Please wait a minute...

微信公众号

编辑部微信号

旅游导刊  2021, Vol. 5 Issue (4): 1-15    DOI: 10.12054/lydk.bisu.179
    
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.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
Application of Big Data in China’s Tourism Industry: Current Situation, Problems, and Future
DENG Ning1,2(),QU Yujie1
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
 全文: PDF(9532 KB)   HTML
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.

Key words: tourism big data    big data application    digital governance    data sharing    tourism management
收稿日期: 2020-11-13 出版日期: 2021-08-27
PACS:  F59  
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)
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。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
邓宁
曲玉洁

引用本文:

邓宁,曲玉洁. 我国旅游大数据的产业实践:现状、问题及未来[J]. 旅游导刊, 2021, 5(4): 1-15.

DENG Ning,QU Yujie. Application of Big Data in China’s Tourism Industry: Current Situation, Problems, and Future. Tourism and Hospitality Prospects, 2021, 5(4): 1-15.

链接本文:

https://lydk.bisu.edu.cn/CN/10.12054/lydk.bisu.179        https://lydk.bisu.edu.cn/CN/Y2021/V5/I4/1

图 1  旅游大数据产业总体概况
[1] Alamäki A, Pesonen J, Dirin A. Triggering effects of mobile video marketing in nature tourism:Media richness perspective[J]. Information Processing & Management, 2019, 56(3):756~770.
doi: 10.1016/j.ipm.2019.01.003
[2] Deng N, Li X. Feeling a destination through the “right” photos:A machine learning model for DMOs’ photo selection[J]. Tourism Management, 2018(65):267~278.
[3] Espinet J M. Big data in online travel agencies and its application through electronic devices[M]//Sigala M,Rahimi R,Thelwall M. Big Data and Innovation in Tourism,Travel,and Hospitality:Managerial Approaches,Techniques,and Applications. Singapore:Springer, 2019:31.
[4] Kaosiri Y N, Fiol L J, Tena M Á M, et al. User-generated content sources in social media:A new approach to explore tourist satisfaction[J]. Journal of Travel Research, 2019, 58(2):253~265.
doi: 10.1177/0047287517746014
[5] Kim D H, Spiller L, Hettche M. Analyzing media types and content orientations in Facebook for global brands[J]. Journal of Research in Interactive Marketing, 2015, 9(1):4~30.
doi: 10.1108/JRIM-05-2014-0023
[6] Kim S, Lee W S. Network text analysis of medical tourism in newspapers using text mining:The South Korea case[J]. Tourism Management Perspectives, 2019(31):332~339.
[7] Mohammed I, Guillet B D, Law R. Last-minute hotel-booking and frequency of dynamic price adjustments of hotel rooms in a cosmopolitan tourism city[J]. Journal of Hospitality and Tourism Management, 2019(41):12~18.
[8] Wu F R, Zhang Q X, Law R, et al. Fluctuations in Hong Kong hotel industry room rates under the 2019 novel coronavirus(COVID-19) outbreak:Evidence from big data on OTA channels[J]. Sustainability, 2020, 12(18):7709.
doi: 10.3390/su12187709
[9] Xue L, Zhang Y. The effect of distance on tourist behavior:A study based on social media data[J]. Annals of Tourism Research, 2020(82):102916.
[10] Ye Q, Law R, Gu B. The impact of online user reviews on hotel room sales[J]. International Journal of Hospitality Management, 2009, 28(1):180~182.
doi: 10.1016/j.ijhm.2008.06.011
[11] 保继刚, 王亚娟, 汤勇刚, 等. 大数据视角下的游客人数统计问题研究[J]. 旅游论坛, 2020, 13(1):1~12.
[11] [BAO Jigang, WANG Yajuan, TANG Yonggang, et al. Research on the statistical problem of visitor number from the big data perspective[J]. Tourism Forum, 2020, 13(1):1~12.]
