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Research on Quantitative Analysis Methods for the Spatial Characteristics of Traditional Villages Based on Three-Dimensional Point Cloud Data: A Case Study of Liukeng Village, Jiangxi, China

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  • Zhe Li

    (Key Lab of Information Technology for Architectural Cultural Inheritance, (Ministry of Cultural and Tourism), Tianjin 300072, China
    School of Architecture, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China)

  • Tianlian Wang

    (Key Lab of Information Technology for Architectural Cultural Inheritance, (Ministry of Cultural and Tourism), Tianjin 300072, China
    School of Architecture, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China)

  • Su Sun

    (Key Lab of Information Technology for Architectural Cultural Inheritance, (Ministry of Cultural and Tourism), Tianjin 300072, China
    School of Architecture, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China)

Abstract

Traditional villages are important carriers of cultural heritage, and the quantitative study of their spatial characteristics is an important approach to their preservation. However, the rapid extraction, statistics, and estimation of the rich spatial characteristic indicators in these villages have become bottlenecks in traditional village research. This paper employs UAV (unmanned aerial vehicle) and handheld laser scanners to acquire three-dimensional point cloud data and construct a spatial feature three-dimensional calculation workflow of “field data collection—data processing—data analysis and application”, which enables the rapid acquisition, processing, and analysis of three-dimensional village data. Typical case studies are conducted in Liukeng Village, China, focusing on the quantification of village spatial characteristics at three levels: topography, streets and alleys, and individual buildings, as well as comparative studies of multiple villages across different regions. The quantification of three-dimensional data reveals the regularity of village spatial characteristics and uncovers the spatial wisdom embedded in the site selection and spatial structure of traditional villages. This paper establishes a complete technical route for the quantitative analysis of villages, deepens public understanding of the diverse value of traditional villages, and provides technical support for research and practice in related fields.

Suggested Citation

  • Zhe Li & Tianlian Wang & Su Sun, 2024. "Research on Quantitative Analysis Methods for the Spatial Characteristics of Traditional Villages Based on Three-Dimensional Point Cloud Data: A Case Study of Liukeng Village, Jiangxi, China," Land, MDPI, vol. 13(8), pages 1-26, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1261-:d:1453918
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    References listed on IDEAS

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    1. Chunyang Zhang & Junjie Chen, 2023. "Spatial Morphology Optimization of Rural Planning Based on Space of Flow: An Empirical Study of Zepan Village in China," Land, MDPI, vol. 12(4), pages 1-23, April.
    2. Song, Wei & Li, Huanhuan, 2020. "Spatial pattern evolution of rural settlements from 1961 to 2030 in Tongzhou District, China," Land Use Policy, Elsevier, vol. 99(C).
    3. Gao, Jing & Wu, Bihu, 2017. "Revitalizing traditional villages through rural tourism: A case study of Yuanjia Village, Shaanxi Province, China," Tourism Management, Elsevier, vol. 63(C), pages 223-233.
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    Cited by:

    1. Jiaxuan Wang & Yixi Gu & Xinyi Su & Li Ran & Kaili Zhang, 2025. "Spatial Analysis of Urban Historic Landscapes Based on Semiautomatic Point Cloud Classification with RandLA-Net Model—Taking the Ancient City of Fangzhou in Huangling County as an Example," Land, MDPI, vol. 14(6), pages 1-32, May.

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