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Do Historic Landscape Images Predict Tourists’ Spatio-Temporal Behavior at Heritage Sites? A Case Study of West Lake in Hangzhou, China

Author

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  • Qiqi Liu

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

  • Xiaolan Tang

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
    NFU Academy of Chinese Ecological Progress and Forestry Studies, Nanjing Forestry University, Nanjing 210037, China)

  • Ka Li

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

Abstract

Rich in history and culture, heritage sites often evoke stirring emotions and memories. We analyzed historical poetry using grounded theory and high-frequency word and semantic analysis to construct historic landscape images (HLIs) of the West Lake UNESCO World Heritage Site in Hangzhou, China. GPS trajectory data were used to identify hot and cold tourist spots and understand the site’s intra-attraction tourist behaviors (IATBs). Finally, we analyzed the HLI–IATB relationship. We found that the tourist distribution was uneven, and different attractions had different visitor behaviors. Our findings should inform future heritage site management—and neighboring cities—about the benefits of using HLIs to predict attraction visitors’ behaviors and leveraging those insights to optimize multiple-attraction sites proportionally. Such projections can provide new perspectives for heritage studies, landscape planning, and tourism image-making.

Suggested Citation

  • Qiqi Liu & Xiaolan Tang & Ka Li, 2022. "Do Historic Landscape Images Predict Tourists’ Spatio-Temporal Behavior at Heritage Sites? A Case Study of West Lake in Hangzhou, China," Land, MDPI, vol. 11(10), pages 1-20, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1643-:d:923651
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    References listed on IDEAS

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