[12] 戴斌. 文旅融合时代:大数据、商业化与美好生活[J]. 人民论坛·学术前沿, 2019(11):6~15.
[12] [DAI Bin. The age of integration of culture and tourism:Big data,Commercialization and Better Life[J]. Frontiers, 2019(11):6~15.]
[13] 邓宁, 刘耀芳, 牛宇, 等. 不同来源地旅游者对北京目的地形象感知差异——基于深度学习的Flickr图片分析[J]. 资源科学, 2019, 41(3):416~429.
[13] [DENG Ning, LIU Yaofang, NIU Yu, et al. Different perceptions of Beijing’s destination images from tourists:An analysis of Flickr photos based on deep learning method[J]. Resources Science, 2019, 41(3):416~429.]
[14] 邓宁, 钟栎娜, 李宏. 基于UGC图片元数据的目的地形象感知——以北京为例[J]. 旅游学刊, 2018, 33(1):53~62.
[14] [DENG Ning, ZHONG Lina, LI Hong. Perception of travel destination image based on user-generated photograph metadata:The case of Beijing[J]. Tourism Tribune, 2018, 33(1):53~62.]
[15] 邓维. 移动互联网对智慧旅游的影响分析[D]. 成都:电子科技大学, 2014.
[15] [DENG Wei. Analysis of the promotive effects of mobile internet on intelligent tourism[D]. Chengdu:University of Electronic Science and Technology of China, 2014.]
[16] 邓贤峰, 李霞. “智慧景区”评价标准体系研究[J]. 电子政务, 2012(9):100~106.
[16] [DENG Xianfeng, LI Xia. Study on evaluation standard system of “smart scenic spot”[J]. E-Government, 2012(9):100~106.]
[17] 冯咏. 自媒体时代旅游景区微信营销模式研究[D]. 泉州:华侨大学, 2015.
[17] [FENG Yong. Research on wechat marketing model of tourism areas in we media era[D]. Quanzhou:Huaqiao University, 2015.]
[18] 郭华. 运营商大数据在旅游行业应用探索研究[J]. 移动通信, 2016, 40(5):27~31.
[18] [GUO Hua. Exploration and research on operators’ big data application in the tourism industry[J]. Mobile Communications, 2016, 40(5):27~31.]
[19] 戢晓峰, 戈艺澄, 陈方. 基于公路交通流大数据的节假日旅游流时空分异特征——以云南省2017年7个节假日为例[J]. 旅游学刊, 2019, 34(6):37~47.
[19] [JI Xiaofeng, GE Yicheng, CHEN Fang. Spatial and temporal differentiation characteristics of holiday tourism flow based on highway traffic flow big data:A case study of 7 holidays in 2017 in Yunnan province[J]. Tourism Tribune, 2019, 34(6):37~47.]
[20] 金卫东. 智慧旅游与旅游公共服务体系建设[J]. 旅游学刊, 2012, 27(2):5~6.
[20] [JIN Weidong. Smart tourism and the construction of tourism public service system[J]. Tourism Tribune, 2012, 27(2):5~6.]
[21] 李恒, 全华. 基于大数据平台的旅游虚拟产业集群研究[J]. 经济管理, 2018, 40(12):21~38.
[21] [LI Heng, QUAN Hua. Research on tourism virtual industry cluster based on big data platform[J]. Business Management Journal, 2018, 40(12):21~38.]
[22] 李佳琴, 蔡姗. 基于数据可视化技术的国内旅游数据分析[J]. 才智, 2019(5):226,228.
[22] [LI Jiaqin, CAI Shan. Domestic tourism data analysis based on data visualization technology[J]. Ability and Wisdom, 2019(5):226,228.]
[23] 李玲. 运营商大数据在旅游行业应用的现状及思考[J]. 旅游学刊, 2017, 32(9):9~11.
[23] [LI Ling. The status quo and thinking of operators’ big data application in tourism industry[J]. Tourism Tribune, 2017, 32(9):9~11.]
[24] 厉新建, 张凌云, 崔莉. 全域旅游:建设世界一流旅游目的地的理念创新——以北京为例[J]. 人文地理, 2013, 28(3):130~134.
[24] [LI Xinjian, ZHANG Lingyun, CUI Li. Comprehensive tourism:Idea innovation on building a world-class tourism destination[J]. Human Geography, 2013, 28(3):130~134.]
[25] 刘萌玥, 陈效萱, 吴建伟, 等. 旅游景区网络舆情指标体系构建——基于蚂蜂窝网全国百家5A级景区的游客评论[J]. 资源开发与市场, 2017, 33(1):80~84.
[25] [LIU Mengyue, CHEN Xiaoxuan, WU Jianwei, et al. Research on construction of index system of tourist attraction network public opinion:Based on tourists’ reviews over 100 5A scenic spots on Mafengwo[J]. Resource Development & Market, 2017, 33(1):80~84.]
[26] 刘思敏. 电子合同是规范旅游业发展的有效举措[J]. 中国旅游报, 2017-07-21(003).
[26] [WU Jianwei. E-Contract:An effective measure to regulate the development of tourism industry[J]. China Tourism News, 2017-07-21(003).]
[27] 吕勤, 于卫国. 消费大数据在旅游数据分析中的创新及应用[J]. 数字技术与应用, 2019, 37(5):87~89.
