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旅游导刊 ›› 2021, Vol. 5 ›› Issue (4): 1-15.DOI: 10.12054/lydk.bisu.179

• •    下一篇

我国旅游大数据的产业实践:现状、问题及未来

邓宁1,2(),曲玉洁1   

  1. 1.北京第二外国语学院旅游科学学院 北京 100024
    2.北京第二外国语学院数字文旅研究中心 北京 100024
  • 收稿日期:2020-11-13 修回日期:2021-04-30 出版日期:2021-08-30 发布日期:2021-08-27
  • 作者简介:邓 宁(1983— ),男,湖南湘乡人,博士,北京第二外国语学院旅游科学学院副教授,研究方向:旅游数字营销、旅游大数据、旅游信息化。E-mail: dengning@bisu.edu.cn。|曲玉洁(1998— ),女,河南灵宝人,北京第二外国语学院旅游科学学院硕士研究生,研究方向:旅游目的地营销。
  • 基金资助:
    国家社科基金重大项目“完善文化和旅游融合发展体制机制研究”(20ZDA067)

Application of Big Data in China’s Tourism Industry: Current Situation, Problems, and Future

DENG Ning1,2(),QU Yujie1

  1. 1. School of Tourism Sciences, Beijing International Studies University, Beijing 100024, China
    2. Research Center on Digital Culture & Tourism, Beijing International Studies University, Beijing 100024, China
  • Received:2020-11-13 Revised:2021-04-30 Online:2021-08-30 Published:2021-08-27

摘要:

本文以旅游大数据在中国的现状、问题及未来为切入点,从其发展历程、市场主体与建设模式、构成、产品与服务形态4个方面剖析了旅游大数据的产业格局形成过程;分析了顶层规划缺失、运营模式不清、学界业界互动不够、政企数据共享困难、人才培养缺位五大制约行业发展的问题;在此基础上从文旅融合的角度展望了旅游大数据产业发展的未来方向。本文首次从产业发展视角对旅游大数据在中国的实践进行了系统的理论探讨和模式建议。

关键词: 旅游大数据; 大数据应用; 数字治理; 数据共享; 旅游管理

Abstract:

Starting with the current situation, problems, and future of tourism big data in China, this article explores the development of big data for China’s tourism industry from four aspects: the history of its development, market entities and construction models, data composition of tourism big data, and forms of products and services. It further analyzes the five leading issues that hinder the development of using big data in tourism: a lack of top-level planning, unclear operation modes, difficulties in data sharing between the government and tourism enterprises, insufficient interaction between academics and tourism enterprises, and inadequate talent training. Based on these factors and from the perspective of integrated culture and tourism, this study explores the future development of big data in tourism. For the first time, this article systematically and theoretically investigates the use of big data for China’s tourism and proposes suggestions for feasible models from the perspective of its development.

Keywords: tourism big data; big data application; digital governance; data sharing; tourism management

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