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<p>The rapid expansion of tourism industry agglomeration (TIA) in tourist cities presents a critical challenge for sustainable development, often exacerbating pressures on land ecological security (LES). Understanding the spatiotemporal interplay between these two systems is essential yet underexplored. This study conducts a decadal analysis (2012–2022) across 50 major tourist cities in China. By innovatively integrating Points of Interest data to quantify TIA and employing a Driver-Pressure-State-Impact-Response model to assess LES, we analyze their coupling coordination degree and identify influencing factors using a geographical detector model. Our findings reveal that: (1) While both TIA and LES levels showed overall improvement, their spatial distribution exhibited a distinct “high in the east and low in the west” pattern. (2) The coordination between TIA and LES improved over the decade, yet most cities remained in a state of bare coordination or imbalance, with only a few eastern coastal cities reaching primary coordination. (3) Population density, freight volume per unit area, and urbanization level were the predominant factors driving the spatial differentiation of the coupling coordination. The interaction between any two factors exhibited a nonlinear enhancement effect, revealing complex underlying mechanisms. This study offers a transferable methodological framework for assessing regional sustainability and provides actionable evidence to inform spatial planning and ecological governance in tourism-dependent cities in China and similar contexts.</p>

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Dynamic correlation analysis of tourism industry agglomeration and land ecological security in tourist cities: Evidence from China

  • 期刊论文

  • 发表日期：

    2026年5月8日

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  • Zhen Su,
  • Wenhao Zhu,
  • Dianqu Tian,
  • Wenhui Wang,
  • Yinghong Zheng,
  • Shuchen Lai,
  • Biman Lei

摘要

The rapid expansion of tourism industry agglomeration (TIA) in tourist cities presents a critical challenge for sustainable development, often exacerbating pressures on land ecological security (LES). Understanding the spatiotemporal interplay between these two systems is essential yet underexplored. This study conducts a decadal analysis (2012–2022) across 50 major tourist cities in China. By innovatively integrating Points of Interest data to quantify TIA and employing a Driver-Pressure-State-Impact-Response model to assess LES, we analyze their coupling coordination degree and identify influencing factors using a geographical detector model. Our findings reveal that: (1) While both TIA and LES levels showed overall improvement, their spatial distribution exhibited a distinct “high in the east and low in the west” pattern. (2) The coordination between TIA and LES improved over the decade, yet most cities remained in a state of bare coordination or imbalance, with only a few eastern coastal cities reaching primary coordination. (3) Population density, freight volume per unit area, and urbanization level were the predominant factors driving the spatial differentiation of the coupling coordination. The interaction between any two factors exhibited a nonlinear enhancement effect, revealing complex underlying mechanisms. This study offers a transferable methodological framework for assessing regional sustainability and provides actionable evidence to inform spatial planning and ecological governance in tourism-dependent cities in China and similar contexts.