Analysis on inbound tourists' satisfaction in China: an empirical study based on the investigation of 5 cities

In China, the tourism industry is regarded as one means of fostering local economic development. This paper tries to examine inbound tourism development in China in the last decade and analyze inbound tourism's satisfaction of their travel experience with tourist attractions, facilities, services and price by an empirical study based on the investigation of Lanzhou, Wuhan, Guangzhou, Shanghai and Beijing. This paper discusses the demographic characteristics of visitors from Hong Kong, Macao and Taiwan, US, Korea and Japan by surveying a sample of 528 visitors in fi ve different cities. The survey showed that four provinces/autonomous region in western China ranked the top 10 popular destinations. Chinese natural landscape, culture and food were highly regarded by the tourists. At the same time, tourists expressed less satisfaction with tourist language convenience, tourist facility and nightlife in China. It was also found that only 7.4% of the tourists thought travel in China was far more than what they had paid, that 6.5% regarded they got what they paid for, and that 34.9% thought the travel cost was reasonable. Most tourists were satisfi ed with their travel experience in China; many of them would like to return to China and would like to recommend China. For the sustainable development of tourism, Chinese tourism authorities should strengthen the construction, propaganda and management of scenic spots, improve tourist facility and tourist education, especially language convenience, and strengthen the supervision of tickets, souvenir and hotel price.

Prediction of the high-quality development level of inbound tourism based on adaptive neural network technology

Visitors abroad come on an inbound tourism (IT) trip. Travelling beyond one’s usual surroundingsfor no more than a year in one go, or no less than tourist culture is considered inboundtourism. A network called adaptive neural networks (ANN) is used in dynamic tourism situations.Many methods are used to make neural networks flexible: weight adjustment, changes in neuronalcharacteristics, and changes in the network’s structural composition. One of the biggestproblems is that cultural clashes lead to many different places, which strain the transportationsystem. IT-ANN tools and technologies are discussed in this study, including the possibilities ofvisitor time and space-relationship data. As a result, inbound tourism doesn’t have to rely onweekend domestic travel because individuals who go on holiday overseas tend to return yearafter year. Finally, the neural network is equipped with a prediction model of travellers’ spatialand temporal distribution.

China's Inbound Tourist Revenue and Beijing Olympic Games 2008

During the process of economic globalization, China＇s inbound tourism has developed strongly. The present paper deals with one of the core issues of the international tourism industry： inbound tourist revenue. With the aid of conventional theories and the use of empirical tests, our study identifies some decisive factors that have influenced China＇s inbound tourist revenue through an analysis of the global and local conditions at macro and micro levels. The findings were then linked to the Olympic Games, the mega event having impacted international tourism. The findings were also linked to further.discussions and suggestions for the interactions between the Beijing Olympic Games 2008 and China＇s inbound tourism.