吴晨光

教授

办公电话：020-84112645

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、旅游经济、智慧医疗管理

个人简介

吴晨光，博士，澳门新葡平台网址8883网站教授，博士生导师。主要从事大数据分析、旅游需求预测与决策、旅游经济、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SSCI一区(Q1)期刊发表多篇学术论文，包括三篇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 Hospitality and Tourism Research, Journal of Medical Internet Research, and International Journal of Forecasting. 

吴晨光博士担任国际预测协会(International Institute of Forecasters)旅游与酒店预测专委会主席(Section Chair), 国际预测学会理事会理事(board director), 中国信息经济学会智慧医疗与服务创新专委会秘书长，中国旅游研究国际联合会杰出青年学者。担任期刊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。

2019年作为客座编辑为SSCI一区期刊Tourism Economics组织编辑预测专刊 “Tourism forecasting – New trends and issues”。2021年作为客座编辑为SSCI一区期刊International Journal of Contemporary Hospitality Management组织编辑大数据分析专刊 “Big data analytics and forecasting in hospitality and tourism”。

 

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、旅游经济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    酒店与旅游澳门新葡平台网址8883网站
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                 澳门新葡平台网址8883网站，中国
2017.08-2018.08        访问学者           萨里大学酒店与旅游澳门新葡平台网址8883网站，英国
2014.06-2020.02        副教授              澳门新葡平台网址8883网站，中国
2010.09-2014.06        助理教授           澳门新葡平台网址8883网站，中国
2009.10-2010.09        高级研究助理    香港理工大学酒店与旅游澳门新葡平台网址8883网站，香港，中国
2008.01-2008.07        访问博士生        萨里大学澳门新葡平台网址8883网站，英国
2005.01-2006.08        研究助理           香港理工大学酒店与旅游澳门新葡平台网址8883网站，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：数据模型与决策、旅游管理前沿、定量研究方法

科研服务

  • 2020年至今，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), 创立主席(Section chair)
  • 2020年至今，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：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-）
  • 客座编辑(Guest editor)：Tourism Economics (SSCIQ1)预测专刊“Tourism Forecasting: New Trends and Issues. ”2019
  • 客座编辑(Guest editor)：International Journal of Contemporary Hospitality Management (SSCIQ1) 大数据专刊“Big data analytics and forecasting in hospitality and tourism.” 2021

 

研究成果

编著书籍

  1. 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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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.
  25. 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
  26. 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.
  27. 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.
  28. 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
  29. 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.
  30. 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.
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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

主持研究课题

  1. 国家自然科学基金面上项目：基于大数据和系统模型的粤港澳大湾区旅游区域协同发展研究，2024.1-2027.12，41万，主持
  2. 广东省文化和旅游厅统计项目：基于大数据挖掘的广东省游客满意度评价实证研究——以广州、江门为例，2022.09-2023.08，1万，主持
  3. 2020年广东省自然科学基金杰出青年项目:旅游需求概率区间的组合预测体系构建及实证研究，2019.10-2023.9，100万，主持
  4. 国家自然科学基金：三重视角下旅游需求影响机制及预测的理论构建与实证研究，2016.1-2019.12，57.6万，主持
  5. 国家自然科学青年基金：我国旅游产业的经济增长推动效应的非线性实证研究，2012.1-2014.12，19万，主持
  6. 高校基本科研业务费澳门新葡平台网址8883网站青年教师培育项目：中国游客对香港旅游需求的实证研究：基于非线性平滑转换模型的视角，2013.1-2015.12，8万，主持
  7. 中国博士后科学基金面上项目：旅游需求的经济增长效应研究：基于非线性模型的视角，2012.7-2013.12，5万，主持
  8. 广东省旅游局：广东省旅游卫星账户数据信息系统的建设与应用，2013-2014，198万，联合主持（刘静艳、吴晨光联合主持）
  9. 广东省旅游局：广东省旅游卫星账户数据信息系统的开发与建设，2013-2014，158万，联合主持（吴晨光、刘静艳联合主持）
  10. 广东省旅游局：广东省旅游卫星账户的构建及编制，2011-2012，220万，主持