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Geodetector-Based Analysis of Spatiotemporal Distribution Characteristics and Influencing Mechanisms for Rural Homestays in Beijing

Author

Listed:
  • Yiyuan Hei

    (School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China
    These authors contributed equally to this manuscript.)

  • Yifei Sui

    (School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China
    These authors contributed equally to this manuscript.)

  • Wei Gao

    (School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China)

  • Mei Zhao

    (School of Design and Art, Beijing Institute of Technology, Beijing 100081, China)

  • Min Hu

    (Ministry of Housing and Urban-Rural Development, Beijing 100835, China)

  • Mengyuan Gao

    (China Academy of Building Research, Beijing 100013, China)

Abstract

Rural homestays have emerged as pivotal drivers of rural socioeconomic revitalization, particularly in metropolitan peripheries characterized by intensified urban–rural dynamics. However, their spatiotemporal distribution patterns and underlying mechanisms remain underexplored. This study employs Geodetector and related analytical methods to examine rural homestays in Beijing, aiming to decipher spatial heterogeneity and driving factors. The results reveal a distinct “large-scale dispersion with small-scale clustering” pattern marked by pronounced agglomeration in northern mountainous areas and sparse distributions in southern suburban regions. Temporally, the sector currently exhibits a notable expansion–contraction phase influenced by external factors, alongside spatial centroid migration toward resource-rich zones. Geodetector quantification identifies the proximity to transportation nodes and vegetation coverage as primary spatial determinants, while socioeconomic factors demonstrate comparatively limited influence—contrasting sharply with urban contexts. Rural homestay concentration zones are classified into high-, medium-, and low-intensity categories based on the homestay density, with high-intensity zones leveraging apex advantages of scenic resources, cultural heritage, and infrastructure. These findings underscore the interplay of natural environmental factors, tourism resources, transportation accessibility, and socioeconomic conditions in shaping agglomeration dynamics, providing actionable insights for optimizing spatial planning and promoting sustainable development in rural regions adjacent to megacities.

Suggested Citation

  • Yiyuan Hei & Yifei Sui & Wei Gao & Mei Zhao & Min Hu & Mengyuan Gao, 2025. "Geodetector-Based Analysis of Spatiotemporal Distribution Characteristics and Influencing Mechanisms for Rural Homestays in Beijing," Land, MDPI, vol. 14(5), pages 1-28, May.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:997-:d:1649395
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    References listed on IDEAS

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