Austria is a mountainous country in Central Europe. About 60% of the forest has slope greater than 30% and 22% of the forestlands are located on the steep ground with slope greater than 60%. Hilly terrain and mountainous forest regions have led to the use of cable yarding systems in this country. About 19% of harvesting operations are done by cable yarding systems. The common types of cable logging systems are sled winch, tower yarder and self-propelled carriage.Road planning is an important step in planning the forest operation. Optimization of the road network can help minimize the total cost of harvesting. The average road density in Austrian forests is 45 m.ha -1 (www.bfw.ac.at). It is necessary to determine the optimal road density to minimize the combined yarding and road costs. Matthews (1942) first studied optimal road spacing. He developed a model to define optimum road spacing based on minimizing the total cost of skidding and road construction from the viewpoint of a landowner. For downhill forwarding operation an ORS of 503 m was reported in Southern Austria (Ghaffariyan et al. 2007). In two and three-stage cable yarding systems in British Colombia, three-stage yarding provided cost savings and a substantial increase in road spacing once critical road costs were exceeded (Howard, Tanz 1990).In the last years, mixed integer mathematical programming and heuristic algorithms such as TIMBRI (Sullivan 1974)
ABSTRACT:To minimize the cost of logging, it is necessary to optimize the road density. The aim of this study was to determine optimal road spacing (ORS) in Northern Austria. The stepwise regression method was used in modelling. The production rate of tower yarder was 10.4 m 3 /PSHo (Productive system hours) and cost of 19.71 €.m -3 . ORS was studied by calculating road construction cost, installation cost and yarding cost per m 3 for different road spacing. The minimum total cost occurred at 39.15 €.m -3 and ORS would be 474 m assuming uphill and downhill yarding. The optimal road density and yarding distance are 21.1 m.ha -1 and 90 m, respectively. A sample logging area was used to plan different roads and, using network analysis, the best solution was found based on a modified shortest path algorithm. The network analysis results were very different from the optimal road spacing results that assumed roads and logging corridors could be located anywhere in the planning area at a constant cost. Mixed integer programming was also used to get a real optimal solution.