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Liyao Huang (Assistant Professor)


 

Office：  4F, Building N

Tel.：      8590-2532

E-mail：  lyhuang@cityu.edu.mo                                                               

                                                                               

Academic Qualification:  

DBA, Xiamen University

       

Working Experience                                                                             

From 2024/8 to Present                    City University of Macau, Faculty of International Tourism and Management, ,

                                                            Assistant Professor

                                                                                                                         

Teaching Area                                                                               

Hotel Conference Management

Management of Leisure and Entertainment Tourism

                                                                                                                                                    

Research Area                                                                               

Demand Modeling and Forecasting

Tourism Mobility

Tourism Consumer Behavior Research

Data Mining and Analytics

 

Professional Society Membership

Journal  Reviewer:

Current Issues in Tourism (SSCI)

Tourism Review (SSCI)

Tourism Management Perspectives (SSCI)

                

Academic Publication

Journal Paper

1. Tourism/hotel demand modeling and forecasting

  • Liyao Huang, Weimin Zheng*, Suiwen (Sharon) Zou, Ming-Hsiang Chen. Interpretable machine learning for hotel demand prediction: A case study framework from Xiamen, China. Tourism Economics 2025, 31(8): 1726-1748. (SSCI, JCR Q1)
  • Jiaying Chen, Cheng Li, Liyao Huang*, Weimin Zheng. Tourism demand forecasting: a deep learning model based on spatial-temporal transformer. Tourism Review.2025,80(3):648-663. (Corresponding author, ABS 1星, 中科院Q2, IF:7.3)
  • Liyao Huang, Weimin Zheng*, Zuohua Deng. Tourism demand forecasting: An interpretable deep learning model. Tourism Analysis. 2024,29(4):465-479. (JCR Q3, ABS 2)
  • Liyao Huang, Mengling Li, Weimin Zheng*, Shengnan Gao. Exploring the evolutionary patterns of urban tourist mobility within a day: A three-step analysis framework. International Journal of Tourism Research. 2024, 26(4):1-16. (SSCI, JCR Q1)
  • Liyao Huang, Cheng Li, Weimin Zheng*. Daily hotel demand forecasting with spatiotemporal features. International Journal of Contemporary Hospitality Management. 2023, 35: 26-45. (ABS 3星, 中科院Q1, IF:9.1)
  • Liyao Huang, Weimin Zheng*. Hotel demand forecasting: A comprehensive literature review. Tourism Review. 2023, 78: 218-244. (ABS 1星, 中科院Q2, IF:7.3)
  • Weimin Zheng, Liyao Huang*, Zhibin Lin. Multi-attraction, hourly tourism demand forecasting. Annals of Tourism Research. 2021, 90, 103271. (Corresponding author, ABS四星, 中科院Q1, IF:10.4)
  • Liyao Huang, Weimin Zheng*. Novel deep learning approach for forecasting daily hotel demand with agglomeration effect. International Journal of Hospitality Management. 2021, 98, 103038. (ABS 3星, 中科院Q1, IF:9.9)

 

2. Tourist behavior research

  • Lingling Wen, Liyao Huang*. Whispers of automation: Exploring the influence of service robots on food waste. International Journal of Hospitality Management. 2026,133,104484. (Corresponding author, ABS 3星, 中科院Q1, IF:9.9)
  • Boyu Lin, Liyao Huang*, Chuanzhou Wang.Virtual tourism destination ambassadors enhancing social media engagement: Technology mindfulness perspectives. Journal of Vacation Marketing 2025,1-18. (Corresponding author, SSCI, JCR Q1)