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overseas tourists    
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  海外旅游者
    Furthermore, the passenger traffic volume will be enhanced by means of increasing the investment, improving the service quality of international tourism and reducing the average cost of overseas tourists.
    增加旅游业的投资,提高国际旅游业的质量及旅游环境,同时,降低海外旅游者的人均天花费,促进出境旅游的发展,可以极大的增加民航客运量;
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  海外旅游者
    Furthermore, the passenger traffic volume will be enhanced by means of increasing the investment, improving the service quality of international tourism and reducing the average cost of overseas tourists.
    增加旅游业的投资,提高国际旅游业的质量及旅游环境,同时,降低海外旅游者的人均天花费,促进出境旅游的发展,可以极大的增加民航客运量;
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  overseas tourists
The total foreign exchange earnings from overseas tourists grew by 9.7% in 2001 to US$17.8 billion.
      
Of British overseas tourists, 21% stated they would be willing to pay 5% more for their holiday if they were presented with such a written guarantee.
      
Hong Kong, Taiwan, Japan and the US were the major sources of overseas tourists.
      
As we move ever-closer to 2008, Liverpool's popularity with both UK and overseas tourists is increasing.
      


Based on analysing the market of Japan overseas tourists in Shanghai,a grey prediction model known as applying theory of grey system froms GM( 1 ,1 ) model relationship is in the lightof the relation- ship between tourist flow and time.The model tallies with the actual tourist flow,it may also be used for predicting tourist flow in the coming years.

通过对上海市境外旅游客源市场游客数量的分析 ,得出日本为上海最大的境外旅游客源国。根据客流量与时间的关系 ,利用灰色系统理论建立 GM(1,1)灰色预测动态模型 ,其研究模型不仅与实际客流量相吻合 ,还可较精确地给出短期甚至中期的预报结果 ,以便对未来几年客流量进行预测。

Forecast and analysis of tourist volume are the basis and key work of tourism planning and management.At present,forecast of tourist volume is mainly based on traditional research approach or single artificial neural network technology.Recent study results show that combined forecast model approach enjoys more precise forecast than monomial forecast approach.The paper proposes a new forecast approach based on BP neural network and ARIMA combined model and makes comprehensive analysis and forecast of the changing...

Forecast and analysis of tourist volume are the basis and key work of tourism planning and management.At present,forecast of tourist volume is mainly based on traditional research approach or single artificial neural network technology.Recent study results show that combined forecast model approach enjoys more precise forecast than monomial forecast approach.The paper proposes a new forecast approach based on BP neural network and ARIMA combined model and makes comprehensive analysis and forecast of the changing trend of inbound tourists to China.Forecast results indicate that this approach is more precise in terms of monomial forecast method.The combined model is feasible and effective in the forecast of overseas tourists.

游客量的预测和分析是旅游规划与管理的基础性、关键性工作。目前,游客量预测主要采用基于传统研究方法或人工神经网络技术的单项预测方法。近年来的研究表明,组合预测方法比单项预测具有更高的预测精度。本文提出了一种基于BP神经网络和ARIMA组合模型的游客量预测新方法,对中国入境旅游人次数的变化趋势进行了综合分析与预测,预测结果表明这种方法相对于单一的预测方法具有更高的精度,该模型在旅游预测中的应用是可行、有效的。

For analyzing the market of overseas tourists in Sichuan Province,a dynamic grey prediction model known as GM(1,1) model was tabled by applying theory of grey system.Starting from analyzing the amount of overseas tourist in the Sichuan Province,this research model was tabled in the light of the relation between tourist flow and time.The model tallied with the actual tourist flow;it was used for predicting tourist flow in the coming years,and gave some suggestions on these grounds....

For analyzing the market of overseas tourists in Sichuan Province,a dynamic grey prediction model known as GM(1,1) model was tabled by applying theory of grey system.Starting from analyzing the amount of overseas tourist in the Sichuan Province,this research model was tabled in the light of the relation between tourist flow and time.The model tallied with the actual tourist flow;it was used for predicting tourist flow in the coming years,and gave some suggestions on these grounds.

通过对四川省1997—2005年境外游客数量的分析,发现除个别年份以外,整个时间序列总体呈增长趋势。根据客流量与时间的关系,利用动态灰色预测理论建立了四川省境外客源市场的等维灰数递补动态预测模型。经过检验,该模型既与实际客流量相吻合,又能精确地给出短期甚至中期的预报结果。通过对未来几年客流量进行预测,并据此提出相应的建议,提供给有关管理和决策部门参考。

 
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