省域典型旅游集散地综合可达性协调发展及空间关系研究——以新疆为例
收稿日期: 2024-03-25
修回日期: 2024-04-10
网络出版日期: 2025-03-14
基金资助
国家社会科学基金青年项目(21CTY008)
Coordinated development of comprehensive accessibility of provincial typical tourism distribution centers and their spatial relationship: A case of Xinjiang
Received date: 2024-03-25
Revised date: 2024-04-10
Online published: 2025-03-14
农家乐和景区作为典型旅游集散地，两者在可达层面良好协调发展对旅游高质量发展具有重要意义。选取新疆典型旅游集散地为案例区，利用可达性模型、熵权-TOPSIS法、耦合协调模型、地理集中度指数和局部莫兰指数分析2022年新疆农家乐和景区可达水平、耦合协调阶段以及空间分布特征。结果表明：（1） 新疆景区可达性优于农家乐，可达性低值区域主要分布于南疆，在和田地区、喀什地区和克孜勒苏柯尔克孜自治州相连呈带状分布。（2） 从耦合协调度来看，耦合协调度低值区分布于新疆外围。总体而言，农家乐和景区综合可达性耦合协调水平较高，并呈现“四周低、中心高”态势。（3） 从集聚状态来看，农家乐和景区综合可达水平耦合协调度呈现集聚分布。从局部相关来看，高-高集聚类型集中在以首府乌鲁木齐市为中心的“环乌圈”城市群；低-低集聚类型分布在南疆靠近边境处，高-高和低-低集聚类型相距较远，集聚分布整体上呈现“双正相关”格局，且表现出“极化”效应。研究结果丰富了新疆旅游集散地协调发展内容，有助于新疆旅游产业实现高质量发展。
李梦园 , 庞家朋 , 李欢 . 省域典型旅游集散地综合可达性协调发展及空间关系研究——以新疆为例[J]. 干旱区地理, 2025 , 48(3) : 539 -548 . DOI: 10.12118/j.issn.1000-6060.2024.195
Agritainments and scenic areas are critical tourism distribution centers, and their coordinated accessibility is vital for high-quality tourism development. This study examines typical tourism distribution centers in Xinjiang, China, using the accessibility model, the entropy weight-TOPSIS approach, coupling coordination model, the geographic concentration index, and local Moran’s I. It evaluates the accessibility level, the coupling coordination degree, and spatial distribution characteristics of agritainments and scenic areas in Xinjiang in 2022. The results indicated that: (1) Scenic areas had superior accessibility compared to agritainments. Regions with low accessibility values were primarily concentrated in southern Xinjiang, forming clusters in Hotan Prefecture, Kashi Prefecture, and Kizilsu Kirgiz Autonomous Prefecture, exhibiting a zonal distribution pattern. (2) The coupling coordination degree of accessibility was lower in peripheral regions of Xinjiang. Overall, the coupling coordination level of comprehensive accessibility for agritainments and scenic areas was high, following a “low periphery and high center” trend. (3) In terms of spatial aggregation, the coupling coordination degree showed a clustered distribution. High-high aggregation areas were centered around Urumqi City and its urban agglomeration, while low-low aggregation areas were concentrated in southern Xinjiang and near territorial boundaries, highlighting a “polarization” effect with a “double-positive correlation” pattern. This study enriches the understanding of coordinated development in tourism distribution centers and provides a foundation for achieving high-quality tourism development in Xinjiang.
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