Spatial-temporal forecasting of tourism demand
Sign Up to like & getrecommendations! Published in 2019 at "Annals of Tourism Research"
DOI: 10.1016/j.annals.2018.12.024
Abstract: Abstract This study conducts spatial-temporal forecasting to predict inbound tourism demand in 29 Chinese provincial regions. Eight models are estimated among a-spatial models (autoregressive integrated moving average [ARIMA] model and unobserved component model [UCM]) and… read more here.
Keywords: forecasting tourism; tourism demand; temporal forecasting; spatial temporal ... See more keywords
Forecasting tourism with targeted predictors in a data-rich environment
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DOI: 10.1016/j.econmod.2020.03.030
Abstract: Abstract Along with the deepening of globalization and economic integration, economic agents face the challenge on how to extract useful information from large panels of data for forecasting purposes. Herein, we lay out a modelling… read more here.
Keywords: tourism; rich environment; data rich; forecasting tourism ... See more keywords
Weekly Hotel Occupancy Forecasting of a Tourism Destination
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DOI: 10.3390/su10124351
Abstract: The accurate forecasting of tourism demand is complicated by the dynamic tourism marketplace and its intricate causal relationships with economic factors. In order to enhance forecasting accuracy, we present a modified ensemble empirical mode decomposition… read more here.
Keywords: tourism; hotel occupancy; weekly hotel; forecasting tourism ... See more keywords