<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>A comprehensive and systematic view and solution to the protection and renewal of traditional villages can help actively promote and implement the strategy of rural revitalization. This paper constructs a village protection and renewal evaluation system based on the maximum information entropy model, utilizes the entropy weight method to build the index weight evaluation matrix, and introduces the confidence factor to correct the index weights, realizing the combination of the system. Then, based on the linear weighting method to carry out a comprehensive assessment of village protection and renewal development, and based on the assessment results to formulate a personalized village protection and renewal strategy, and the feasibility analysis of the strategy with the village of T city. The results show that village protection and renewal in T city villages generally indicate an upward trend from 2016 to 2023, and the comprehensive evaluation index reached a peak of 0.3227 in 2023. In the case study, the linear regression equations fitted to the scattering points of the uptown residential area villages and the entire T city villages’ axes intersect with a difference in slopes of 14.5123. The angle of the regression line continues to increase in comparison with 2016, indicating that the role of traditional village protection planning is significant. Village protection planning plays an important role in verifying the effectiveness of the formulated village protection and renewal strategy, which can promote the development of village regional characteristics for the good.</p>
</abstract>

A comprehensive and systematic view and solution to the protection and renewal of traditional villages can help actively promote and implement the strategy of rural revitalization. This paper constructs a village protection and renewal evaluation system based on the maximum information entropy model, utilizes the entropy weight method to build the index weight evaluation matrix, and introduces the confidence factor to correct the index weights, realizing the combination of the system. Then, based on the linear weighting method to carry out a comprehensive assessment of village protection and renewal development, and based on the assessment results to formulate a personalized village protection and renewal strategy, and the feasibility analysis of the strategy with the village of T city. The results show that village protection and renewal in T city villages generally indicate an upward trend from 2016 to 2023, and the comprehensive evaluation index reached a peak of 0.3227 in 2023. In the case study, the linear regression equations fitted to the scattering points of the uptown residential area villages and the entire T city villages’ axes intersect with a difference in slopes of 14.5123. The angle of the regression line continues to increase in comparison with 2016, indicating that the role of traditional village protection planning is significant. Village protection planning plays an important role in verifying the effectiveness of the formulated village protection and renewal strategy, which can promote the development of village regional characteristics for the good.

Exploring the Path of Village Protection and Renewal Strategy Based on the Maximum Information Entropy Model in the Context of Rural Revitalisation

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

A comprehensive and systematic view and solution to the protection and renewal of traditional villages can help actively promote and implement the strategy of...

Exploring the Path of Village Protection and Renewal Strategy Based on the Maximum Information Entropy Model in the Context of Rural Revitalisation

Publicado en línea: 07 jun 2024

Páginas: -

Recibido: 28 feb 2024

Aceptado: 08 may 2024

DOI: https://doi.org/10.2478/amns-2024-1427

Palabras clave
Maximum information entropy, Village protection and renewal, Evaluation system, Confidence factor, Spatial clustering

© 2024 Yufeng Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the Path of Village Protection and Renewal Strategy Based on the Maximum Information Entropy Model in the Context of Rural Revitalisation

Publicado en línea: 07 jun 2024

Páginas: -

Recibido: 28 feb 2024

Aceptado: 08 may 2024

DOI: https://doi.org/10.2478/amns-2024-1427

Palabras claveMaximum information entropy, Village protection and renewal, Evaluation system, Confidence factor, Spatial clustering

© 2024 Yufeng Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Maximum information entropy, Village protection and renewal, Evaluation system, Confidence factor, Spatial clustering