Research on Low Carbon Bridge Evaluation System Based on CRITIC-Grey Clustering Method

DOI

10.2991/978-94-6463-726-7_47How to use a DOI?

Keywords

Bridge engineering; Low carbon evaluation; Comprehensive weight; Grey clustering method; Carbon footprint

Abstract

As a core component of construction engineering, the carbon emission assessment of Bridges is crucial to achieve a green and low-carbon transition in the construction sector. In order to promote the further development of the field of bridge carbon emission assessment, this study established a low-carbon assessment system for bridge engineering in the whole life cycle by combining qualitative and quantitative analysis. The system calculates the comprehensive weight of low-carbon evaluation indicators through the subjective and objective combination of AHP-CRITIC, and then constructs a gray whitening weight function to judge the evaluation grade of low-carbon Bridges. In order to make up for the unicity of qualitative evaluation, the carbon footprint of Bridges is refined based on carbon emission factor method, and the improvement measures for low-carbon bridge construction are put forward in a targeted way, which is an important direction for the green low-carbon transformation of Bridges.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rengui Jin
PY  - 2025
DA  - 2025/06/13
TI  - Research on Low Carbon Bridge Evaluation System Based on CRITIC-Grey Clustering Method
BT  - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
PB  - Atlantis Press
SP  - 482
EP  - 495
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-726-7_47
DO  - 10.2991/978-94-6463-726-7_47
ID  - Jin2025
ER  -