Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/115253
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Industrial and Systems Engineering | - |
| dc.contributor | Research Institute for Advanced Manufacturing | - |
| dc.contributor | Research Centre for Digital Transformation of Tourism | - |
| dc.creator | Ng, C | - |
| dc.creator | Li, M | - |
| dc.creator | Zhong, RR | - |
| dc.creator | Qu, X | - |
| dc.creator | Huang, GQ | - |
| dc.date.accessioned | 2025-09-17T03:46:39Z | - |
| dc.date.available | 2025-09-17T03:46:39Z | - |
| dc.identifier.issn | 1361-9209 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/115253 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_US |
| dc.subject | Carbon footprint | en_US |
| dc.subject | Cyber-physical internet | en_US |
| dc.subject | MiC logistics | en_US |
| dc.subject | Router | en_US |
| dc.subject | Routing table | en_US |
| dc.title | Establishing carbon footprints for modular integrated construction logistics using cyber-physical internet routers | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 133 | - |
| dc.identifier.doi | 10.1016/j.trd.2024.104259 | - |
| dcterms.abstract | Modular 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.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | Transportation research. Part D, Transport and environment, Aug. 2024, v. 133, 104259 | - |
| dcterms.isPartOf | Transportation research. Part D, Transport and environment | - |
| dcterms.issued | 2024-08 | - |
| dc.identifier.scopus | 2-s2.0-85195317358 | - |
| dc.identifier.eissn | 1879-2340 | - |
| dc.identifier.artn | 104259 | - |
| dc.description.validate | 202509 bcch | - |
| dc.identifier.FolderNumber | a4036 | en_US |
| dc.identifier.SubFormID | 51978 | en_US |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This 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.pubStatus | Published | en_US |
| dc.date.embargo | 2026-08-31 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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