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Comparisons of Estimated Circuity Factor of Forest Roads with Different Vertical Heights in Mountainous Areas, Republic of Korea

Institute of Ecological Restoration, Kongju National University, 54 Daehak-ro, Yesan-gun, Yesan-eup, Chungcheongnam-do 32439, Korea
Forests 2019, 10(12), 1147; https://doi.org/10.3390/f10121147
Received: 11 November 2019 / Revised: 12 December 2019 / Accepted: 12 December 2019 / Published: 16 December 2019
(This article belongs to the Special Issue Planning, Design, and Maintenance of Forest Road Networks)
Distance is one of the important factors in determining transportation cost and travel time, and it can be easily estimated by measuring the circuity of road networks. This study calculated the circuity factors to estimate the network distance for 27 forest roads (about 105 km) in South Korea. For this purpose, ridge, mid-slope, and valley roads were classified according to the construction location of the mountain slope, and the weighted and unweighted circuity factor (each 500-m section) were calculated. The average value of weighted circuity was 1.55: mid-slope roads (2.09), ridge roads (1.36), and valley roads (1.09). The average unweighted circuity factors were 1.61 for mid-slope roads, 1.21 for ridge roads, and 1.07 for valley roads. This study found that the circuity of the forest road network was most affected by the mountain terrain. In addition, the circuity factor increased with increasing network distance in the mid-slope roads but was not affected by the network distance in ridges and valleys. To improve the efficiency of transportation in the forest road network, it is important to locate the ladings and properly connect with the public road network. View Full-Text
Keywords: forest road circuity; forest road network; network distance; forest transportation forest road circuity; forest road network; network distance; forest transportation
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Kweon, H. Comparisons of Estimated Circuity Factor of Forest Roads with Different Vertical Heights in Mountainous Areas, Republic of Korea. Forests 2019, 10, 1147.

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