A Risk Assessment Framework for Critical Infrastructure Based on the Analytic Hierarchy Process

Fioravanti, Camilla; Guarino, Simone; Mazzà, Bianca; Nobili, Martina; Santucci, Francesca; Ansaldi, Silvia

doi:10.1016/j.ifacol.2023.01.085

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…To ensure the scienti city and accuracy of the evaluation of FA harmless disposal and resource utilization technology, a comprehensive grading of various indicators is required, with optimization of key test indicators during the veri cation and evaluation phase. The construction of the system adopts the analytic hierarchy process (AHP), a methodology that simpli es various factors in a complex problem into ordered hierarchies, effectively combining data, expert opinions, and the objective judgment of analysts (Fioravanti et al, 2022). Through the analysis of various indicators and the determination of the relative importance of each indicator, decision-makers can capture subjective and objective viewpoints on relevant issues based on multiple criteria and sub-criteria (Kumar and Pant, 2023).…”

Section: Determination Of Indicator Weightsmentioning

confidence: 99%

Fly Ash Harmless Disposal and Resource Utilization Technology Evaluation Method Research – a Case Study of an Innovative Fly Ash Treatment Technology

Pan,

Hu,

Liu

et al. 2024

Preprint

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The rapid urbanization in China has led to a significant increase in the generation of fly ash from municipal solid waste incineration. This has made the safe and harmless disposal of fly ash a major challenge for the waste-to-energy industry's sustainable development. The current environmental verification system lacks a complete quantitative system that integrates various evaluation indicators for solid waste resource recovery technology. Thus, there is an urgent need to expedite research on environmental technology verification (ETV) and establish an objective, fair, and scientific system for verifying and evaluating fly ash harmless disposal and resource utilization technology. In this study, an evaluation system was constructed consisting of 12 indexes from three aspects: technical characteristics, technical quality, and technical value, using the Analytic Hierarchy Process (AHP). The evaluation results were classified into three levels: recommended, suggested for improvement and optimization, and not recommended. Consequently, a comprehensive ETV system was developed. The case analysis confirmed the scientific validity and feasibility of the constructed verification system. It demonstrated that the developed verification evaluation method for the harmless disposal and resource utilization technology of fly ash can objectively and effectively evaluate the progress and applicability of the technology. Additionally, valuable suggestions for improving the technical performance were provided. Furthermore, this study provided a scientific and reliable evaluation system for fly ash harmless disposal and resource utilization technology, which is also adapted for solid waste treatment technology because of non-specific methods and concepts, and laid technical guidance for the government in studying and issuing related regulations.

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Section: Determination Of Indicator Weightsmentioning

confidence: 99%

Fly Ash Harmless Disposal and Resource Utilization Technology Evaluation Method Research – a Case Study of an Innovative Fly Ash Treatment Technology

Pan,

Hu,

Liu

et al. 2024

Preprint

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AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

et al. 2023

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Climate change is one of the most pressing global challenges we face today. The impacts of rising temperatures, sea levels, and extreme weather events are already being felt around the world and are only expected to worsen in the coming years. To mitigate and adapt to these impacts, we need innovative, data-driven solutions. Artificial intelligence (AI) has emerged as a promising tool for climate change adaptation, offering a range of capabilities that can help identify vulnerable areas, simulate future climate scenarios, and assess risks and opportunities for businesses and infrastructure. With the ability to analyze large volumes of data from climate models, satellite imagery, and other sources, AI can provide valuable insights that can inform decision-making and help us prepare for the impacts of climate change. However, the use of AI in climate change adaptation also raises important ethical considerations and potential biases that must be addressed. As we continue to develop and deploy these solutions, it is crucial to ensure that they are transparent, fair, and equitable. In this context, this article explores the latest innovations and future directions in AI-enabled climate change adaptation strategies, highlighting both the potential benefits and the ethical considerations that must be considered. By harnessing the power of AI for climate change adaptation, we can work towards a more resilient, sustainable, and equitable future for all.

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A Linear Probabilistic Resilience Model for Securing Critical Infrastructure in Industry 5.0

Abuhasel

2023

IEEE Access

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A Risk Assessment Framework for Critical Infrastructure Based on the Analytic Hierarchy Process

Cited by 3 publications

References 16 publications

Fly Ash Harmless Disposal and Resource Utilization Technology Evaluation Method Research – a Case Study of an Innovative Fly Ash Treatment Technology

Fly Ash Harmless Disposal and Resource Utilization Technology Evaluation Method Research – a Case Study of an Innovative Fly Ash Treatment Technology

AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

A Linear Probabilistic Resilience Model for Securing Critical Infrastructure in Industry 5.0

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