Research on Tourism Public Crisis Countermeasures Based on Big Data

被引:0
|
作者
Feng, Li [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing, Peoples R China
关键词
big data; tourism public crisis; information platform; cooperative alliance; countermeasure;
D O I
10.1109/itaic.2019.8785500
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
this paper classifies the public crisis of tourism. Through research, it analyzes the problems of public tourism based on big data. In view of the above problems, a big data-based tourism public crisis information processing platform is established to improve information sharing and information processing capabilities, improve the efficiency of emergency response, and reduce losses. Based on quantitative research methods, a tourism cooperation based on supply chain assistance theory is established. Alliance assistance analysis improves the ability to respond to public crises and reduce the overall loss of tourism supply chain. The research puts forward the tourism support security strategy based on big data. The paper provides experience and reference for business operators and managers.
引用
收藏
页码:1273 / 1279
页数:7
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