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

<p>The advancement of rural revitalization strategies underscores the increasing significance of landscape garden construction. This study optimizes scenic road routing within rural garden planning to support these strategies. By refining the topological data analysis method with Particle Swarm Optimization (PSO), we develop a model for rural scenic road routing. The model utilizes selected suitability indexes, organized through factor analysis into four categories: scenic, land, industrial resources, and infrastructure. Applied to a case study (Route Z), the model identifies Route 2 as the most suitable option, scoring 2.933. Our findings offer innovative insights and technical approaches for effectively planning rural scenic roads, contributing to countryside revitalization efforts.</p>
</abstract>

The advancement of rural revitalization strategies underscores the increasing significance of landscape garden construction. This study optimizes scenic road routing within rural garden planning to support these strategies. By refining the topological data analysis method with Particle Swarm Optimization (PSO), we develop a model for rural scenic road routing. The model utilizes selected suitability indexes, organized through factor analysis into four categories: scenic, land, industrial resources, and infrastructure. Applied to a case study (Route Z), the model identifies Route 2 as the most suitable option, scoring 2.933. Our findings offer innovative insights and technical approaches for effectively planning rural scenic roads, contributing to countryside revitalization efforts.

Research on digital rural landscape garden landscape planning under rural revitalization strategy based on topological data analysis method

Guilin University of Electronic Science and Technology

Applied Mathematics and Nonlinear Sciences

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

The advancement of rural revitalization strategies underscores the increasing significance of landscape garden construction. This study optimizes scenic road...

Research on digital rural landscape garden landscape planning under rural revitalization strategy based on topological data analysis method

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 06 avr. 2024

Accepté: 18 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1045

Mots clés
Topological data analysis method, Particle swarm algorithm, Rural landscape planning, Factor analysis, Scenic route selection, Rural revitalization

© 2024 Song Yanli et al., published by Sciendo

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

Research on digital rural landscape garden landscape planning under rural revitalization strategy based on topological data analysis method

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 06 avr. 2024

Accepté: 18 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1045

Mots clésTopological data analysis method, Particle swarm algorithm, Rural landscape planning, Factor analysis, Scenic route selection, Rural revitalization

© 2024 Song Yanli et al., published by Sciendo

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

Mots clés
Topological data analysis method, Particle swarm algorithm, Rural landscape planning, Factor analysis, Scenic route selection, Rural revitalization