游客平均出游距离查询

面向旅游管理单位，结合外部生态来源的互联网开放涉旅数据、智慧城市涉旅数据、城市涉旅网格数据构建大数据计算中台，实现多源、异构、异质涉旅数据的汇入及治理；通过人工智能算法，基于网格特征、时序特征、游客特征、行为特征及调控指标实现全域旅游运行状态的一点感知。帮助旅游管理单位，进行游客平均出游距离查询。

Targeting tourism management authorities, this dataset constructs a big data computing central platform by integrating three types of tourism-related data sourced from external ecological systems: internet open tourism data, smart city tourism data, and urban tourism grid data, to realize the ingestion and governance of multi-source, heterogeneous, and disparate tourism-related data. Through artificial intelligence algorithms, it enables one-point perception of the all-for-one tourism operation status based on grid features, temporal features, tourist features, behavioral features, and regulatory indicators, and assists tourism management authorities in querying the average travel distance of tourists.