Operational Speed in Skidding Operations by Cable Skidders and Farm Tractors: Results of a Nationwide Assessment

Accurate estimates of operational speed are crucial for modeling skidding productivity and planning efficient timber extraction. This study provides an event-level characterization of operational speeds in timber skidding operations in Romania, comparing cable skidders and farm tractors. Unlike most previous studies, which are based on limited datasets, this research uses a large, diverse dataset obtained through GNSS tracking over 98 field days at 14 sites, supplemented by synchronized video recordings. A total of 1.74 million seconds of data were collected, with 1.20 million seconds retained for analysis after data quality filtering. Descriptive statistics and Mann–Whitney U tests revealed significant differences in speed. For cable skidders, median speeds ranged from 1.6 km/h during maneuvering at the pre-skidding site to 5.0 km/h during unloaded driving to the pre-skidding site. For farm tractors, median speeds ranged from 2.2 km/h during maneuvering on the forest road to 6.0 km/h when driving unloaded to the pre-skidding site. The highest speeds were observed during unloaded driving, while the lowest occurred during maneuvering. Surprisingly, farm tractors outperformed cable skidders in some operational events due to more favorable terrain. The findings document GNSS-derived speed as a sufficiently reliable proxy for machine performance assessment and provide robust data for predictive modeling, operational planning, and equipment selection in forestry.

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Publication Details

Journal
Applied Sciences
Published
2025-09-10
DOI
https://doi.org/10.3390/app15189921
Primary Topic
Forest Biomass Utilization and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Operational Speed in Skidding Operations by Cable Skidders and Farm Tractors: Results of a Nationwide Assessment

Stelian Alexandru Borz, Monica Cecilia Zurita Vintimilla
Applied Sciences
Forest Biomass Utilization and Management
article

Operational Speed in Skidding Operations by Cable Skidders and Farm Tractors: Results of a Nationwide Assessment

Stelian Alexandru Borz, Monica Cecilia Zurita Vintimilla
article en

Abstract

Accurate estimates of operational speed are crucial for modeling skidding productivity and planning efficient timber extraction. This study provides an event-level characterization of operational speeds in timber skidding operations in Romania, comparing cable skidders and farm tractors. Unlike most previous studies, which are based on limited datasets, this research uses a large, diverse dataset obtained through GNSS tracking over 98 field days at 14 sites, supplemented by synchronized video recordings. A total of 1.74 million seconds of data were collected, with 1.20 million seconds retained for analysis after data quality filtering. Descriptive statistics and Mann–Whitney U tests revealed significant differences in speed. For cable skidders, median speeds ranged from 1.6 km/h during maneuvering at the pre-skidding site to 5.0 km/h during unloaded driving to the pre-skidding site. For farm tractors, median speeds ranged from 2.2 km/h during maneuvering on the forest road to 6.0 km/h when driving unloaded to the pre-skidding site. The highest speeds were observed during unloaded driving, while the lowest occurred during maneuvering. Surprisingly, farm tractors outperformed cable skidders in some operational events due to more favorable terrain. The findings document GNSS-derived speed as a sufficiently reliable proxy for machine performance assessment and provide robust data for predictive modeling, operational planning, and equipment selection in forestry.

Applied SciencesVol. 15(18)
Transylvania University of Brașov (RO)
Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii
Openalex Percentile: Top 73%
Forest Biomass Utilization and Management
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Operational Speed in Skidding Operations by Cable Skidders and Farm Tractors: Results of a Nationwide Assessment — Stelian Alexandru Borz, Monica Cecilia Zurita Vintimilla · Applied Sciences (2025) | TGRS Research Map | TGRS