Submitted:
16 August 2023
Posted:
17 August 2023
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Abstract
Keywords:
1. Introduction
2. Heat-escape Market Demand and Supply
2.1. Market demand characteristics
- 1)
- Tourism Willingness. Recently, there has been a surge in people’s willingness to travel, and summer tourism to escape the heat has become increasingly popular. A comparison of the 2023 China Summer Tourism Development Report and 2018 China Heat-Escape Tourism Big Data Report found that the overall willingness of residents to travel in the third quarter increased from 80% in 2018 to 94.6% in 2023, with a high willingness to travel and a further increase in demand in the heat-escape tourism market.Baidu index big data platform shows that the search popularity with summer tourism as the key word is rising this year.
- 2)
- Travel Groups. The three main market groups of heat-escape tourism (the elderly, students and teachers, and urban residents of high-temperature cities) represent about 300 million people with high potential effective demand for heat-escape tourism. Due to the institutional arrangement of winter and summer vacations and the natural, seasonal rhythms, students and teachers become the main force of heat-escape tourism. With the change in the concept of the elderly and the strong national social security system, the number of the elderly who have money and time and are willing to travel is increasing. What’s more, summer brings a high incidence of cardiovascular and cerebrovascular diseases in the elderly, and heat-escape is especially important for them. Residents in traditional high-temperature areas also have a strong demand for heat escape, with a potential market size of more than 100 million people.
- 3)
- Short-range Orientation for Travel Groups. The cities most favored for heat-escape tourism tend to focus on first-tier cities and second-and third-tier high-temperature cities. However, in some cities, the main tourists come mainly from within and around the province, traveling short and medium distances. Provinces and cities with relatively developed economies and hot temperatures have relatively few local summer resources, and tourists prefer to go to cooler provinces, mainly long distances away, such as the Yangtze River Delta, the Beijing–Tianjin–Hebei region, the Pearl River Delta region, and the central and western “stove” cities. In addition, consumers in high-temperature cities create an obvious demand for heat-escape travel. Chongqing, Chengdu, and Hangzhou are the main sources of heat-escape tourists. However, some large provinces have rich heat-escape tourism resources, such as Heilongjiang, which is rich in forest, wetland, and lake resources. Yunnan, which has a spring-like temperature year-round, and Shandong, which has more developed coastal resources. Their main tourists are from within and around the province, mainly traveling short and medium distances, with a short-range orientation.
- 4)
- Resource Orientation for Travel Groups. The short-range orientation of travel groups refers to when tourists’ demand for heat-escape tourism is met by tourism products in nearby regions. Such resources supporting these tourism products are widely distributed and dispersed. Pleasant climate in China illustrates a geographical pattern, and most regions in Northwest and Northeast China, as well as North and Southwest China, have favorable heat-escape climate conditions. Tourists also tend to choose these regions as heat-escape destinations. Even in the traditional high-temperature areas, such as the middle and lower reaches of the Yangtze River, there are abundant heat-escape climate resources, such as Lushan Mountain in Jiangxi, Mogan Mountain in Zhejiang, and Tiantangzhai in Anhui. The three core destination regions support the main market for heat-escape tourism in China: the wetland and forest resources in Northeast China, the coastal resources around the Bohai Sea, and the small town and lake resources in Yunnan.
2.2. The Evolution of Heat-escape Tourism Supply
3. Mapping summer tourism climate resources in China
3.1. Data Sources and Methods
3.2. Spatial pattern
3.3. Evolution trend
4. Case Study: High-temperature Response of Shanghai Disney Market
5. Discussion and Conclusion
Author Contributions
Acknowledgments
Conflicts of Interest
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