Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building and Real Estate | en_US |
| dc.contributor.advisor | Chan, W. M. Daniel (BRE) | en_US |
| dc.creator | Lau, Kin Sing Ericson | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/13966 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | ESG-driven implementation framework and strategies for carbon neutrality in Hong Kong green buildings : overcoming facilities management challenges | en_US |
| dcterms.abstract | Achieving carbon neutrality in green buildings remains a formidable challenge within Hong Kong’s hyper-dense urban environment, where spatial limitations, fragmented regulatory frameworks, and disjointed environmental, social and governance (ESG) compliance mechanisms impede sustainability efforts and progress. This research study introduces the ESG VISA platform, operationalized through the BELUCKS framework, as a unified, technologically enabled solution to these persistent barriers. Rooted in a PESTLE analysis, ESG VISA integrates environmental, social, and governance priorities with financial viability and digital governance, providing a time-sensitive, investment-driven architecture for real-time carbon management, circularity assessment, and compliance automation. | en_US |
| dcterms.abstract | A comprehensive review of the existing green building grading systems and ESG reporting frameworks led to the establishment of the BELUCKS framework which operationalizes this vision through four interdependent pillars--Process, Grading, Reporting, and AI Agent--embedding advanced digital technologies such as Building Information Modelling (BIM), Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, Big Data, and Cloud Computing to form a self-optimizing ESG ecosystem that virtualizes regulatory, automates performance tracking, and aligns material flow with carbon accounting and circularity principles. Crucially, its dynamic carbon footprint modeling capability supports transparent, auditable, and finance-ready ESG assessments. | en_US |
| dcterms.abstract | Empirical testing, professional system design, and real-life case studies in diverse Hong Kong buildings were adopted to confirm the platform’s efficacy in enhancing ESG compliance accuracy, transparency, and efficiency. ESG VISA fosters a feedback loop between carbon performance data and green finance, creating an inexhaustible stream of resources for climate solutions and accelerating ESG ecosystem maturity. This study revealed that the synergy between digital ESG reporting and finance mobilization not only addresses current operational barriers but also provides a replicable, scalable clear roadmap for smart city development and global ESG standardization. By embedding Artificial Super Intelligence (ASI), the ESG VISA platform offers a transformative, future-proof framework for sustainable facilities management in Hong Kong and beyond. | en_US |
| dcterms.extent | 339 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2025 | en_US |
| dcterms.educationalLevel | DIREC | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8433.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.38 MB | Adobe PDF | View/Open |
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