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

Author:

Yanli Song1,Hui Zhang2

Affiliation:

1. School of Arts and Media, Nanning Institute of Technology , Guilin , Guangxi , , China .

2. School of Art and Design , Guilin University of Electronic Science and Technology , Guilin , Guangxi , , China .

Abstract

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.

Publisher

Walter de Gruyter GmbH

Reference16 articles.

1. Feng, D. (2019). Characteristics and structure optimization of the rural landscape planning and design based on the network data mining. Basic & clinical pharmacology & toxicology.(S3), 124.

2. Bingran, Tian, Guangjin, Kong, Lingqiang, & Liu, et al. (2018). How china’s linked urban-rural construction land policy impacts rural landscape patterns: a simulation study in tianjin, china. Landscape Ecology.

3. Rossitti, M., Oppio, A., & Torrieri, F. (2021). The financial sustainability of cultural heritage reuse projects: an integrated approach for the historical rural landscape. Sustainability, 13.

4. Tan, B., & Liu, Z. (2021). Cloud resources-based water and soil pollution control in mountainous areas and rural tourism landscape design (retraction of vol 14, art no 1500, 2021). Arabian journal of geosciences(24), 14.

5. Arki, V., Koskinen, J., Fagerholm, N., Kisanga, D., & Kyhk, N. (2020). Associations between local land use/land cover and place-based landscape service patterns in rural tanzania. Ecosystem Services, 41.

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