吴晨光 | 中山大学管理学院

吴晨光

教授

办公电话：18666080105

电子邮箱：wucheng@mail.sysu.edu.cn

研究领域：大数据分析、旅游需求预测与决策、旅游影响评估、智慧医疗管理

个人简介

吴晨光，博士，中山大学管理学院教授，博士生导师，院长助理，MBA中心主任，旅游与健康管理教研室主任。东北财经大学统计学院获得学士及硕士学位，香港理工大学酒店与旅游管理学院获得博士学位。2017-2018年以青年骨干教师访问学者身份在英国萨里大学旅游与酒店管理学院进行学术访问。

吴晨光博士主要从事大数据分析、旅游需求预测与决策、旅游影响评估、智慧医疗管理等方向的研究。获得2020年广东省自然科学基金杰出青年项目，主持三项国家自然科学基金项目，多项省部级研究课题。其在旅游管理与医疗管理权威期刊发表学术论文四十余篇，包括多篇ESI高被引论文，这些期刊包括Tourism Management, Annals of Tourism Research, Journal of Travel Research, International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management， Journal of Medical Internet Research，and International Journal of Forecasting等。

吴晨光博士担任国际预测协会(International Institute of Forecasters)旅游与酒店预测创立主任(Founding Chair), 国际预测学会理事会理事(board director, 2022-2024), 中国信息经济学会常务理事及数智文旅专委会秘书长。中国旅游研究国际联合会（International Association for China Tourism Studies， IACTS）首届杰出青年学者，并在2025年被选为中国旅游研究国际联合会会士。担任期刊Annals of Tourism Research, Journal of Travel Research, Tourism Economics, Asia Pacific Journal of Tourism Research，Journal of China Tourism Research, Journal of Hospitality and Tourism Insights, 旅游论坛等编委。

作为骨干成员参与工商管理一流平台上创新旅游人才培养创新获得国家级教学成果二等奖；旅游与健康管理教研室获得广东省本科高校课程教研室建设立项；建设新文科交叉课程“旅游大数据预测与决策“获得2024年中山大学一流本科课程；人工智能背景下管理学院旅游与健康管理脸谱课程建设与创新实践获得2025年中山大学教学质量与教学改革工程立项。作为主编完成旅游需求预测英文教材。培养本科及研究生学生获得多项学术会议的优秀论文奖；获得中国旅游教育合作联盟年度会议优秀指导教师奖。

招生与合作方向

欢迎硕士研究生、博士研究生、博士后。欢迎对大数据分析、旅游需求预测与决策、旅游影响评估、智慧医疗管理感兴趣的同学们联系报考。
（联系方式：wucheng@mail.sysu.edu.cn）

教育背景

2010年博士       香港理工大学   酒店与旅游管理学院
2005年    硕士       东北财经大学   统计学院
2002年    学士       东北财经大学   统计学院

学术经历

2020.02-至今教授          中山大学管理学院，中国
2017.08-2018.08       访问学者        萨里大学酒店与旅游管理学院，英国
2014.06-2020.02       副教授         中山大学管理学院，中国
2010.09-2014.06       助理教授        中山大学管理学院，中国
2009.10-2010.09       高级研究助理    香港理工大学酒店与旅游管理学院，香港，中国
2008.01-2008.07       访问博士生   萨里大学管理学院，英国
2005.01-2006.08       研究助理          香港理工大学酒店与旅游管理学院，香港，中国

教授课程

本科：商务统计、市场分析方法、大数据旅游预测与决策、旅游创新与领导力、计量经济学
硕士/博士研究生/MBA/EMBA：智慧医疗管理与创新、数据模型与决策、旅游管理前沿、定量研究方法

科研服务

2025年至今，中国旅游研究国际联合会(International Association For China Tourism Studies, IACTS)会士
2025年至今，中国信息经济学会常务理事
2025年至今，中国信息经济学会智慧文旅专委会秘书长
2020-2025年，中国信息经济学会智慧医疗与服务创新专委会秘书长
2020，国际预测学会(International Institute of Forecasters) 旅游与酒店预测专委会(Tourism and Hospitality Section, THS) 创立主任(Founding Section chair)
2020-2024年，国际预测学会(International Institute of Forecasters) 理事会理事(Board director)
2020年至今，中国旅游研究国际联合会(International Association For China Tourism Studies, IACTS)杰出青年学者(Outstanding Young Scholar, OYS)
编委：Annals of Tourism Research (2022-), Journal of Travel Research(2018-), Tourism Economics (2018-), Asia Pacific Journal of Tourism Research(2021-), Journal of China Tourism Research(2021-), Journal of Hospitality and Tourism Insights（2021-）,旅游论坛
客座编辑(Guest editor)：Tourism Economics (SSCI Q1)预测专刊“Tourism Forecasting: New Trends and Issues. ”2019
客座编辑(Guest editor)：International Journal of Contemporary Hospitality Management (SSCI Q1) 大数据专刊“Big data analytics and forecasting in hospitality and tourism.” 2021

研究成果

编著书籍

Wu, D. C., Li, G., & Song, H. (2023). (Eds.) Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications. London, UK: Routledge.

