A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting
This study reviews 211 key papers published between 1968 and 2018, for a better
understanding of how the methods of tourism demand forecasting have evolved over time …
understanding of how the methods of tourism demand forecasting have evolved over time …
Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
New developments in tourism and hotel demand modeling and forecasting
Purpose The purpose of this paper is to review recent studies published from 2007 to 2015
on tourism and hotel demand modeling and forecasting with a view to identifying the …
on tourism and hotel demand modeling and forecasting with a view to identifying the …
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 …
to 2017. Forecasting models are reviewed in three categories: econometric, time series and …
Tourism demand forecasting: A decomposed deep learning approach
Tourism planners rely on accurate demand forecasting. However, despite numerous
advancements, crucial methodological issues remain unaddressed. This study aims to …
advancements, crucial methodological issues remain unaddressed. This study aims to …
Hierarchical pattern recognition for tourism demand forecasting
This study proposes a hierarchical pattern recognition method for tourism demand
forecasting. The hierarchy consists of three tiers: the first tier recognizes the calendar pattern …
forecasting. The hierarchy consists of three tiers: the first tier recognizes the calendar pattern …
A review of demand forecasting models and methodological developments within tourism and passenger transportation industry
Purpose The purpose of this paper is to review the current literature in the field of tourism
demand forecasting. Design/methodology/approach Published papers in the high quality …
demand forecasting. Design/methodology/approach Published papers in the high quality …
Predicting slope stability failure through machine learning paradigms
In this study, we employed various machine learning-based techniques in predicting factor
of safety against slope failures. Different regression methods namely, multi-layer perceptron …
of safety against slope failures. Different regression methods namely, multi-layer perceptron …
Tourism demand forecasting using novel hybrid system
Accurate prediction of tourism demand is a crucial issue for the tourism and service industry
because it can efficiently provide basic information for subsequent tourism planning and …
because it can efficiently provide basic information for subsequent tourism planning and …
Stream water temperature prediction based on Gaussian process regression
R Grbić, D Kurtagić, D Slišković - Expert systems with applications, 2013 - Elsevier
The prediction of stream water temperature presents an interesting topic since the water
temperature has a significant ecological and economical role, such as in species …
temperature has a significant ecological and economical role, such as in species …