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Comparative Utilization of Blockchain-Based Consensus Algorithms in Digital Economy for Achieving Elite Consensus in Strategic Urban Planning
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Abstract: (26 Views) |
This research investigates the fundamental differences in the consensus formation process between blockchain algorithms and expert consensus processes in strategic urban planning. While blockchain technology, as the origin platform, establishes consensus based on systematic data and its validation through value engineering, the urban planning expert consensus process involves a diverse range of environmental data across multiple urban dimensions. These data require integration and validation as an inherent part of the consensus process. The research aims to analyze the adaptation potential between these two domains, particularly in how blockchain-based consensus models, originally designed for digital economy applications, can be effectively aligned with expert decision-making in urban planning.
The primary objective of this study is to compare and assess the applicability of blockchain consensus algorithms in the domain of strategic urban planning, focusing on the methodological and thematic challenges involved in adapting systematic data-driven models to complex, environment-based data. The study particularly emphasizes the integration of these two areas, considering the intricate process of data validation and the convergence of expert opinions required in urban planning.The necessity for this research arises from the challenge that a lack of understanding regarding the adaptability of blockchain models to urban planning may hinder the efficacy and accuracy of decision-making processes in the realm of urban governance. This study aims to offer practical solutions for overcoming these challenges and improving consensus-building mechanisms in urban planning contexts.
In terms of methodology, the research initially identifies three structural equations representing the consensus process in both blockchain and expert urban planning models. Using De Morgan’s laws, logical and reductive combinations are proposed to minimize complexity, leading to the development of 20 distinct scenarios for refining decision-making accuracy. Ultimately, an adaptable structural equation model is proposed, incorporating an initial constraint coefficient (λ) and environmental adjustment factors (μ), which offer flexibility across various urban consensus-building contexts.The results of this study show that integrating these two models, with specific focus on the structural equations derived from De Morgan’s laws, enhances flexibility in consensus-building processes. The final adaptable model allows for greater precision and flexibility in diverse urban planning environments, promoting transparency and accuracy in urban decision-making processes |
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| Keywords: Elite Participation, Distributed Decision-Making, Consensus Process, Data-Driven Methods, Consensus Models. |
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Type of Study: Applicable |
Subject:
Special
Accepted: 2025/09/9 | Published: 2025/09/9
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