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Dynamic Forecasting Algorithm of Inbound Ice and Snow Tourism in China Based on Improved Deep Confidence Network
2021
Mobile Information Systems
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The inbound tourism demand dynamic prediction model uses an improved deep confidence network to learn and train the prediction model, input test data into the trained model, and output the dynamic prediction ...
time, a dynamic forecasting algorithm for ice and snow inbound tourism based on an improved deep confidence network is proposed. ...
Acknowledgments is study was supported by Qiqihar City Philosophy and Social Science Research Planning Project: Research on the status and development PATH of Qiqihar city's ice and snow sports industry ...
doi:10.1155/2021/5016905
fatcat:kseucnlyrzftfe5hud3wvuzusm
Tourism Traffic Demand Prediction Using Google Trends Based on EEMD-DBN
2020
Engineering
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EEMD extracted the high frequency noise from the original series. The low frequency series of search composite index would be used to forecast the low frequency tourism traffic series. ...
This paper considered the noise interference and proposed a hybrid model, combining ensemble empirical mode decomposition (EEMD), deep belief network (DBN) and Google trends, for tourism traffic demand ...
CCNU19ZN024 and the Humanities and Social Sciences Layout Foundation of the Ministry of Education of China under Grant No. 20YJA740047. ...
doi:10.4236/eng.2020.123016
fatcat:x6ayhwzsvvc4tnitbi75hhxsz4
The Forecast of The Number of Inbound Tourists and The Analysis of The Source Market During The Epidemic of Coronavirus Disease
2020
International Journal of Biology and Genetics
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These models are better than linear regression and time series. ...
As a leading tourism city in China, how to attract more tourists is not only related to the development of inbound tourism in Shanghai, but also provides some inspiration for other cities during the epidemic ...
There are many methods to predict the number of Inbound Tourists: Jincheng Tang, Songsak sriboonchitta and Xinyu yuan [1] use the time series model combined with belief function to predict the demand ...
doi:10.31829/2692-4242/biogen2020-3(1)-109
fatcat:om3kybascjhcdg6odykpm2dcyu
A review of demand forecasting models and methodological developments within tourism and passenger transportation industry
2019
Journal of Tourism Futures
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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 journals are studied and categorized based their used forecasting method. ...
Yu (2015) , optimized the grey model to forecast the inbound tourism demand for China. His model obtains more accurate results compared to time series. ...
doi:10.1108/jtf-10-2018-0061
fatcat:yrh57fdybbfnjn3byl23rwnn3e
Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach
2014
Tourism Management
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This study uses a system-of-equations approach to model the substitution relationship between Australian domestic and outbound tourism demand. ...
The empirical results reveal significant substitution relationships between Australian domestic tourism and outbound travel to Asia, the UK and the US. ...
Athanasopoulos and Hyndman (2008) used innovations state space models to forecast the domestic tourism demand. ...
doi:10.1016/j.tourman.2014.03.018
fatcat:oi7g5oefyrhahechggtwrfuyqm
Does Political and Economic Freedom Matter for Inbound Tourism? A Cross-National Panel Data Estimation
2016
Journal of Travel Research
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Su and Lin 2014, 3 to our knowledge, is the only study that includes political freedom as one of the control variables in modelling inbound tourism -nevertheless, since political freedom is not the main ...
Additionally, it is reasonable to contend, that there would be tourists who are used to living in countries with high levels of personal freedom and hence prefer to have holidays in countries with such ...
According to Baltagi 2008 and Wooldridge 2009 , panel data models are advantageous over models with cross-sectional or time-series data because panel data allows researchers to control for time-invariant ...
doi:10.1177/0047287515627028
fatcat:pqahmliu7vhx7imsphk2ks4ki4
Trends Underpinning Tourism to 2015
2003
International Journal of Tourism Sciences
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Special thanks go to Tourism New South Wales and Victoria University for allowing us to use their facilities for the Sydney and Melbourne workshops. ...
The authors would like to thank the many government and industry representatives who attended the workshops in Brisbane, Melbourne and Sydney and contributed their ideas and perspectives to the final report ...
Tourism Forecasts for Australia The Tourism Forecasting Committee (TFC) of Tourism Research Australia produces forecasts for inbound, outbound, and domestic travel, and economic value using an iterative ...
doi:10.1080/15980634.2003.11434550
fatcat:37yr2civoffqpg24c7fyknnjbu
Tourism as a factor of long-run economic growth: An empirical analysis for Chile
2009
European Journal of Tourism Research
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We use annual data from 1988 to 2008 of the GDP of Chile, the tourism expenditure and the real exchange rate. ...
