Landscape Architecture, Volume. 42, Issue 8, 51(2025)

Analysis of the Spatial Distribution of Tourist Attractions in Kaiyuan City Based on POI Data and the Characteristics of the Yunnan-Vietnam Railway

WU Weilin and CHE Zhenyu*
Author Affiliations
  • Faculty of Architecture and City Planning, Kunming University of Science and Technology, Kunming, Yunnan, China, 650500
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    References(4)

    [12] [12] [12]THAIPISUTIKUL T, CHEN Y-N. An Improved Deep Sequential Model for Context-aware POI Recommendation[J]. Multimedia Tools and Applications, 2024, 83(01): 1643-1668.

    [13] [13] [13]YI K, YAMAGISHI R, LI J Y, et al. User-experience Oriented POI Recommendation with Pseudo Rating[J]. Multimedia Tools and Applications, 2025,84(16): 16583-16603.

    [14] [14] [14]LEE H J, KANG Y, NOH S, et al. Exploring Lifestyle Patterns from GPS Trajectory Data: Embedding Spatio-temporal Context Information via Geohash and POI[J]. Spatial Information Research, 2024,32(06): 801-813.

    [15] [15] [15]RAJABI F, HOSSEINALI F, RABIEI-DASTJERDI H. An Examination and Analysis of the Clustering of Healthcare Centers and Their Spatial Accessibility in Tehran Metropolis: Insights from Google POI Data[J].Sustainable Cities and Society, 2024, 117: 105845.

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    WU Weilin, CHE Zhenyu. Analysis of the Spatial Distribution of Tourist Attractions in Kaiyuan City Based on POI Data and the Characteristics of the Yunnan-Vietnam Railway[J]. Landscape Architecture, 2025, 42(8): 51

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    Paper Information

    Received: Oct. 17, 2024

    Accepted: Aug. 25, 2025

    Published Online: Aug. 25, 2025

    The Author Email: CHE Zhenyu (598869375@qq.com)

    DOI:10.12193/j.laing.2025.08.0051.006

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