China’s high-speed rail was inaugurated in 2008; it has greatly improved accessibility, and reduced the time required to travel between cities, but at the same time, has caused an unfair distribution of accessibility levels. Therefore, this paper analyzes urban traffic roads and socio-economic statistics, using network analysis methods, accessibility coefficients of variation, and social demand indexes to explore the spatial and temporal characteristics of transport accessibility and spatial equity in China. By 2015, the national transport accessibility level will form a new pattern of “corridors” and “islands”, centered on high-speed rail lines and sites. Additionally, the opening of high-speed railways has improved, to a certain extent, the inter-regional accessibility balance, and increased accessibility from high-speed railway sites to non-site cities. Spatial equality was also analyzed using the accessibility coefficient and social demand index. In conclusion, studying accessibility and spatial equity plays an important role in the rational planning of urban land resources and transportation.

Glamping, with its pursuit of connection with nature and focus on refinement, inspires the dissemination of glamping scenes—A tourism phenomenon that has received little attention in the literature despite its popularity with travelers. This study views the aesthetics of atmosphere theory as a breakthrough, analyzing user-generated content and in-depth interviews to identify three dimensions—physical environment, situation, and context—that are complementary developments of the aesthetics of atmosphere theory. After clarifying the characteristics of the construction of glamping scenes, we further explore the path of sustainable development of glamping from online to offline communication through the Stimulus-Organism-Response (SOR) framework. The results of grounded theory are used as stimulus and organism factors in the communication path and travel experience-sharing behavior and word-of-mouth recommendations are used as response factors. Research has revealed that physical environments and situational interactions play a decisive role in contextual perception and that unique organismic perception helps campers to respond positively to shared communication. The exploration of communication paths integrates atmospheric aesthetics theory and the SOR framework, contributing to the development of theory as well as suggesting ideas and references for the sustainable communication of glamping practices.

Ice, snow, and rime are wonders of the cold season in an alpine climate zone and climate landscape. With its pure, spectacular, and magical features, these regions attract numerous tourists. Ice and snow landscapes can provide not only visually-stimulating experiences for people, but also opportunities for outdoor play and movement. In China, ice and snow tourism is a new type of recreation; however, the establishment of snow and ice in relation to the suitability of the surrounding has not been clearly expressed. Based on multi-source data, such as tourism, weather, and traffic data, this paper employs the Delphi-analytic hierarchy process (AHP) evaluation method and a spatial analysis method to study the spatial differences of snow and ice tourism suitability in China. China’s ice and snow tourism is located in the latitude from 35°N to 53.33°N and latitude 41.5°N to 45°N and longitude 82°E to 90°E, with the main focus on latitude and terrain factors. A poor fit is concentrated at latitude 20.45°N to 35°N and longitude 100°E to 122°E; the difference is that the latitude is low and affected by the Japanese warm current. The analysis of the suitability of ice and snow tourism can be employed as a reference for the development of ice and snow tourism.

Using three Hangzhou Grand Canal historic conservation areas as the gaze fields, this study delineates differences in the image choices of visitors from cross-cultural backgrounds. Analysis of tourist-generated content, including destination image (DI) dimensions and frequency, suggests that Chinese tourists prefer human attractions and experiencing neighborhood life, while Western tourists prefer natural scenery and participating in tourist activities. The research also spotlights the phenomenon of the ‘tourist gaze circulatory.’ Tourists’ differentiated pursuits and on-site tourism experiences can influence the projection of DI, and the altered DI will in turn affect subsequent tourists. Based on this notion, suggestions are made for the in-depth development of the Canal’s historic conservation areas, differentiated for the different gazes of Chinese and Western tourists; and for a guide to help Western tourists experience Chinese urban life and enrich their gaze objects, with a view to protecting and enhancing world cultural heritage.

For urban climatic environments, the urban heat island (UHI) effect resulting from land use and land cover change (LUCC) caused by human activities is rapidly becoming one of the most notable characteristics of urban climate change due to urban expansion. UHI effects have become a significant barrier to the process of urbanization and sustainable development of the urban ecological environment. Predicting the spatial and temporal patterns of the urban heat environment from the spatial relationship between land use and land surface temperature (LST) is key to predicting urban heat environment risk. This study established an Urban Heat Environment Risk Model (UHERM) as follows. First, the urban LST was normalized and classified during three different periods. Second, a Markov model was constructed based on spatio-temporal change in the urban heat environment between the initial year (2005) and middle year (2010), and then a cellular automata (CA) model was used to reveal spatial relationships between the urban heat environments of the two periods and land use in the initial year. The spatio-temporal pattern in a future year (2015) was predicted and the accuracy of the simulation was verified. Finally, the spatio-temporal pattern of urban heat environment risk was quantitatively forecasted based on the decision rule for the urban heat environment risk considering both the present and future status of the spatial characteristics of the urban heat environment. The MODIS LST product and LUCC dataset retrieved from remote sensing images were used to verify the accuracy of UHERM and to forecast the spatio-temporal pattern of urban heat environment risk during the period of 2015–2020. The results showed that the risk of urban heat environment is increasing in the Chongqing metropolitan area. This method for quantitatively evaluating the spatio-temporal pattern of urban heat environment risk could guide sustainable growth and provide effective theoretical and technical support for the regulation of urban spatial structure to minimize urban heat environment risk.