<p>Morphology, the study of shapes or forms, when applied to tourism, emphasizes the multifarious spatial practices between morphological elements and tourism activities. However, existing literature on morphology in the context of tourism usually only focuses on a single or a limited number of study areas, overlooking common or even universal patterns across various tourism destinations. To address this gap, we utilize geospatial big data and present a case study on the morphology of 406 “AAAAA”-rated scenic areas in China. A framework based on “points”, “lines”, “planes”, and “solids” was designed to systematically organize and analyze morphological elements across scenic areas. The findings provide valuable insights for tourism planning and development, such as the co-occurrence of dense road networks and fragmented landscapes within scenic areas, as well as the resource-context-influenced (cultural or natural) associations between morphological features and tourism indicators. This research provides valuable strategic guidance for more effective and informed tourism development while acknowledging the trade-offs between generalizability and local specificity.</p>

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The morphology across tourism destinations: A case study in China

  • Yunhao Zheng,
  • Zheyi Liu,
  • Yi Zhang,
  • Teemu Makkonen,
  • Yanxiao Jiang,
  • Kaifeng Jiang,
  • Yu Liu

摘要

Morphology, the study of shapes or forms, when applied to tourism, emphasizes the multifarious spatial practices between morphological elements and tourism activities. However, existing literature on morphology in the context of tourism usually only focuses on a single or a limited number of study areas, overlooking common or even universal patterns across various tourism destinations. To address this gap, we utilize geospatial big data and present a case study on the morphology of 406 “AAAAA”-rated scenic areas in China. A framework based on “points”, “lines”, “planes”, and “solids” was designed to systematically organize and analyze morphological elements across scenic areas. The findings provide valuable insights for tourism planning and development, such as the co-occurrence of dense road networks and fragmented landscapes within scenic areas, as well as the resource-context-influenced (cultural or natural) associations between morphological features and tourism indicators. This research provides valuable strategic guidance for more effective and informed tourism development while acknowledging the trade-offs between generalizability and local specificity.