The DOI matches its Crossref record.
Running Uphill: An Experimental Result and its Applications
Abstract
An experimentally derived formula has implications for (i) the measurement of a runner's workrate; (ii) choice of gradient in running uphill; and (iii) the use of Naismith's rule in deriving schedules for fell runners.
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Claims other papers make about this one
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Established methods for predicting walking time use the gradient in the direction of travel (walking slope) as the main variable.
“Hikers and hillwalkers typically use the gradient in the direction of travel (walking slope) as the main variable in established methods for predicting walking time (via the walking speed) along a route.”
From Improved prediction of hiking speeds using a data driven approach (2023) · cites this paper as [11]
Previous work identified the existence of a critical gradient, the angle at which it is faster to zig-zag up a hill rather than ascend directly, occurring at a walking slope of around 15-21 degrees.
“Furthermore, previous work [11, 29–31] has identified the existence of a critical gradient; the angle at which it is faster to zig-zag up a hill, rather than ascend directly. This occurs at a walking slope of around 15—21 degrees, so models which failed to predict the critical gradient occurring below 21 degrees were removed.”
From Improved prediction of hiking speeds using a data driven approach (2023) · cites this paper as [11]
Citations
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Sorted by citations
Using crowdsourced fitness tracker data to model the relationship between slope and travel rates
Campbell, M. J., Dennison, P. E., Butler, B. W., & Page, W. G. (2019) · Applied Geography · doi:10.1016/j.apgeog.2019.03.008 · Cited by 87
Campbell, M. J., Dennison, P. E., & Butler, B. W. (2017) · International Journal of Wildland Fire · doi:10.1071/wf17031 · Cited by 42
Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data
Campbell, M. J., Dennison, P. E., & Thompson, M. P. (2022) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2022.101866 · Cited by 26
Sullivan, P. R., Campbell, M. J., Dennison, P. E., Brewer, S. C., & Butler, B. W. (2020) · Fire · doi:10.3390/fire3030052 · Cited by 20
Kay, A. (2012) · Geographical Analysis · doi:10.1111/j.1538-4632.2012.00838.x · Cited by 19
Improved prediction of hiking speeds using a data driven approach
Wood, A., Mackaness, W., Simpson, T. I., & Armstrong, J. D. (2023) · PLOS One · doi:10.1371/journal.pone.0295848 · Cited by 15
Hiking-time formulas: a review
Prisner, E., & Sui, P. (2023) · Cartography and Geographic Information Science · doi:10.1080/15230406.2023.2197625 · Cited by 11
Campbell, M. J., Gannon, B. M., Rahman, O., Stratton, R. D., & Dennison, P. E. (2024) · Fire · doi:10.3390/fire7080292 · Cited by 5
Metadata
- Authors
- Davey, R. C., Hayes, M., & Norman, J. M.
- Affiliations
- Department of Medical Physics and Clinical EngineeringUniversity of Sheffield
- Sheffield University Management School
- Venue
- Journal of the Operational Research Society
- Publisher
- Informa UK Limited
- Published
- 1994-01
- Volume
- 45
- Issue
- 1
- Pages
- 25-29
- ISSN
- 0160-5682
- 1476-9360
- Cited by
- 18
- References
- 0
- Language
- en
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