Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115253
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.contributorResearch Institute for Advanced Manufacturing-
dc.contributorResearch Centre for Digital Transformation of Tourism-
dc.creatorNg, C-
dc.creatorLi, M-
dc.creatorZhong, RR-
dc.creatorQu, X-
dc.creatorHuang, GQ-
dc.date.accessioned2025-09-17T03:46:39Z-
dc.date.available2025-09-17T03:46:39Z-
dc.identifier.issn1361-9209-
dc.identifier.urihttp://hdl.handle.net/10397/115253-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectCarbon footprinten_US
dc.subjectCyber-physical interneten_US
dc.subjectMiC logisticsen_US
dc.subjectRouteren_US
dc.subjectRouting tableen_US
dc.titleEstablishing carbon footprints for modular integrated construction logistics using cyber-physical internet routersen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume133-
dc.identifier.doi10.1016/j.trd.2024.104259-
dcterms.abstractModular integrated construction (MiC) logistics is controversial regarding carbon emissions due to the increased weight of shipped modules. Logistics companies prefer efficiency-oriented and profit-oriented demand, which leads to limited carbon reduction. Relying on road transport intensifies these challenges, highlighting the need for improved strategies to mitigate environmental impacts. This study proposes adopting the concept of the cyber-physical internet (CPI) to digitalize carbon footprints in MiC logistics. A CPI carbon footprint framework is established by routers in MiC logistics. The unique characteristics of MiC and real-world instances are integrated into the proposed routing protocol. A routing algorithm for carbon emissions is improved by considering heavy trucks’ speed and loading capacities. Simulation studies are conducted using real-world data and databases to investigate the impacts of loading capacity and average speed on carbon footprints. This study contributes to the theoretical understanding and offers practical guidelines for effectively reducing carbon emissions in MiC logistics.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part D, Transport and environment, Aug. 2024, v. 133, 104259-
dcterms.isPartOfTransportation research. Part D, Transport and environment-
dcterms.issued2024-08-
dc.identifier.scopus2-s2.0-85195317358-
dc.identifier.eissn1879-2340-
dc.identifier.artn104259-
dc.description.validate202509 bcch-
dc.identifier.FolderNumbera4036en_US
dc.identifier.SubFormID51978en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported by the Hong Kong RGC Theme-based Research Scheme (No. T32-707-22-N), the Hong Kong RGC Research Impact Fund (No. R7036-22), and the Natural Science Foundation of Guangdong Province (No. 2023A1515011203).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-08-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-08-31
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