【摘要】 互联网和通讯技术已成为大众旅游和智慧旅游新动能，渗透到旅游活动的各个环节。以百度指数为代表的数字轨迹数据，在挖掘旅游者行为规律方面独具优势。以四川省124处国家A级及以上旅游景区为例，收集其百度指数用户关注度数据，从统计分布、空间形态、网络结构三个角度展开分析。结果表明，（1）旅游景区关注度数值差异显著，呈“二八”分布；（2）网络关注度空间异质性明显，景区关注度与景区星级均形成了集聚性分布特征；（3）旅游景点关注度网络为典型的核心-边缘结构，且景区自身的星级与网络关注度等级表现出明显的空间异配特征。最后，以旅游景区自身星级和关注度等级为依据进行划分，识别出高星级低关注度、低星级高关注度等不同类型景点，分别给出对应的发展战略。更多还原

【Abstract】 The Internet and communication technology have become a new driving force for mass tourism and smart tourism and penetrated each part of tourism activities. The digital footprint data represented by the Baidu Index has unique advantages in mining the behavior patterns of tourists. This paper analyzed the statistical distribution, spatial morphology, and network structure of 124 A level and above level scenic spots in Sichuan based on the collected Baidu Index data about user attention. The results demonstrated that,(1) there is a significant difference in user attention between scenic spots, appearing a certain “two-eight”distribution feature;(2) the spatial heterogeneity of the network attention is obvious, and both the attention and the grade of scenic spots have exhibited distribution characteristic of spatial agglomeration;(3) the attention network of the scenic spotsbelongs to the typical core-periphery structure, and the scenic spots’ own grade and network attention show obvious spatial heterogeneity. In addition, the scenic spots are divided into different types by their grade and attention level,such as scenic spotshigh in gradeand low in attention and scenic spotslow in gradeand high in attention, and corresponding development strategies are given respectively.更多还原