Terrain coefficients for predicting energy costs of walking over snow
Open accessAbstract
Background Predicting the energy costs of human travel over snow can be of significant value to the military and other agencies planning work efforts when snow is present. The ability to quantify, and predict, those costs can help planners determine if snow will be a factor in the execution of dismounted tasks and operations. To adjust predictive models for the effect of terrain, and more specifically for surface conditions, on energy costs, terrain coefficients (ƞ) have been developed. The physiological demands of foot travel over snow have been studied previously, and there are well established methods of predicting metabolic costs of locomotion. By applying knowledge gained from prior studies of the effects of terrain and snow, and by leveraging those existing dismounted locomotion models, this paper seeks to outline the steps in developing an improved terrain coefficient (ƞ) for snow to be used in predictive modeling. Methods Using published data, methods, and a well-informed understanding of the physical elements of terrain, e.g., characterization of snow sinkage (z), this study made adjustments to ƞ-values specific to snow. Results This review of published metabolic cost methods suggest that an improved ƞ-value could be developed for use with the Pandolf equation, where z = depth (h)*(1 - (snow density (ρ0)/1.186)) and ƞ = 0.0005z3 + 0.0001z2 + 0.1072z + 1.2604. Conclusion While the complexity of variables related to characteristics of snow, speed of movement, and individuals confound efforts to develop a simple, predictive model, this paper provides data-driven improvements to models that are used to predict the energy costs of dismounted movements over snow.
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- Authors
- Richmond, P. W., Potter, A. W., Looney, D. P., & Santee, W. R.
- Affiliations
- Cold Regions Research and Engineering Laboratory (US)
- Rutgers, The State University of New Jersey (US)
- U.S. Army Research Institute of Environmental Medicine (US)
- Corresponding author
- Potter, Adam W.
- Venue
- Applied Ergonomics
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 74
- Pages
- 48-54
- ISSN
- 0003-6870 (ISSN-L)
- OpenAlex
- W2885503817
- Cited by
- 29
- References
- 30
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 4 · 2022: 1 · 2021: 2 · 2020: 5 · 2019: 3 · 2018: 1
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Applied Ergonomics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- Engineer Research and Development Center
- Cold Regions Research and Engineering Laboratory
- U.S. Army Research Institute of Environmental Medicine
- Oak Ridge Institute for Science and Education
- U.S. Department of Energy
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Performance
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Keywords
- energy cost of walking, metabolic cost of locomotion, military operations planning
- MeSH terms
- Biobehavioral Sciences, Energy Metabolism, Forecasting, Humans, Locomotion, Snow, Walking
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