This paper empirically investigates the impact of tourism on the long-run economic growth of Chile by using the Johansen analysis to obtain a co-integrated vector among the relevant variables and the Granger ...
Data, model and results It is difficult to find long time series of tourism for Chile. ...
doi:10.54055/ejtr.v2i2.36
fatcat:dcveztdjpndzhcxrszk6yibss4
LOCALE-VARYING RELATIONSHIPS BETWEEN TOURISM DEVELOPMENT AND RETAIL PROPERTY PRICES IN A SHOPPING DESTINATION
2020
International Journal of Strategic Property Management
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This study examines locale-varying relationships between tourism development (measured by tourist volume and tourism expenditure) and retail property prices from 2002Q1 to 2014Q4 in Hong Kong using standard ...
In other words, we find that tourism development measures can be used to better predict changes in retail property prices in the PTSA than simply referring to the price history. ...
The authors are grateful to the three re-viewers for their constructive comments. ...
doi:10.3846/ijspm.2020.13343
fatcat:hdc2cg5zozglzlswef7ia2jtnu
Japan
2020
IMF Staff Country Reports
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taken to be weakly exogenous) for the 33 economies, and update this data until 2018Q2. ...
The GVAR model includes 33 economies, which together cover more than 90 percent of world GDP (see Table 1 ). ...
It links individual country-specific models in a coherent manner to form a global modelling framework by using time series, panel data, and factor analysis techniques. ...
doi:10.5089/9781513529424.002
fatcat:m7ehjzholnex3dzj2lkryaj3oi
Tourism Opportunities for Kazakhstan on the Great Silk Road
2017
Journal of Geography and Environmental Management
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beliefs, and scientific and technical achievements. ...
Astana intends to invest $10 billion, $6 billion of which will come from private investors, and the country's tourism planners hope that it will help to develop its tourism sector by 2020. ...
Tourism as a sector of the national economy produces the product, which has to correspond to the market categories of demand and supply. ...
doi:10.26577/jgem.2018.2.450
fatcat:i2oe6nnrhveydfxjpr227xjlvq
Oil depletion: What does this mean for Scottish tourism?
2007
Tourism Management
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These were developed using a triangulation of methods including the use of systems thinking models to construct the scenarios to computable general equilibrium modelling to analyse the impact of oil and ...
The Energy Inflation scenario presumes mass belief in the plenitude of available oil reserves and the failure to respond quickly enough to alter demand. ...
in inbound tourism to the urban centres at least. ...
doi:10.1016/j.tourman.2006.09.014
fatcat:wiexjgdrvvc27jbdd4zta6fafy
International Journal of Business and Management, Vol. 4, No. 9, September 2009, all in one PDF file
2009
International Journal of Business and Management
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Acknowledgement I would like to express my thanks to Feng Nianhua, Zhang Weiya, Tang Shu, Yu Shihai, Li Na ...
, that between the international inbound tourism and export trade is 0.977; and that between the international inbound tourism and investment attraction is 0.943. ...
, and to increase the functions of products, all of which demand for amounts of capital. ...
doi:10.5539/ijbm.v4n9p0
fatcat:efikc3xfcred3fa6icirvfiobu
Panel threshold analysis of Taiwan's outbound visitors
2013
Economic Modelling
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According to the forecast of World Travel & Tourism Council (WTTC), the global demand for tourism and travel totalled US$ 5,490,400 in 2004, or 3.8% of global GDP, with worldwide tourism investments expected ...
First presented by Tong (1978) , the threshold model was an application of the threshold autoregression (TAR) model to the empirical testing of nonlinear time series. ...
doi:10.1016/j.econmod.2013.06.006
fatcat:4kou43kzkbe6jnbykeiwvhurge
COVID-19 and China's Hotel Industry: Impacts, a Disaster Management Framework, and Post-Pandemic Agenda
2020
International Journal of Hospitality Management
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A COVID-19 management framework is proposed to address the anti-pandemic phases, principles, and strategies. ...
, digital and intelligent transformation, and market reshuffle. ...
Despite the existence of the aforementioned frameworks and models, there is a growing demand for a context-specific model for COVID-19 because of the following reasons: existing frameworks are not realigned ...
doi:10.1016/j.ijhm.2020.102636
pmid:32834356
pmcid:PMC7405826
fatcat:cltimazjjzhfhfw2fuw5z2bvs4
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