Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115847
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estateen_US
dc.creatorWu, Sen_US
dc.creatorTeng, Yen_US
dc.creatorPan, Wen_US
dc.creatorZhao, Xen_US
dc.date.accessioned2025-11-07T03:45:42Z-
dc.date.available2025-11-07T03:45:42Z-
dc.identifier.issn0360-1323en_US
dc.identifier.urihttp://hdl.handle.net/10397/115847-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectCarbon reductionen_US
dc.subjectDEMATEL-ISMen_US
dc.subjectEmbodied carbon (EC)en_US
dc.subjectModular integrated construction (MIC)en_US
dc.subjectTotal factor carbon (TFC)en_US
dc.titleOptimizing total factor carbon (TFC) of high-rise modular buildingsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume285en_US
dc.identifier.doi10.1016/j.buildenv.2025.113600en_US
dcterms.abstractModular integrated construction (MiC) is a transformative approach that enhances construction quality, safety, productivity, and sustainability. Although carbon reduction research in MiC is growing, stakeholders face challenges in evaluating the effectiveness of decarbonization strategies and determining their alignment with sustainability goals under resource constraints. This study addresses this critical gap by proposing an innovative total factor carbon (TFC) metric considering total-factor resource constraints (e.g., materials, cost, energy, time). It can rapidly assess cross-case decarbonization strategies during the cradle-to-the-end-of-construction stage. An environmental data envelopment analysis (DEA) model was developed to measure the TFC. It was followed by an enhanced decision-making trial and evaluation laboratory-interpretive structural model (DEMATEL-ISM) to analyze the complex interrelationships among 43 architecture, engineering, and construction (AEC) factors. A multi-dimensional analytical framework was developed to evaluate these factors from temporal (evolution, lifecycle stages), spatial (physical environment, building elements), and axiological (value-driven priorities, stakeholder involvements) perspectives. Scenario analyses of two representative MiC cases (with different structural systems and locations) examined 798 carbon reduction strategies from material, transport, and energy aspects. The results highlight the great importance of the design stage in achieving TFC optimization and project sustainability outcomes. The most effective decarbonization pathways under assumed scenarios include adopting low-carbon materials, shipping with new energy vehicles (NEVs), and transitioning to renewables. The proposed TFC offers industry practitioners and policymakers a decision-support tool for advancing sustainable MiC implementation. The findings will support developing comprehensive guidelines (e.g., roadmaps for decarbonization), incentives (e.g., subsidies or grants), and technical standards (e.g., low-carbon design code).en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationBuilding and environment, 1 Nov. 2025, v. 285, pt. B, 113600en_US
dcterms.isPartOfBuilding and environmenten_US
dcterms.issued2025-11-01-
dc.identifier.scopus2-s2.0-105015760839-
dc.identifier.eissn1873-684Xen_US
dc.identifier.artn113600en_US
dc.description.validate202511 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000330/2025-10-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work presented in this paper was supported by the Young Scientists Fund of National Natural Science Foundation of China ( 72301232 ), Guangdong Basic and Applied Basic Research Foundation (No. 2023A1515012558 ), General Research Fund of the Hong Kong Research Grants Council (Project No. 15220923 and 17201022 ), and Hong Kong Polytechnic University Carbon Neutrality Fund (No. P0043733 ). Also acknowledged is support from the Campus Development Office of Hong Kong Polytechnic University, AluHouse Company Limited, and China State Construction Hailong Technology Company Limited for access to the case building for study. We also acknowledge Siqian Ma for putting forward suggestions for the optimization of figures.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-11-01en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2027-11-01
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.