Toward sustainable development: an assessment of the performance of green construction sites using fuzzy synthetic evaluation

模糊逻辑 可持续发展 计算机科学 建筑工程 工程类 人工智能 生态学 生物
作者
Thao Nguyen Thach,Minh Van Nguyen,Ha Duy Khanh,Chien Thanh Phan,Yonghan Ahn
出处
期刊:Engineering, Construction and Architectural Management [Emerald Publishing Limited]
被引量:2
标识
DOI:10.1108/ecam-07-2024-0839
摘要

Purpose Unlike the design or planning phases, the construction phase necessitates the coordination of multiple project stakeholders, real-time problem-solving and effectively managing physical resources under fluctuating site conditions. However, recent green rating systems are not yet designed to accommodate the unique nature of this stage. Thus, this study aims to develop an empirical measurement model to evaluate the performance of green construction sites (GCS), focusing on the Vietnamese construction industry. Design/methodology/approach Initially, a list of assessment criteria was identified by reviewing previous studies and semi-structured interviews. After that, a questionnaire survey was used to collect practitioners’ views regarding GCS performance. The 155 valid responses were analyzed employing the fuzzy synthetic evaluation (FSE) method. Findings The findings showed that the performance of GCS in Vietnam is at a moderate level, with a GCS index of 5.48. Indeed, the human-related factor was the most significant performance group for GCS in Vietnam. Construction site, energy, innovation and material-related factors were among the average performance factors. Moreover, water and waste-related factors were among the lowest performance factors. Originality/value This study highlights the importance of human-related factors, such as worker safety and environmental training, in achieving effective GCS performance. It is recommended that governments should enforce stricter guidelines on using low-embodied carbon materials, sustainable sourcing and effective waste management to improve GCS performance. Neighboring countries can also use valuable insights from this study to enhance their GCS performance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
粥粥完成签到,获得积分20
2秒前
2秒前
碎觉觉发布了新的文献求助10
4秒前
科研通AI6.4应助哈哈采纳,获得10
4秒前
orixero应助刘研采纳,获得10
4秒前
4秒前
hanchangcun发布了新的文献求助10
4秒前
MJC完成签到,获得积分10
4秒前
YU发布了新的文献求助20
4秒前
5秒前
5秒前
Cyber_relic发布了新的文献求助20
5秒前
5秒前
Parrot_PAI完成签到,获得积分10
5秒前
无极微光应助低糖低脂肪采纳,获得20
6秒前
Akim应助知性的珠采纳,获得10
6秒前
读二白完成签到,获得积分10
7秒前
难过的班完成签到 ,获得积分10
8秒前
张希伦完成签到 ,获得积分10
8秒前
游阿游发布了新的文献求助10
8秒前
Pumpinko发布了新的文献求助10
8秒前
粥粥发布了新的文献求助10
9秒前
含蓄的敏完成签到 ,获得积分10
10秒前
10秒前
10秒前
wanci应助地啦啦啦采纳,获得50
11秒前
哈哈完成签到,获得积分10
13秒前
aaaaaa发布了新的文献求助10
13秒前
溪泉发布了新的文献求助10
13秒前
Baonanza完成签到,获得积分10
13秒前
13秒前
15秒前
15秒前
16秒前
董董发布了新的文献求助10
16秒前
16秒前
17秒前
18秒前
18秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6722410
求助须知:如何正确求助?哪些是违规求助? 8458500
关于积分的说明 18058369
捐赠科研通 5975254
什么是DOI,文献DOI怎么找? 2996696
邀请新用户注册赠送积分活动 1972857
关于科研通互助平台的介绍 1926946