Literature DB >> 8594031

Optimum gradient of mountain paths.

A E Minetti1.   

Abstract

By combining the experiment results of R. Margaria (Atti Accad. Naz. Lincei Memorie 7: 299-368, 1938), regarding the metabolic cost of gradient locomotion, together with recent insights on gait biomechanics, a prediction about the most economical gradient of mountain paths (approximately 25%) is obtained and interpreted. The pendulum-like mechanism of walking produces a waste of mechanical work against gravity within the gradient range of up to 15% (the overall efficiency is dominated by the low transmission efficiency), whereas for steeper values only the muscular efficiency is responsible for the (slight) metabolic change (per meter of vertical displacement) with respect to gradient. The speeds at the optimum gradient turned out to be approximately 0.65 m/s (+0.16 m/s vertical) and 1.50 m/s (-0.36 m/s vertical), for uphill and downhill walking, respectively, and the ascensional energy expenditure was 0.4 and 2.0 ml O2.kg body mass-1.vertical m-1 climbed or descended. When the metabolic power becomes a burden, as in high-altitude mountaineering, the optimum gradient should be reduced. A sample of real mountain path gradients, experimentally measured, mimics the obtained predictions.

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Year:  1995        PMID: 8594031     DOI: 10.1152/jappl.1995.79.5.1698

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  15 in total

1.  Improvement of walking speed prediction by accelerometry and altimetry, validated by satellite positioning.

Authors:  O Perrin; P Terrier; Q Ladetto; B Merminod; Y Schutz
Journal:  Med Biol Eng Comput       Date:  2000-03       Impact factor: 2.602

2.  The optimal locomotion on gradients: walking, running or cycling?

Authors:  L P Ardigò; F Saibene; A E Minetti
Journal:  Eur J Appl Physiol       Date:  2003-07-25       Impact factor: 3.078

3.  Living in a physical world VII. Gravity and life on the ground.

Authors:  Steven Vogel
Journal:  J Biosci       Date:  2006-06       Impact factor: 1.826

4.  Himalayan porter's specialization: metabolic power, economy, efficiency and skill.

Authors:  Alberto E Minetti; Federico Formenti; Luca P Ardigò
Journal:  Proc Biol Sci       Date:  2006-11-07       Impact factor: 5.349

5.  Mountaineering experience decreases the net oxygen cost of climbing Mont Blanc (4,808 m).

Authors:  Veronique L Billat; Maryse Dupré; Jason R Karp; Jean Pierre Koralsztein
Journal:  Eur J Appl Physiol       Date:  2009-12-24       Impact factor: 3.078

6.  Energy expenditure of extreme competitive mountaineering skiing.

Authors:  Caroline Praz; Bertrand Léger; Bengt Kayser
Journal:  Eur J Appl Physiol       Date:  2014-07-05       Impact factor: 3.078

7.  Optimal slopes and speeds in uphill ski mountaineering: a field study.

Authors:  Caroline Praz; Benedikt Fasel; Philippe Vuistiner; Kamiar Aminian; Bengt Kayser
Journal:  Eur J Appl Physiol       Date:  2016-08-17       Impact factor: 3.078

8.  Optimal slopes and speeds in uphill ski mountaineering: a laboratory study.

Authors:  Caroline Praz; Benedikt Fasel; Philippe Vuistiner; Kamiar Aminian; Bengt Kayser
Journal:  Eur J Appl Physiol       Date:  2016-03-30       Impact factor: 3.078

9.  Effect of weekly hiking on cardiovascular risk factors in the elderly.

Authors:  H Gatterer; C Raab; S Pramsohler; M Faulhaber; M Burtscher; N Netzer
Journal:  Z Gerontol Geriatr       Date:  2015-02       Impact factor: 1.281

10.  Parametric Modeling of Human Gradient Walking for Predicting Minimum Energy Expenditure.

Authors:  Gerard Saborit; Adrià Casinos
Journal:  Comput Math Methods Med       Date:  2015-08-31       Impact factor: 2.238

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