College of Tourism and Leisure Management, Fujian Business University, Fuzhou, Fujian, China.
Anxi College of Tea Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
PLoS One. 2024 Apr 4;19(4):e0298078. doi: 10.1371/journal.pone.0298078. eCollection 2024.
The construction of tourist towns is an important aspect of new-type urbanization construction. In this study, 155 tourist towns in Fujian Province were selected as samples to analyze spatiotemporal differentiation using the geographical concentration index, nearest neighbor index, and local correlation index. Then, a geographic detector model was used to detect the factors that influence the spatiotemporal differentiation of tourist towns and to analyze the explanatory power and interaction of these detection factors. Finally, the mechanisms underlying the detection factors were discussed. Factors affecting the spatiotemporal differentiation of tourist towns in Fujian Province were core factors of traffic network, level of urbanization and population distribution; important factors of industrial structure and socioeconomic basis; and a fundamental factor of policy guidance. These six factors interacted to jointly affect the spatiotemporal differentiation of tourist towns in Fujian Province. The results of this study can provide a basis for the development of tourist towns in other similar regions and have reference value for better optimizing the pattern of urban and town systems and coordinating the synergistic development of urban and rural areas.
旅游小镇的建设是新型城镇化建设的重要方面。本研究选取福建省 155 个旅游小镇作为样本，运用地理集中指数、最邻近距离指数和局部自相关指数分析其时空分异特征，利用地理探测器模型探测影响旅游小镇时空分异的因子，并对各探测因子的解释力和交互作用进行分析，最后探讨探测因子的作用机制。福建省旅游小镇时空分异的影响因子是交通网络核心因子、城镇化水平与人口分布重要因子、产业结构与社会经济基础重要因子以及政策引导基础因子，这六个因子相互作用共同影响福建省旅游小镇的时空分异。本研究结果可为其他类似地区旅游小镇的发展提供依据，对更好地优化城镇体系格局、协调城乡协同发展具有参考价值。
