Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

May 3, 2024


Pages


DOI

Article

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

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Authors

Song Yanli Affiliation:
School of Arts and Media, Nanning Institute of Technology, Guilin, Guangxi, 541000, China.
and Zhang Hui Affiliation:
School of Art and Design, Guilin University of Electronic Science and Technology, Guilin, Guangxi, 541004, China.


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.


Keywords

Topological data analysis method, Particle swarm algorithm, Rural landscape planning, Factor analysis, Scenic route selection, Rural revitalization, 93C62


Citation

Yanli, S. & Hui, Z. (2024). Research on digital rural landscape garden landscape planning under rural revitalization strategy based on topological data analysis method. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1045

Published by: Engineering Journals

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