Tao Jilei, Wei Hong, Wang Qinan, Jin Xiulong
School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China.
Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou, China.
PLoS One. 2025 Sep 3;20(9):e0331577. doi: 10.1371/journal.pone.0331577. eCollection 2025.
Tourist attractions, as core components of tourism product supply, play a crucial role in regional tourism development. Investigating the spatial relationship between the supply and demand of tourist attractions contributes to optimizing the spatial structure of regional tourism and promoting high-quality, balanced, and coordinated growth of the tourism industry. Taking high-grade tourist attractions in Anhui Province as the research object, this paper first analyzes the characteristics of accessibility using the time cost distance method and the standard deviational ellipse. Subsequently, it constructs a set of tourism demand indicators and employs the coupling coordination model and Markov chain method to evaluate the spatial coupling coordination between accessibility of tourist attractions and tourism demand. The results show a significant improvement in accessibility of tourist attractions from 2015 to 2024, with average travel time to tourist attractions at the county level decreasing from 65 to 41 minutes, and the proportion of areas reachable within 60 minutes rising from 62.5% to 92.3%. However, spatial disparities persist, particularly exhibiting persistent low accessibility in mountainous and peripheral areas. The coupling coordination levels between the accessibility of tourist attractions and tourism demand remained generally stable, with most counties classified into the moderate and high coordination categories. Spatial Markov analysis indicates that neighboring regions exert strong spatial spillover effects, influencing both the direction and magnitude of coordination level transitions. Notably, leap-level transitions were rare, while adjacent-level shifts dominated the dynamics. These findings underscore the importance of spatial context and infrastructure in shaping the interaction between tourism supply and demand. This study provides empirical evidence to support spatially differentiated planning and transportation investment strategies aimed at promoting balanced tourism development.
旅游景点作为旅游产品供给的核心组成部分,在区域旅游发展中发挥着关键作用。研究旅游景点供需的空间关系有助于优化区域旅游空间结构,促进旅游业高质量、均衡、协调发展。本文以安徽省高等级旅游景点为研究对象,首先运用时间成本距离法和标准差椭圆分析可达性特征。随后,构建了一套旅游需求指标,并采用耦合协调模型和马尔可夫链方法评估旅游景点可达性与旅游需求之间的空间耦合协调性。结果表明,2015年至2024年旅游景点可达性显著提升,县级旅游景点平均出行时间从65分钟降至41分钟,60分钟内可到达区域的比例从62.5%升至92.3%。然而,空间差异依然存在,特别是山区和周边地区的可达性持续较低。旅游景点可达性与旅游需求之间的耦合协调水平总体保持稳定,大多数县属于中度和高度协调类别。空间马尔可夫分析表明,相邻地区具有较强的空间溢出效应,影响协调水平转变的方向和幅度。值得注意的是,越级转变很少见,相邻级别的转变主导了动态变化。这些发现强调了空间背景和基础设施在塑造旅游供需互动中的重要性。本研究为支持旨在促进旅游均衡发展的空间差异化规划和交通投资策略提供了实证依据。