Hengyun Li

TL;DR: In this article, the authors examined the role of tourism development in reducing regional income inequality in China and proposed a spatiotemporal autoregressive model to capture spatial and temporal dependence as well as spatial heterogeneity.

TL;DR: Findings of this empirical study indicate that tourism demand forecasting based on internet big data from a search engine and online review platforms can significantly improve forecasting performance.

TL;DR: In this paper, the authors investigated the effects of online peer reviews on consumers' timing of booking a restaurant using a merged data set of online reviews and consumer reservation records and found that rating valence, rating variation, and review content richness positively motivate potential consumers to book a restaurant earlier, while the time interval between successive reviews hinders consumers' booking decision.

TL;DR: In this article, a new model that links climate and seasonal tourism demand is developed to study the effects of home climate, destination climate, and climate difference between destinations and source markets on seasonal tourist demand.

TL;DR: In this paper, a relative climate index based on the push and pull theory is proposed to assess the effects of relative climate variability on seasonal tourism demand, and the results indicate that the intra-annual relative climate positively influences tourism demand in Mainland regions where the climate is significantly different from that of Hong Kong.