
• W3213658843 crossrefType "journal-article" @default.
• W3213658843 hasAuthorship W3213658843A5015496883 @default.
• W3213658843 hasAuthorship W3213658843A5026676538 @default.
• W3213658843 hasAuthorship W3213658843A5029941351 @default.
• W3213658843 hasAuthorship W3213658843A5052184784 @default.
• W3213658843 hasAuthorship W3213658843A5052314415 @default.
• W3213658843 hasAuthorship W3213658843A5079828030 @default.
• W3213658843 hasConcept C10138342 @default.
• W3213658843 hasConcept C127413603 @default.
• W3213658843 hasConcept C134560507 @default.
• W3213658843 hasConcept C138885662 @default.
• W3213658843 hasConcept C144133560 @default.
• W3213658843 hasConcept C147176958 @default.
• W3213658843 hasConcept C162324750 @default.
• W3213658843 hasConcept C166957645 @default.
• W3213658843 hasConcept C195487862 @default.
• W3213658843 hasConcept C21547014 @default.
• W3213658843 hasConcept C2776505523 @default.
• W3213658843 hasConcept C2778076428 @default.
• W3213658843 hasConcept C2778137410 @default.
• W3213658843 hasConcept C2781469121 @default.
• W3213658843 hasConcept C39432304 @default.
• W3213658843 hasConcept C41895202 @default.
• W3213658843 hasConcept C91375879 @default.
• W3213658843 hasConcept C95457728 @default.
• W3213658843 hasConceptScore W3213658843C10138342 @default.
• W3213658843 hasConceptScore W3213658843C127413603 @default.
• W3213658843 hasConceptScore W3213658843C134560507 @default.
• W3213658843 hasConceptScore W3213658843C138885662 @default.
• W3213658843 hasConceptScore W3213658843C144133560 @default.
• W3213658843 hasConceptScore W3213658843C147176958 @default.
• W3213658843 hasConceptScore W3213658843C162324750 @default.
• W3213658843 hasConceptScore W3213658843C166957645 @default.
• W3213658843 hasConceptScore W3213658843C195487862 @default.

• next