A new framework for the sustainable development goals of Saudi Arabia

AlArjani, Ali; Modibbo, Umar Muhammad; Ali, Irfan; Sarkar, Biswajit

doi:10.1016/j.jksus.2021.101477

Cited by 50 publications

(29 citation statements)

References 23 publications

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“…When comparing this framework to other methodologies for decision-making processes in the industrial sector [47,48], it was clear from the theoretical and methodological point of view that their mathematical models, which present a single value solution to assess profit or SDG achievement level, can be complemented with our theoretical-empirical model, which is more compatible with the semi-informal nature of some systems, such as the fuelwood, and charcoal case studies. For example, decision-makers in the agri-food industry [47] may consider using their waste as an energy input in their process, after analyzing the sustainability trade-offs using this new framework.…”

Section: Managerial Insights Of the Framework Resultsmentioning

confidence: 99%

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

et al. 2022

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This paper introduces a methodological framework for assessing the sustainability of solid biofuels in Mexico. The designed framework comprises 13 normalized indicators and two diagnostic studies, covering the economic, social, environmental, and institutional sustainability dimensions, and their intersections. Indicators are normalized using the concept of load capacity of a system, similarly to the planetary boundaries. Thus, the graphical representation of results facilitates their multidimensional analysis. The framework was applied to three case studies: traditional fuelwood in rural households, charcoal for restaurant grilling, and electricity cogeneration from sugarcane bagasse. This was part of an iterative process of testing and refining the framework and simultaneously demonstrating its application in the Mexican bioenergy context. This led to the conclusion that the resulting framework (a) provides a useful, quantitative, and comprehensive overview of both broad and specific sustainability aspects of the assessed system; (b) requires a balance of accessible but also scattered or sensitive data, similarly to most existing frameworks; (c) is highly flexible and applicable to both modern and traditional solid biofuels; and (d) is simple to communicate and interpret for a wide audience. Key directions for improvement of the framework are also discussed.

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Section: Managerial Insights Of the Framework Resultsmentioning

confidence: 99%

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

et al. 2022

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“…Figure 4 shows the findings and future directions in the theoretical framework. Furthermore, a recent study conducted by AlArjani et al [145] built the framework for Saudi Arabia's sustainable development goals. It has made significant contributions to the body of knowledge by concentrating and spending greater resources on alternative energy sources such as solar, wind, biomass, and nuclear energy.…”

Section: Theoretical Framework and Future Directionsmentioning

confidence: 99%

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Manzoor

Othman

Durdyev

et al. 2021

ASI

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The widespread use of artificial intelligence (AI) in civil engineering has provided civil engineers with various benefits and opportunities, including a rich data collection, sustainable assessment, and productivity. The trend of construction is diverted toward sustainability with the aid of digital technologies. In this regard, this paper presents a systematic literature review (SLR) in order to explore the influence of AI in civil engineering toward sustainable development. In addition, SLR was carried out by using academic publications from Scopus (i.e., 3478 publications). Furthermore, screening is carried out, and eventually, 105 research publications in the field of AI were selected. Keywords were searched through Boolean operation “Artificial Intelligence” OR “Machine intelligence” OR “Machine Learning” OR “Computational intelligence” OR “Computer vision” OR “Expert systems” OR “Neural networks” AND “Civil Engineering” OR “Construction Engineering” OR “Sustainable Development” OR “Sustainability”. According to the findings, it was revealed that the trend of publications received its high intention of researchers in 2020, the most important contribution of publications on AI toward sustainability by the Automation in Construction, the United States has the major influence among all the other countries, the main features of civil engineering toward sustainability are interconnectivity, functionality, unpredictability, and individuality. This research adds to the body of knowledge in civil engineering by visualizing and comprehending trends and patterns, as well as defining major research goals, journals, and countries. In addition, a theoretical framework has been proposed in light of the results for prospective researchers and scholars.

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“…Goal programming with satisfaction function has been used to analyzed SDGs (Ali et al 2021). The concept of Fuzzy programming incorporating analytic hierarchy process in SDGs modeling and analysis has been recently studied AlArjani et al 2021). The concept of linear programming (LP) used to allocate resources that are competing and conflicting in nature (Muhammad et al 2015).…”

Section: Sustainable Goalsmentioning

confidence: 99%

Mathematical modeling of sustainable development goals of India agenda 2030: a Neutrosophic programming approach

Haq

Modibbo

Ahmed

et al. 2021

Environ Dev Sustain

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A new framework for the sustainable development goals of Saudi Arabia

Cited by 50 publications

References 23 publications

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

A Methodological Framework for Assessing the Sustainability of Solid Biofuels Systems

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Mathematical modeling of sustainable development goals of India agenda 2030: a Neutrosophic programming approach

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