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An evidence-based understanding of visitors’ landscape preferences is important for holistic forest planning and management. In this study, a visual landscape assessment was conducted to 1) determine the locations and recreational value of scenic hotspots (popular locations) and 2) identify the landscape types that visitors most preferred along the Inariyama Trail in the Takao Quasi-National Park in Tokyo by using geotagged visitor employed photography and asking the 60 participants to score their photographs based on five assessment measures. Nine hundred geotagged photographs were collected, and the subsequent hotspot analysis was conducted using a combination of Getis-Ord Gi* statistics in GIS. Analysis of means (ANOM) and analysis of variance (ANOVA) were performed to determine what and how visitors preferred landscapes in the site. The main findings of this study were as follows: 1) seven hotspots, comprising prominent landscape features and spatial changes, were identified, and 2) Prospect and Look-up were the most highly valued landscape types. These results reveal the importance of Look-up views, which have thus far been underrepresented in landscape assessments, and that hotspots are influenced by landscape features as well as spatial changes. Therefore, through the application of GIS technology, this study lays a foundation for future research as well as the planning and management of forested landscapes that harmonize recreation and other uses.

journal of forest research

Landscape assessment of forest trail using geotagged visitor employed photography: the case of the inariyama trail in the Takao Quasi-National Park, Tokyo