Ms Xiaoying (Eden) Jiao
About
Xiaoying (Eden) Jiao is a PhD student in the School of Hospitality and Tourism Management at the University of Surrey, Guildford, United Kingdom. Before joining the University of Surrey, she received her bachelor degree in mathematical science with a concentration on operation research and statistics in 2017 at Carnegie Mellon University, Pittsburgh, United States. Her main research interests include tourism demand forecasting and applications of time series and econometric models.
My qualifications
2017
Bsc in Mathematical Science with a concentration in Operations Research and Statistics
Carnegie Mellon University
ResearchResearch interests
- Modeling and forecasting of tourism demand
- Spatial spillover in tourism forecasting
- Econometrics and time series methodological developments
Research interests
- Modeling and forecasting of tourism demand
- Spatial spillover in tourism forecasting
- Econometrics and time series methodological developments
Publications
Eden Xiaoying Jiao, Jason Li Chen (2018) Tourism forecasting: A review of methodological developments over the last decade
This study reviewed 72 studies in tourism demand forecasting during the period from 2008 to 2017. Forecasting models are reviewed in three categories: econometric, time series and artificial intelligence (AI) models. Econometric and time series models that have already been widely used before 2007 remained their popularity and were more often used as benchmark models for forecasting performance evaluation and comparison with respect to new models. AI models are rapidly developed in the past decade and hybrid AI models are becoming a new trend. And some new trends with regard to the three categories of models have been identified, including mixed frequency, spatial regression and combination and hybrid models. Different combination components and combination techniques have been discussed. Results in different studies proved superiority of combination forecasts over average single forecasts performance.