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Cited by 156Transportation Planning and OptimizationUrban Design and Spatial AnalysisWildlife-Road Interactions and Conservation

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Least-cost paths in mountainous terrain

Rees, W.G.·2004·Computers & Geosciences
DOI 10.1016/j.cageo.2003.11.001
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Crossref · 10.1016/j.cageo.2003.11.001

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Existing travel rate functions fail to sufficiently account for the vast diversity of landscape conditions that impede foot travel.

    “Although a number of existing travel rate functions exist, they fail to sufficiently account for the vast diversity of landscape conditions that impede foot travel3–11.”

    From A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data (2024) · cites this paper as [10]

  • The conditions of slope dominance and minimal vegetation-density and surface-roughness variability are met for on-path travel, where surface roughness is assumed uniform and vegetation density is negligible.

    “and for “on-path” travel, where surface roughness is assumed to be uniform and vegetation density is negligible3,5,10.”

    From A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data (2024) · cites this paper as [10]

  • 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 [10]

  • Slope-controlled models estimate travel rates solely as a function of slope, which is most appropriate for on-path travel where vegetation density and surface roughness are low.

    “These slopecontrolled models estimate travel rates solely as a function of slope, which is most appropriate for on-path travel (i.e. on a road or trail) where vegetation density and surface roughness are low.”

    From Machine learning estimation of off-trail pedestrian travel rates using LiDAR-derived slope, vegetation, and surface roughness (2026) · cites this paper as Rees 2004

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 7

  1. Carver, 2000, Munro-bagging with a computer…? Naismith's rule and the long walk in, Scottish Mountaineering Club Journal, 191, 317
  2. Fritz, S., Carver, S., 2000. Modelling remoteness in roadless areas using GIS. Proceedings of the 4th International Conference and Workshop on Integrating Geographical Information Systems and Environmental Modelling. Banff, Canada. http://www.colorado.edu/research/cires/banff/pubpapers/157/ (accessed 03.10.03).
  3. Margaria, 1938, Sulla fisiologia e specialmente sul consumo energetico della marcia e della corsa a varia velocità ed inclinazione del terreno., Atti Della Accademia Nazionale Dei Lincei Memorie, 7, 299
  4. Margaria, R., 1976. Biomechanics of human locomotion. In: Biomechanics and Energetics of Muscular Exercise. Clarendon Press, Oxford, pp. 67–129.
  5. Naismith, W.W., 1892. Scottish Mountaineering Club Journal 2, 136.
  6. Rees, W.G., 2003. Naismith's rule overhauled. Scottish Mountaineering Club Journal, submitted for publication.
  7. Sedgewick, R., 2001. Algorithms in C, Part 5: Graph Algorithms, 3rd ed. Addison-Wesley, Boston. 512pp.

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Metadata

Authors
Rees, W. G.
Venue
Computers & Geosciences
Publisher
Elsevier BV
Published
2004-04
Volume
30
Issue
3
Pages
203-209
ISSN
0098-3004 (ISSN-L)
DOI
10.1016/j.cageo.2003.11.001
OpenAlex
W2044089388
Cited by
156
References
2
Citations by year
2026: 14 · 2025: 7 · 2024: 10 · 2023: 11 · 2022: 4 · 2021: 8 · 2020: 21 · 2019: 6 · 2018: 5 · 2017: 13 · 2016: 8 · 2015: 8 · 2014: 9 · 2013: 4 · 2012: 7
FWCI
2.45
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Computers & Geosciences (publishedVersion)
Topics
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Social Sciences › Urban Studies › Urban Design and Spatial Analysis
  • Physical Sciences › Environmental Science › Ecology › Wildlife-Road Interactions and Conservation
Keywords
least-cost path, mountainous terrain, footpaths, digital elevation model, Dijkstra's algorithm, slope gradient, human locomotion, metabolic cost, route planning

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