Rui Li’s research while affiliated with Jiangxi Normal University and other places

This study develops a methodological framework for measuring energy conservation and CO2 emission reductions that considers both origins and destinations. The framework encompasses four key aspects: transportation, accommodation, cooking, and housing rehabilitation. Data were collected through a literature review, questionnaire surveys, and field measurement tracking. Compared to living in the origin, senior tourists from Nanchang visiting Zhongyuan Township in China for summer tourism can save 5.747 MJ of energy and reduce CO2 emissions by 3.303 kg per capita per day. An in-depth analysis indicated that the research site could further enhance energy conservation and reduce CO2 emissions by improving public transportation services, optimizing the energy structure of the destination, and diversifying the available recreational offerings. Depending on the characteristics of the destination and the primary origin, summer or winter tourism in various countries or regions can employ the methodological framework to evaluate energy conservation and CO2 emission reductions after identifying specific parameters. The improved pathways identified through this research can serve as a checklist for other countries or regions aiming to explore energy conservation and CO2-emission-reduction pathways for summer or winter tourism. Enhancing climate-driven tourism development may offer a new avenue for the tourism industry to contribute to carbon reduction targets.

In China, rural summer health tourism for the urban elderly (RSHTUE) is growing rapidly, but the drivers of RSHTUE development have not been systematically explored. First, this study conducted semi-structured interviews with operators, village leaders, local government staff, and elderly tourists in Zhongyuan Township, Jiangxi Province, China: a typical township for developing RSHTUE. Second, interview data were thematically coded to extract the preliminary drivers. Third, the preliminary drivers supported by the literature or original interview quotes were considered the final drivers. Lastly, subcategories and categories were extracted from the final drivers by thematic coding to form a framework of drivers for RSHTUE development. The results show that the framework driving RSHTUE development includes two categories: demand and supply. Nine demand drivers were clustered into four subcategories: economic, social, cultural, and natural. A total of 21 supply drivers were clustered into five subcategories: economic, social, political, cultural, and natural. This study enriches the knowledge of RSHTUE development drivers. The literature supporting each driver was systematically reviewed. RSHTUE-relevant participants can use these drivers to identify villages’ suitability for developing RSHTUE and to explore countermeasures for the sustainable development of RSHTUE. The literature on each driver can provide support for subsequent studies.

The names of tourism types formed by scholars and practitioners reflect the connotations of various tourism types from different aspects and carry a wealth of tourism knowledge. The documents containing the names and connotations of 232 tourism types were sorted from the Springer Encyclopedia of Tourism and 16 major international academic journals. These documents were analyzed using the coding method of grounded theory. A total of 155 naming elements, 22 subcategories, and six categories were extracted. These naming elements, subcategories, and categories constitute the tourism-type ontology, which is the first tourism-type classification framework. Furthermore, the construction of tourism-type ontology enriches the existing research on overall tourism knowledge. The tourism-type ontology can also be used as a preliminary framework for organizing overall tourism knowledge and a foundation for constructing a unified tourism-type naming rule.