Environmental Design Revitalization Model of Ancient Villages Based on Cultural Landscape Regeneration

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Y. F. Zhou
Y. K. Yan

Abstract

Ancient village cultural landscapes face a structural disconnect between traditional construction wisdom and contemporary living needs, urgently requiring a shift from passive landscape preservation to proactive environmental design revitalization. This paper adopts a technical framework that couples spatial syntax, landscape ecology, and multi-agent simulation, proposes a three-stage activation path, constructs a digital twin model, and diagnoses spatial topological defects by calculating the integration degree and selectivity of the axis diagram. It employs a gravity model to assess the connectivity and vulnerability of cultural patches, and utilizes ENVI-met microclimate simulation and social force model behavioral flow simulation to achieve multi-objective Pareto optimization of thermal environment and spatial vitality. In empirical cases, spatial network optimization increased the average global integration degree of core nodes from 0.922 to 1.213 and the local integration degree from 0.986 to 1.3685. The fusion degree of 978 components extracted from the skeleton and encoded using shape context clustering increased by an average of 34.18% under the activation mode, and the utilization efficiency of intangible cultural heritage space display increased by an average of 42.34%. The research shows that the activation mode coupling digital gene encoding and behavioral simulation can effectively repair spatial fractures in ancient villages and activate the cultural regeneration potential of daily living spaces, providing a generalizable methodological path for the protection of similar heritage.

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How to Cite
Zhou, Y. F., & Yan, Y. K. (2026). Environmental Design Revitalization Model of Ancient Villages Based on Cultural Landscape Regeneration. Advanced Electromagnetics, 15(3), 10926–10933. https://doi.org/10.7716/aem.v15i3.4302
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Research Articles

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