游客平均驻留时长查询

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。

Targeting tourism management authorities, a big data computing middle platform is constructed by integrating open internet tourism-related data, smart city tourism-related data, and urban tourism grid data from external ecological sources, which enables the aggregation and governance of multi-source, heterogeneous, and disparate tourism-related data. Moreover, via artificial intelligence algorithms, one-point perception of the operation status of all-for-one tourism can be achieved based on grid features, temporal features, tourist characteristics, behavioral features and regulation indicators.

搜集汇总

背景与挑战

背景概述

该数据集提供游客平均驻留时长的查询服务，由中国电信股份有限公司上海分公司开发，面向旅游管理单位。它整合了互联网开放涉旅数据、智慧城市涉旅数据等多源异构数据，通过大数据计算中台和人工智能算法，实现全域旅游运行状态的实时感知和分析，以支持旅游管理和决策。