期刊论文

Hu, M., Zhao, X., Ren, J., & Wu*, D. C. (2025). A novel big data-based multicollinearity-eliminating feature extraction method for tourism demand forecasting. Tourism Economics.
http://doi.org/10.1177/135481662513649982
Hu, M., Liang, W., Qiu, R. T. R., & Wu*, D. C. (2025). Tourism demand forecasting using compound pattern recognition. TourismManagement, 109, 105138.
https://doi.org/10.1016/j.tourman.2025.1051383
Li, W., Wang, T.,& Wu*, D. C. (2025). User motivation and sustained participation in walking donation as a virtual corporate social responsibility co-creation project. Humanities &Social Sciences Communications, 12, 784.
https://doi.org/10.1057/s41599-025-05106-14
Wu, D. C., Li, W., Wu*, J., Hu, M., & Shen, S. (2025). How well can ChatGPT forecast tourism demand? Tourism Management, 108, 105119.
https://doi.org/10.1016/j.tourman.2024.1051195
Wu, J., Song, Y., & Wu*, D. C. (2024). Does ChatGPT show gender bias in behavior detection? Humanities& Social Sciences Communications. 11, 1706.
https://doi.org/10.1057/s41599-024-04219-3
Wu, D. C., Zhong, S., Song, H., & Wu*, J. (2024). Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting. International Journal of Hospitality Management. 120, 103750.
https://doi.org/10.1016/j.ijhm.2024.103750
Wu, D. C., Cao, C., Wu, J., & Hu*, M. (2024) Wine tourism experiences of Chinese tourists: A tourist-centric perspective. International Journal of Contemporary Hospitality Management.
https://doi.org/10.1108/IJCHM-07-2023-1003
Wu, D. C., Zhong, S. T., Wu*, J., & Song, H. (2024) Tourism and hospitality forecasting with big data: A systematic review of the literature. Journal of Hospitality & Tourism Research 1–20
http://doi.org/10.1177/10963480231223151
Hu, M., Yang, H., Wu*, D. C., & Ma, S. (2024). A novel two-stage combination model for tourism demand forecasting. Tourism Economics 0 0:0
https://doi.org/10.1177/13548166241237845
Zhang*, X., Cheng, M., & Wu, D. C. (2024). Daily tourism demand forecasting and tourists’ search behavior analysis: A deep learning approach. International Journal of Machine Learning and Cybernetics.
https://doi.org/10.1007/s13042-024-02157-9
Wu, D. C., Zhao, X., & Wu*, J. (2023). Online physician-patient interaction and patient satisfaction: Empirical study of the internet hospital service. Journal of Medical Internet Research. 25
https://doi.org/10.2196/39089
Liu, H., Yang, P., Song, H., & Wu*, D. C. (2023). Global and domestic economic policy uncertainties and tourism stock market: Evidence from China. Tourism Economics
https://doi.org/10.1177/13548166231173171
宋海岩，吴晨光*. (2022). 新一轮科技革命与旅游需求分析和预测创新：理论探讨与实践前沿[J]. 旅游学刊，37(10),1-3
https://doi.org/10.19765/j.cnki.1002-5006.2022.10.001
Wu, D. C., Cao, C., Liu, W., & Chen*, J. L. (2022). Impact of domestic tourism on economy under COVID-19: The perspective of tourism satellite accounts. Annals of Tourism Research Empirical Insights, 3(2), 100055.
https://doi.org/10.1016/j.annale.2022.100055
Wu, D. C., Zhong, S., Qiu, R. T. R., & Wu*, J. (2022). Are customer reviews just reviews? Hotel forecasting using sentiment analysis. Tourism Economics, 28(3), 795-816.
https://doi.org/10.1177/13548166211049865
Song, H. & Wu*, D. C. (2022). A critique of tourism-led economic growth studies. Journal of Travel Research, 61(4), 719-729.
https://doi.org/10.1177/00472875211018514
吴晨光.(2021).基于大数据的旅游预测与决策[J]. 旅游论坛, 14(3):19-22.
https://doi.org/10.15962/j.cnki.tourismforum.202103020
Wu, D. C., Wu*, J., & Song, H. (2021). Guest editorial: Big data analytics and forecasting in hospitality and tourism. International Journal of Contemporary Hospitality Management, 33(6), 1917-1921.
https://doi.org/10.1108/IJCHM-06-2021-035
Qiu*, R.T.R., Wu*, D. C., Dropsy, V., Sylvain, P., Pratt, S., & Ohe, Y. (2021). Visitor arrival forecast amid Covid-19: A perspective from the Asia and Pacific team. Annals of Tourism Research, 88, 103155.
https://doi.org/10.1016/j.annals.2021.103155
Hu, M., Qiu, R. T. R., Wu*, D. C., & Song, H. (2021). Hierarchical pattern recognition for tourism demand forecasting. Tourism Management, 84, 104263.
