New developments in tourism and hotel demand modeling and forecasting

DC Wu, H Song, S Shen - International Journal of Contemporary …, 2017 - emerald.com
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 …

Tourism forecasting: A review of methodological developments over the last decade

EX Jiao, JL Chen - Tourism Economics, 2019 - journals.sagepub.com
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 …

A meta-analysis of international tourism demand forecasting and implications for practice

B Peng, H Song, GI Crouch - Tourism Management, 2014 - Elsevier
Numerous studies on tourism forecasting have now been published over the past five
decades. However, no consensus has been reached in terms of which types of forecasting …

Forecasting city arrivals with Google Analytics

U Gunter, I Önder - Annals of Tourism Research, 2016 - Elsevier
Abstract The ability of 10 Google Analytics website traffic indicators from the Viennese DMO
website to predict actual tourist arrivals to Vienna is investigated within the VAR model class …

Exploring impact of climate on tourism demand

C Goh - Annals of tourism research, 2012 - Elsevier
Tourism demand has been extensively studied by tourism economists under the economic
framework. On the other hand travel motivation has also been widely analyzed by the …

Combination of long term and short term forecasts, with application to tourism demand forecasting

RR Andrawis, AF Atiya, H El-Shishiny - International Journal of Forecasting, 2011 - Elsevier
Forecast combination is a well-established and well-tested approach for improving the
forecasting accuracy. One beneficial strategy is to use constituent forecasts that have …

Combination forecasts of international tourism demand

S Shen, G Li, H Song - Annals of Tourism Research, 2011 - Elsevier
This study investigates the performance of combination forecasts in the context of
international tourism demand. Five econometric and two time-series models are employed …

[PDF][PDF] Predicting tourism demand by ARIMA models

B Petrevska - Economic research-Ekonomska istraživanja, 2017 - hrcak.srce.hr
The paper provides a short-run estimation of international tourism demand focusing on the
case of FYR Macedonia. For this purpose, the Box–Jenkins methodology is applied and …

The methodological progress of tourism demand forecasting: A review of related literature

C Goh, R Law - Journal of Travel & Tourism Marketing, 2011 - Taylor & Francis
Research on modeling the estimation and forecasting of tourism demand has evolved with
increasing sophistication and improved quality. In this study, 155 research papers published …

The combination of interval forecasts in tourism

G Li, DC Wu, M Zhou, A Liu - Annals of Tourism Research, 2019 - Elsevier
Combination is an effective way to improve tourism forecasting accuracy. However,
empirical evidence is limited to point forecasts. Given that interval forecasts can provide …