The effect of shade trees on the air and surface-soil temperature reduction under the canopy was studied in a park in subtropical Taipei City, Taiwan. Ten species of trees and two species of bamboo, which had tightly clustered tall stems and spreading branches resembling trees in shape, were chosen for the study. In the summer of 2007, we measured leaf and canopy characteristics of each species. The microclimate conditions under the tree canopies and an unshaded open space were measured repeatedly at middays without precipitation. In comparison with the nearby unshaded open space, air temperatures under the canopies were 0.64 to 2.52 °C lower, whereas the surface-soil temperatures were 3.28 to 8.07 °C lower. Regression analysis revealed the relative contributions to air cooling effect by the plant's leaf color lightness, foliage density, leaf thickness, and leaf texture (surface roughness) in decreasing order. Foliage density had the greatest contribution to surface-soil cooling followed by leaf thickness, leaf texture, and leaf color lightness in that order. Regression analysis also revealed that solar radiation, wind velocity, and vapor pressure at the site had significant effects on temperature reduction attributable to shade trees or bamboo.

What we comprehend and recollect in a landscape is closely related to how we look; therefore, attention to and understanding of human viewing behaviour is required. In our study, we employed eye-tracking technology as a means to understand visual perception. The objective of this study is to examine the relationships among landscape characteristics, landscape preference and viewing behaviour. A total of 45 subjects were asked to view 20 sets of photographs freely in a two-by-two display. Same landscape types were grouped together. The results indicated that higher hue variation and chroma encourages visual fixation. A strong relationship was identified between landscape preference and fixation count in mountain, aquatic and forest landscapes. People tend to have different preferences and different viewing behaviour while viewing different landscape types. It is concluded that magenta-green variation, yellow-blue colour field, and hue variation is an important factor in mountain, aquatic, and open landscapes, respectively.

WeChat Official Accounts (WOAs)—a feature of WeChat—are thriving. However, studies on travel-related WOAs remain scarce and lack depth. This study aimed to identify the factors that influence usage intentions and travel intentions in regard to travel-related WOAs. Based on the Uses and Gratifications (U&G) theory, this study developed a theoretical model and examined the model through a web-based questionnaire. The questionnaire was distributed through the online survey tool Sojump. After analyzing the obtained data via structural equation modeling, the results revealed that: (1) social, entertainment, and information motivations are the primary factors influencing usage intentions; (2) information and entertainment motivations are important factors influencing travel intentions; and (3) usage intentions positively affect travel intentions and play a mediating role. The findings carry theoretical and practical significance regarding how travel-related WOAs can improve users’ usage and travel intentions, as well as value for the actual management and marketing of WOAs.

Trails are important recreation settings; determining an appropriate trail usage amount to avoid unacceptable ecological impacts is important for protected areas. However, there is a lack of studies examining trail usage’s direct and indirect relationships and the influence of landscape-level conditions to evaluate ecological carrying capacity. This study integrated a path analysis model and stakeholder assessment to estimate the ecological carrying capacity of trails in a protected area. This study surveyed the biophysical environment along the trails and conducted a path analysis to establish the use–impact model for the trails in the study area. Based on the use–impact model, this study developed four-level usage scenarios and collected the stakeholders’ acceptance evaluation to determine the ecological carrying capacity range. The results showed that the weekly usage of the trails directly affected the soil hardness and plant coverage of the trail. The trail’s soil hardness directly affected the surrounding soil hardness, decreasing its plant coverage, while the vegetation type and slope also affected its plant cover. The stakeholders of the Mt. Xiaoguanyin Area reached a consensus on the ecological carrying capacity range, which was 288 to 404 total weekly hikers. The study results revealed the effect paths of the landscape-level conditions and usage impacts and provided managers with an implementable ecological carrying capacity. The estimation framework could be a reference for determining ecological carrying capacity in other protected areas.