https://doi.org/10.1016/j.tourman.2020.104263
Wu, D. C., Cao, Z., Wen, L., &Song, H. (2021). Scenario forecasting for global tourism. Journal of Hospitality and Tourism Research, 45(1), 28-51. https://doi.org/10.1177/1096348020919990
Liu, A., & Wu*, D. C. (2019). Tourism productivity and economic growth. Annals of Tourism Research, 76, 253-265.
https://doi.org/10.1016/j.annals.2019.04.005
Li, G., Wu*, D. C., Zhou, M., & Liu, A. (2019). The combination of interval forecasts in tourism. Annals of Tourism Research, 75, 363-378.
https://doi.org/10.1016/j.annals.2019.01.010
Li, G. &Wu*, D. C. (2019). Introduction to the special focus: Tourism forecasting – New trends and issue, Tourism Economics, 25(3), 305-308.
https://doi.org/10.1177/1354816618816809
Chen, J. L., Li, G., Wu*, D. C., & Shen, S. (2019). Forecasting seasonal tourism demand using a multiseries structural time series method, Journal of Travel Research, 58(1), 92-103.
https://doi.org/10.1177/0047287517737191
Wu, D. C., Liu, J., Song, H., Liu, A., & Fu, H. (2019). Developing a Web-based regional tourism satellite account (TSA) information system, Tourism Economics, 25(1), 67-84.
https://doi.org/10.1177/1354816618792446
Wu, D. C., Fu, H., & Kang, M. (2018). Why volunteer teaching tourism? Empirical evidence from China, Asia Pacific Journal of Tourism Research, 23(2):109-120.
https://doi.org/10.1080/10941665.2017.1410191
Wu, D. C., Song, H., & Shen, S. (2017). New developments in tourism and hotel demand modeling and forecasting, International Journal of Contemporary Hospitality Management, 29(1), 507-529.
https://doi.org/10.1108/IJCHM-05-2015-0249
吴晨光，刘静艳. 旅游卫星账户的时空观——基于广东省旅游卫星账户数据信息系统建设的研究和再思考[J]. 旅游学刊, 2016, 31(3): 6-7.
Fu, H., Wu*, D. C., Huang, S.S., Song, H., Gong, J. (2015). Monetary or nonmonetary compensation for service failure? A study of customer preferences under various loci of causality. International Journal of Hospitality Management. 46, 55-64.
https://doi.org/10.1016/j.ijhm.2015.01.006
傅慧,吴晨光,段艳红. “货币补偿”总是最优策略吗？——高星级酒店不同服务失误归因下的情境研究[J]. 旅游学刊, 2014, 29(1): 101-110.
颜麒,吴晨光,叶浩彬. (2013) 离岛免税政策对海南省旅游需求影响效应实证研究[J]. 旅游学刊, 2013, 28(10): 47-51.
Li, G., Song, H., Cao Z., & Wu*, D. C. (2013). How competitive is Hong Kong against its competitors? An econometric study. Tourism Management. 36(1), 247-256.
https://doi.org/10.1016/j.tourman.2012.11.019
Li, G., Song, H., Chen, J., & Wu, D. C. (2012). Comparing mainland Chinese tourists’ satisfaction with Hong Kong and the UK using tourist satisfaction index. Journal of China Tourism Research, 8(4), 373-394.
Pan, B., Wu*, D. C., & Song, H. (2012). Forecasting hotel room demand using search engine data. Journal of Hospitality and Tourism Technology, 3(3), 196-210.
Wu, D. C., Li, G., & Song, H. (2012). Economic analysis of tourism consumption dynamics: A time-varying parameter demand system approach. Annals of Tourism Research, 39(2), 667-685.
https://doi.org/10.1016/j.annals.2011.09.003
Page, S. J., Song, H., &Wu*, D. C. (2012). Assessing the impacts of the economic crisis and swine flu on inbound tourism demand in the UK. Journal of Travel Research, 51(2), 142-153.
https://doi.org/10.1177/0047287511400754
Wu, D. C., Li, G., & Song, H. (2011). Analysing tourism consumption: A dynamic system of equations approach. Journal of Travel Research, 50(1), 46-56.
https://doi.org/10.1177/0047287509355326
Athanasopoulos, G., Hyndman, R. J., Song, H., &Wu, D. C. (2011).The tourism forecasting competition. International Journal of Forecasting. 27(3), 822–844.
https://doi.org/10.1016/j.ijforecast.2010.04.009
Song, H., Witt, S. F., Wong, K. K. F., &Wu, D. C. (2009). An empirical study of tourism demand forecast combination. Journal of Hospitality and Tourism Research, 33, 3-29.
https://doi.org/10.1177/1096348008321366
Wong, K. K. F., Song, H., Witt, S. F., &Wu, D. C. (2007). Tourism forecasting: To combine or not to combine? Tourism Management, 28, 1068-1078.
https://doi.org/10.1016/j.tourman.2006.08.003