Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9743
Title: A Neural Network model of the impact of political instability on tourism
Authors: Panchev, Christo 
Theocharous, Antonis L. 
Keywords: Neural network model;Τourism
Category: Economics and Business
Field: Social Sciences
Issue Date: 1-Dec-2013
Publisher: IEEE Computer Society
Source: International Joint Conference on Neural Networks, 2013, Dallas, United States
metadata.dc.doi: 10.1109/IJCNN.2013.6707103
Abstract: This paper presents an empirical integration of the dimensions of political instability with traditional exogenous variables, which are usually employed in econometric tourism demand forecasting, within a tourism demand model in order to investigate causal relationships between political instability and tourism. The work uses the POLINST Database, which contains events of political instability from 1977 to 1997 that took place in the Middle East - Mediterranean region. The model is based on a Focused Tapped Delay Line Neural Network (FTDNN) with a sliding time window of 12 months. The evaluation results show that our model can be used to achieve a good estimation of the effects of political instability on tourism. In an extended set of experiments we were able to show the relative importance of the political instability factors on tourism. Finally, our model also allowed to estimated the time lag between a political instability/terrorist event and the reduction of tourist number to the destination.
URI: http://ktisis.cut.ac.cy/handle/10488/9743
ISBN: 978-146736129-3
Rights: © 2013 IEEE.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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