[27] [LV Qin, YU Weiguo. Innovation and application of consumption big data in tourism data analysis[J]. Digital Technology & Application, 2019, 37(5):87~89.]
[28] 马晓龙, 保继刚. 基于数据包络分析的中国主要城市旅游效率评价[J]. 资源科学, 2010, 32(1):88~97.
[28] [MA Xiaolong, BAO Jigang. An evaluation on the efficiency of Chinese primary tourism cites based on the data envelopment analysis[J]. Resources Science, 2010, 32(1):88~97.]
[29] 唐晓云. 用大数据把握旅游管理部门宏观调控的主动权[J]. 旅游学刊, 2014, 29(10):9~11.
[29] [TANG Xiaoyun. Using big data to grasp the initiative of macro control of tourism management department[J]. Tourism Tribune, 2014, 29(10):9~11.]
[30] 万子玮. 旅游景区发展智慧旅游的策略研究——以连云港市花果山景区为例[J]. 中国市场, 2016(25):244~245.
[30] [WAN Ziwei. Research on the strategy of developing smart tourism in scenic spots:A case study of Huaguo mountain scenic spot in Lianyungang City[J]. China Market, 2016(25):244~245.]
[31] 王九位. 数字时代旅游目的地信息共享研究[D]. 武汉:武汉大学, 2010.
[31] [WANG Jiuwei. Research on information sharing of tourism destination in digital era[D]. Wuhan:Wuhan University, 2010.]
[32] 王平平. 智慧旅游云平台需求及总体架构研究[J]. 电信科学, 2014, 30(11):61~65.
[32] [WANG Pingping. Research on wisdom tourism demand and architecture of cloud platform[J]. Telecommunications Science, 2014, 30(11):61~65.]
[33] 汪永旗, 王惠娇. 旅游大数据的MapReduce客户细分应用[J]. 华侨大学学报(自然科学版), 2015, 36(3):292~296.
[33] [WANG Yongqi, WANG Huijiao. Application of tourist segmentation based on MapReduce under big data of tourism[J]. Journal of Huaqiao University(Natural Science), 2015, 36(3):292~296.]
[34] 王中军, 晁艳锋. 浅议大数据背景下个人信息保护[J]. 信息系统工程, 2020(8):94~95.
[34] [WANG Zhongjun, CHAO Yanfeng. Personal information protection under the background of big data[J]. China CIO News, 2020(8):94~95.]
[35] 姚国章. “智慧旅游”的建设框架探析[J]. 南京邮电大学学报(社会科学版), 2012, 14(2):13~16,73.
[35] [YAO Guozhang. A study on the construction framework of intelligent tourism[J]. Journal of Nanjing University of Posts and Telecommunications(Social Science), 2012, 14(2):13~16,73.]
[36] 袁刚, 温圣军, 赵晶晶, 等. 政务数据资源整合共享:需求、困境与关键进路[J]. 电子政务, 2020(10):109~116.
[36] [YUAN Gang, WEN Shengjun, ZHAO Jingjing, et al. Integration and sharing of government data resources:Demand,dilemma and key approaches[J]. E-Government, 2020(10):109~116.]
[37] 张斌儒, 黄先开, 刘树林. 基于网络搜索数据的旅游收入预测——以海南省为例[J]. 经济问题探索, 2015(8):154~160.
[37] [ZHANG Binru, HUANG Xiankai, LIU Shulin. Tourism income forecast based on web search data:Taking Hainan province as an example[J]. Inquiry into Economic Issues, 2015(8):154~160.]
[38] 张坤, 李春林, 张津沂. 基于图片大数据的入境游客感知和行为演变研究——以北京市为例[J]. 旅游学刊, 2020, 35(8):61~70.
[38] [ZHANG Kun, LI Chunlin, ZHANG Jinyi. A study on the spatio-temporal evolution of inbound tourists’ perceptions and behaviors based on big pictorial data:The case of Beijing[J]. Tourism Tribune, 2020, 35(8):61~70.]
[39] 张凌云, 黎巎, 刘敏. 智慧旅游的基本概念与理论体系[J]. 旅游学刊, 2012, 27(5):66~73.
[39] [ZHANG Lingyun, LI Nao, LIU Min. On the basic concept of smarter tourism and its theoretical system[J]. Tourism Tribune, 2012, 27(5):66~73.]
[40] 张天问, 吴明远. 基于扎根理论的旅游幸福感构成——以互联网旅游博客文本为例[J]. 旅游学刊, 2014, 29(10):51~60.
[40] [ZHANG Tianwen, WU Mingyuan. The constitution of tourism well-being based on a grounded theory analysis of internet travel blogs[J]. Tourism Tribune, 2014, 29(10):51~60.]
[41] 朱建. “上云用数赋智”行动助力中国企业数字化转型[J]. 计算机与网络, 2020, 46(9):74.
[41] [ZHU Jian. The action of “using data to endow wisdom in the cloud” helps Chinese enterprises to transform into digital enterprises[J]. Computer & Network, 2020, 46(9):74.]