ABSTRACT
Culture is one of the most important factors in attracting tourists and influencing the tourist experience. In China, "theme park" is a new field of tourism research, an excellent theme park can not only drive the development of a city's tourism industry, but also help it better publicize its history and culture. The article takes Kaifeng, China as the background, and selects the Song Dynasty historical and cultural theme park, which was established based on the traditional ink painting Qingming Riverside Drawing, as an example, to study the factors affecting tourists' travel experience in historical and cultural theme parks, and based on which it explores the reasons for the formation of tourists' satisfaction and post-trip behavioral intentions, to provide references and suggestions for the development of cultural theme parks from the point of view of travel experience. Based on the expectation confirmation theory, this essay introduces five constructs, namely, expectation (tourism motivation), performance (service quality), confirmation (tourism experience), satisfaction, and post-trip behavior intention, to construct a model of the factors influencing tourists' satisfaction by tourism experience in historical theme parks and analyze the intrinsic correlation among the factors within the model. It is found that tourists' tourism experience is mainly affected by tourism motivation and service quality, satisfaction and post-trip behavior intention are jointly determined by the above three. According to the research results, this study believes that tourism motivation, service quality, and tourism experience should be the focus of attention of the current tourist destinations, therefore, focusing on tourists' motivation to optimize the quality of service, helping tourists to enhance the sense of tourism experience, and improving based on the above focuses is of great significance to promote the development of historical and cultural theme parks.
ABSTRACT
This study uses social network analysis and modified gravity model methods to empirically analyse the network spatial correlation structure and spatiotemporal development trend of 21 cities in Guangdong Province from 2000 to 2020 based on tourism economic development data. The findings show that, first, Zhuhai has the greatest potential for growth as the centre of the spatial and temporal evolution trend of the network structure of the tourism economy in Guangdong Province, ahead of Shenzhen, Huizhou, Zhaoqing, Zhongshan, Jiangmen and Dongguan. However, Guangzhou, the capital city of Guangdong Province, is experiencing a decline in such influence and development. Second, there is a counter-trend growth in the number of tourism-related economic links among the 21 cities. Although Guangdong's tourism economic network intensity is strong, there is still room for further optimisation. Third, the results of the overall network indicators show that there is a need for further improvement in network density, grade and efficiency to help reduce the relative development gap of the cities' tourism and effectively improve the overall development of Guangdong's tourism economy. Finally, based on the core-periphery structure, this study proposes relevant suggestions for the sustainable development of Guangdong's tourism industry.
