Text

Chapter Integrating ESG Factors into Construction Projects: A Blockchain-Based Data Management Approach

---

Environmental, Social, and Governance (ESG) investing has become increasingly significant in the Architecture, Engineering, and Construction (AEC) industry. However, the AEC industry faces challenges such as non-uniform standards, complex information sources, and data security concerns when collecting and verifying ESG data. At the same time, as one of the key points of carbon emission in AEC projects, the ESG management of construction projects is still lacking. This paper proposed a blockchain-based ESG data management framework, which designed to address these challenges in the AEC industry. The framework and the smart contract and transaction data model applied in it realize data collection and information verification in construction projects. By leveraging blockchain technology's key features of transparency, immutability, and traceability, the framework ensures secure and efficient ESG data management. Additionally, the InterPlanetary File System (IPFS) technology enables access to original files for data verification and comparison, further enhancing authenticity. By integrating blockchain and IPFS technologies, our proposed solution enhances the reliability and traceability of ESG data in the construction projects, paving the way for more sustainable and transparent practices

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

: Firenze University Press., 2023

Collation

-

Language

English

ISBN/ISSN

9791221502893

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

-

Specific Detail Info

-

Statement of Responsibility

-

Other Information

Cataloger

Hasan

Source

https://directory.doabooks.org/handle/20.500.12854/136264

Validator

-

Digital Object Identifier (DOI)

10.36253/979-12-215-0289-3.31

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment