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http://dx.doi.org/10.14578/jkfs.2018.107.4.478

Analysis of Factors Affecting Hiking Trails by Logistic Regression Analysis: Focus on Golupogisan~Saenggyelyeong  

Choi, Taeheon (Department of Forest Management, Kangwon National University)
Kim, Joonsoon (Department of Forest Sciences, Kangwon National University)
Publication Information
Journal of Korean Society of Forest Science / v.107, no.4, 2018 , pp. 478-485 More about this Journal
Abstract
The study was carried out to select natural environmental factors that affect damage to hiking paths and to provide directions for facility management of hiking paths by a logistic regression analysis. The study sites is a total of 123 sample sites that located in the Baekdudaegan Guropo-Gisaengnyeong hiking trails. The variables used in the analysis model included mountain trail damage, forest type, herb of soil and crown density obtained through a field survey and included slope, soil and rock exposure obtained through FGIS. A logistic regression analysis of 43 sites and 80 undeveloped sites, 4 elements were selected for slope, herb of soil, soil and rock exposure. The slope and the herb of soil were positively correlated and the exposure of rock was negative. Soil has shown a positive correlation with its low missile and high sand ratio Saturn. Therefore, the management of the mountain hiking paths facilities should be established and restored considering the slope, herb of soil, soil and rock exposure.
Keywords
trail condition; trail deterioration types; logistic regression; trail maintenance;
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