Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective
Green construction in infrastructure projects has emerged as a crucial approach for reducing environmental impacts, yet its implementation is fraught with numerous uncertainties. To assess the capacity to maintain and restore green construction performance in complex environments, this study propose...
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| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/15/2594 |
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| author | Yikun Su Junhao Liu Zhizhe Zheng |
| author_facet | Yikun Su Junhao Liu Zhizhe Zheng |
| author_sort | Yikun Su |
| collection | DOAJ |
| description | Green construction in infrastructure projects has emerged as a crucial approach for reducing environmental impacts, yet its implementation is fraught with numerous uncertainties. To assess the capacity to maintain and restore green construction performance in complex environments, this study proposes the concept of Green Construction Performance Resilience (GCPR) for infrastructure projects and develops methodologies for its management and optimization. This study constructs a project network based on the labeled property graph (LPG) technique and demonstrates its dynamic evolution throughout the entire project lifecycle. A series of indicators for quantifying GCPR are constructed and applied, enabling the quantification of green construction performance resilience in infrastructure projects. An optimization method for GCPR based on genetic algorithms is proposed. Finally, the applicability and effectiveness of the proposed methodologies are validated through the analysis of real-world infrastructure project cases. The results demonstrate that the project network model can comprehensively capture the complexity of large-scale infrastructure projects, and that the GCPR indicators effectively measure green construction performance resilience, providing valuable decision-making support for project managers. The optimization algorithm has been validated and shown to improve the GCPR level of the project. This study enriches interdisciplinary research on project resilience and project complexity theory and provides project managers with quantitative analysis and visualization tools to facilitate the attainment of green construction performance objectives in infrastructure projects and accelerate the transition towards low-carbon practices. |
| format | Article |
| id | doaj-art-a55006d0e56840e187243bb5cdfe4dd2 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-a55006d0e56840e187243bb5cdfe4dd22025-08-20T03:36:39ZengMDPI AGBuildings2075-53092025-07-011515259410.3390/buildings15152594Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity PerspectiveYikun Su0Junhao Liu1Zhizhe Zheng2School of Civil Engineering and Transportation, Northeast Forestry University, 26 He Xing Road, Harbin 150040, ChinaSchool of Civil Engineering and Transportation, Northeast Forestry University, 26 He Xing Road, Harbin 150040, ChinaSchool of Energy and Civil Engineering, Harbin University of Commerce, National Center of Technology Innovation for Green and Low-Carbon Building, 1st XueHai Street, Harbin 150028, ChinaGreen construction in infrastructure projects has emerged as a crucial approach for reducing environmental impacts, yet its implementation is fraught with numerous uncertainties. To assess the capacity to maintain and restore green construction performance in complex environments, this study proposes the concept of Green Construction Performance Resilience (GCPR) for infrastructure projects and develops methodologies for its management and optimization. This study constructs a project network based on the labeled property graph (LPG) technique and demonstrates its dynamic evolution throughout the entire project lifecycle. A series of indicators for quantifying GCPR are constructed and applied, enabling the quantification of green construction performance resilience in infrastructure projects. An optimization method for GCPR based on genetic algorithms is proposed. Finally, the applicability and effectiveness of the proposed methodologies are validated through the analysis of real-world infrastructure project cases. The results demonstrate that the project network model can comprehensively capture the complexity of large-scale infrastructure projects, and that the GCPR indicators effectively measure green construction performance resilience, providing valuable decision-making support for project managers. The optimization algorithm has been validated and shown to improve the GCPR level of the project. This study enriches interdisciplinary research on project resilience and project complexity theory and provides project managers with quantitative analysis and visualization tools to facilitate the attainment of green construction performance objectives in infrastructure projects and accelerate the transition towards low-carbon practices.https://www.mdpi.com/2075-5309/15/15/2594infrastructuregreen construction performanceresilienceproject complexity |
| spellingShingle | Yikun Su Junhao Liu Zhizhe Zheng Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective Buildings infrastructure green construction performance resilience project complexity |
| title | Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective |
| title_full | Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective |
| title_fullStr | Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective |
| title_full_unstemmed | Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective |
| title_short | Enhancing the Green Construction Performance Resilience in Infrastructure Projects: A Complexity Perspective |
| title_sort | enhancing the green construction performance resilience in infrastructure projects a complexity perspective |
| topic | infrastructure green construction performance resilience project complexity |
| url | https://www.mdpi.com/2075-5309/15/15/2594 |
| work_keys_str_mv | AT yikunsu enhancingthegreenconstructionperformanceresilienceininfrastructureprojectsacomplexityperspective AT junhaoliu enhancingthegreenconstructionperformanceresilienceininfrastructureprojectsacomplexityperspective AT zhizhezheng enhancingthegreenconstructionperformanceresilienceininfrastructureprojectsacomplexityperspective |