Mapping sustainable synergies: a network analysis of LEED-NC v3 credits in multifamily residential projects

被引:0
作者
Goodarzi, Mohsen [1 ]
Shayesteh, Alireza [1 ]
Garshasby, Mohsen [2 ]
Son, Juntae Jake [1 ]
机构
[1] Ball State Univ, Muncie, IN 47306 USA
[2] Mississippi State Univ, Starkville, MS USA
关键词
Sustainability; LEED; Green building; Network analysis; New construction; Multifamily residential; SATISFACTION; BUILDINGS;
D O I
10.1108/sasbe-10-2024-0407; 10.1108/SASBE-10-2024-0407
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
PurposeThe study aims to reveal how LEED credits interact to optimize sustainability outcomes. By identifying critical credits, this research provides a strategic framework for more efficient decision-making in green building certification.Design/methodology/approachThe study uses network analysis to examine relationships between LEED-NC v3 credits in multifamily residential projects. Data from 869 projects were analyzed using JASP software, focusing on key sustainability credit interactions and centrality measures to identify high-leverage credits.FindingsThe analysis shows a sparse network, with key credits like EA1 (Optimize Energy Performance) and MR1.1 (Building Reuse) being highly influential. Focusing on these high-centrality credits can significantly enhance sustainability outcomes.Research limitations/implicationsThe study is limited to LEED-NC v3 multifamily residential projects. For broader applicability, further research could explore other building types and LEED versions.Practical implicationsThe findings offer a roadmap for project teams to prioritize impactful credits, improve sustainability outcomes, and streamline the LEED certification process.Social implicationsThe study promotes sustainability by identifying critical LEED credits that help reduce resource consumption and environmental impact. This can lead to healthier living environments and improved well-being for communities, supporting broader social and environmental goals.Originality/valueThis research uniquely applies network analysis to LEED credits, offering new insights into optimizing the certification process. It provides a valuable framework for green building practitioners to make more strategic decisions, ultimately improving sustainability outcomes in construction projects.
引用
收藏
页数:15
相关论文
共 34 条
[1]  
[Anonymous], 2013, LEED REFERENCE GUIDE
[2]  
Arimie CO, 2020, OALib, V07, P1, DOI [10.4236/oalib.1106619, 10.4236/OALIB.1106619, DOI 10.4236/OALIB.1106619, 10.4236/oalib.1106619]
[3]   What Do Centrality Measures Measure in Psychological Networks? [J].
Bringmann, Laura F. ;
Elmer, Timon ;
Epskamp, Sacha ;
Krause, Robert W. ;
Schoch, David ;
Wichers, Marieke ;
Wigman, Johanna T. W. ;
Snippe, Evelien .
JOURNAL OF ABNORMAL PSYCHOLOGY, 2019, 128 (08) :892-903
[4]   A non-linear case-based reasoning approach for retrieval of similar cases and selection of target credits in LEED projects [J].
Cheng, Jack C. P. ;
Ma, Lucky J. .
BUILDING AND ENVIRONMENT, 2015, 93 :349-361
[5]  
Cook R.D. Weisberg., 1982, Residuals and Influence in Regression, DOI [10.2307/2981746, DOI 10.2307/2981746]
[6]  
COOK RD, 1980, TECHNOMETRICS, V22, P495
[7]   Occupant satisfaction in LEED-certified higher education buildings [J].
Driza, Pamela-Jean N. ;
Park, Nam-Kyu .
SMART AND SUSTAINABLE BUILT ENVIRONMENT, 2014, 3 (03) :223-236
[8]   A Tutorial on Regularized Partial Correlation Networks [J].
Epskamp, Sacha ;
Fried, Eiko I. .
PSYCHOLOGICAL METHODS, 2018, 23 (04) :617-634
[9]   Generalized Network Psychometrics: Combining Network and Latent Variable Models [J].
Epskamp, Sacha ;
Rhemtulla, Mijke ;
Borsboom, Denny .
PSYCHOMETRIKA, 2017, 82 (04) :904-927
[10]   The relations between different components of intolerance of uncertainty and symptoms of depression during the COVID-19 pandemic: A network analysis [J].
Feng, Tingwei ;
Ren, Lei ;
Liu, Chang ;
Li, Kuiliang ;
Wu, Lin ;
Wei, Xinyi ;
Yuan, Shangqing ;
Cui, Long-Biao ;
Yang, Xi ;
Li, Danyang ;
Yang, Wei ;
Li, Ye ;
Wang, Buyao ;
Wang, Hui ;
Liu, Xufeng .
FRONTIERS IN PSYCHIATRY, 2022, 13