Environmental and economic benefit comparison between coupled grey-green infrastructure system and traditional grey one through a life cycle perspective

Xu, Changqing; Liu, Zijing; Chen, Zhenxia; Zhu, Yifei; Yin, Dingkun; Leng, Linyuan; Jia, Haifeng; Zhang, Xiang; Xia, Jun; Fu, Guangtao

doi:10.1016/j.resconrec.2021.105804

Cited by 40 publications

(13 citation statements)

References 34 publications

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“…Detailed analyzes of the benefits of GBI systems compared to those obtained from the implementation of grey infrastructure, have been carried out both by GBI beneficiaries (local authorities, private institutions) and GBI providers (such as McDonald Mac Mot, but also many other public companies and private) or by associated academic researchers, each of them highlighting possible implementations with practical case studies [53], which can be an inspiration for cities that have not yet started such projects.…”

Section: Relevant Approaches In Gbi Implementationmentioning

confidence: 99%

Computer-Supported Smart Green-Blue Infrastructure Management

Vişan

Mone

2023

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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Answering climate change challenges, the paper proposes an intelligent decision support system (DSS) for the management of green-blue infrastructure (GBI). Addressing the gaps identified in other studies, the designed DSS incorporates four key elements: 1/interdisciplinary collaboration among all stakeholders 2/inclusion of practical operation and maintenance activities, 3/main components of distributed DSS, with practical examples of use, 4/consideration of conditions specific to the location. The multi-layered DSS architecture can be implemented as a unified platform that provides a comprehensive, customizable, and flexible framework based on AI tools, big data and analytics, edge computing, cloud, and mobile, IIoT, and biometric system tools. The use of cobots and digital clones alongside humans results in the implementation of hybrid human-machine units. DSS for GBI increases decision-making capacity and can serve as a foundation for the implementation of similar systems by governments and local communities to build sustainable and resilient communities.

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Section: Relevant Approaches In Gbi Implementationmentioning

confidence: 99%

Computer-Supported Smart Green-Blue Infrastructure Management

Vişan

Mone

2023

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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“…The analysis of the existing literature reveals that the majority of studies focus on single life-cycle optimization, with only a limited number addressing multi-objective optimization [70][71][72][73][74]. For instance, some investigations concentrate solely on LCC targets [70,75].…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Comprehensive Performance of Green Infrastructure through a Life-Cycle Perspective: A Review

Wang

Sun

et al. 2023

Sustainability

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Climate change represents a paramount challenge for humanity in the 21st century. Green infrastructure (GI), due to its myriad environmental and societal benefits, has emerged as an essential natural life support system and a pivotal strategy to combat climate change-induced risks. Consequently, GI has garnered considerable global interest. As of now, comprehensive and systematic environmental impact assessments of GI are underway worldwide. Nonetheless, there remains a conspicuous scarcity of life-cycle approaches to delineate the evolutionary trajectory of this domain. Employing three bibliometric software tools—the R language “Bibliometrix” package (version 4.0.1), CiteSpace (version 6.2.R2 Basic), and “VOSviewer” (version 1.6.18)—this study scrutinizes the progression of the GI paradigm until 2022. An exhaustive review of 1124 documents published on the Web of Science between 1995 and 2022 facilitates an overarching evaluation of GI, encompassing environmental, economic, and social facets from a life-cycle standpoint. The analysis results reveal that (1) the majority of current studies accentuate the economic and environmental efficacy of GI throughout its life cycle, with the social performance receiving comparatively less focus, potentially due to the difficulties in formulating a social life-cycle-assessment database; (2) contemporary research predominantly concentrates on the life-cycle carbon footprint of GI, warranting further exploration into its water and carbon footprints; and (3) multi-objective optimization emerges as a promising avenue for future GI investigations. This review thus furnishes a comprehensive understanding of the performance of GI from a life-cycle perspective.

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“…From an economic perspective, the economic benefits resulting from the gray and green paired system operation stage can make the total payback time of the economic costs within 4.0 years. The external economic costs and benefits of combined gray and green systems exert a high influence on the analysis of the total economic costs and benefits, especially for the costs and benefits of ecological restoration [22].…”

Section: Life Cycle Cost Analysismentioning

confidence: 99%

Improved Performance of Toll Road Projects Based on System Dynamics Integrated Life Cycle Cost Analysis Green Retrofitting

Yuliatti¹,

Husin²,

Sutikno³

2022

cea

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The increasing number of infrastructure development efforts, one of which is toll roads, of course has a coordinated impact on natural damage because it causes emissions, pollution, and environmental damage. Green road rankings can be an instrument for the degree of implementation of green infrastructure and the level of reforestation in toll road development efforts. Guidelines for green road ranking SE Minister of PUPR. Number: 04/SE/M/2018 is one of the efforts to encourage the implementation of sustainable construction in infrastructure implementation. Furthermore, these green road points can be implemented on existing toll roads and meet the sustainability criteria. This study aims in the innovation of Dynamic Model Implementation and Life Cycle Cost Analysis on Green Infrastructure-based Toll Road works which will result in Cost Efficiency and add value to Toll Roads. For data processing, we used SPSS (Statistical Package for the Social Sciences), a statistical analysis obtained from a questionnaire filled out by experts. From this process, we got the 10 best factors which are: 1. Authority to administer toll roads; 2. Reduction of air/dust pollution; 3. Greening; 4. Provision of access and public transportation facilities; 5. Recycle construction waste; 6. Renewable energy and application of innovation; 7. Renewable energy street lighting; 8. Modeling of dynamic systems; 9. Initial Retrofitting Costs; 10. Period of analysis. From the green retrofitting implementation scenarios, the optimistic scenario shows the highest rating score and the fastest return on investment in 3.92 years, with the toll road retrofitting cost of IDR 378,700,000,000.

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Environmental and economic benefit comparison between coupled grey-green infrastructure system and traditional grey one through a life cycle perspective

Cited by 40 publications

References 34 publications

Computer-Supported Smart Green-Blue Infrastructure Management

Computer-Supported Smart Green-Blue Infrastructure Management

Comprehensive Performance of Green Infrastructure through a Life-Cycle Perspective: A Review

Improved Performance of Toll Road Projects Based on System Dynamics Integrated Life Cycle Cost Analysis Green Retrofitting

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