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Cited by 11Recreation, Leisure, Wilderness ManagementSports Performance and TrainingHistorical Geography and Cartography

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Hiking-time formulas: a review

Prisner, Erich, Sui, Peter·2023·Cartography and Geographic Information Science
DOI 10.1080/15230406.2023.2197625
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Abstract

Hiking-time formulas attempt to predict the time required for a hike based on available data. Most known hiking-time formulas can be classified into either pace-based, requiring the elevation profile as input, or formulas having horizontal distance d, cumulative elevation gain hU and loss hD as input. In the first part of the paper, we discuss some known formulas, give a list of desirable features of such pace-based functions, discuss advantages and disadvantages of the two approaches and the connection between them. It turns out that only linear functions with input d,hU and hD have uniquely identifiable pace-based function counterparts. Then. we demonstrate how such simple linear functions with input d,hU and hD can be constructed for individuals provided enough hiking data are available, using a case study of four hikers. We also include simple adjustments for the formulas based on the elevation of start and end point of the hike. Although no statistically valid conclusions can be drawn from such a small nonrandom sample, the results still give some insight into practical questions for hikers.

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Crossref · 10.1080/15230406.2023.2197625

Cites

19 of 19 references verified0 citation errors · 0 not checkable

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  • 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 [9]

  • The importance of median travel rate as a variable highlights inherent variability between individuals, which is also acknowledged in other studies on navigation speed and pedestrian behaviour.

    “While less important to the model's prediction than the landscape variables, the importance of median travel rate as a variable in our model highlights the inherent variability between individuals, which is also acknowledged in other studies on navigation speed and pedestrian behaviour (Irmischer and Clarke 2018;Prisner and Sui 2023).”

    From Machine learning estimation of off-trail pedestrian travel rates using LiDAR-derived slope, vegetation, and surface roughness (2026) · cites this paper as Prisner and Sui 2023

Citations

Cites

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Research works printed but not linked: 6

  1. Deutscher und östereichischer Alpenverein, 2011, Wegehandbuch des Alpenvereins
  2. Hein T., 2012, Zeit
  3. Langmuir E., 1984, Mountaincraft and leadership. Official handbook of the mountain leader training boards of Great Britain and Northern Ireland
  4. Läubli M., 2012, Tagesanzeiger
  5. Naismith W., 1892, Scottish Mountaineering Club Journal, 2, 133
  6. Winkler K., 2010, Bergsport Sommer: Technik, Taktik, Sicherheit

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Metadata

Authors
Prisner, E., & Sui, P.
Affiliations
Franklin University Switzerland (CH)
Corresponding author
Prisner, Erich
ORCID
Venue
Cartography and Geographic Information Science
Publisher
Informa UK Limited
Published
2023-05-09
Volume
50
Issue
4
Pages
421-432
ISSN
  • 1523-0406 (ISSN-L)
  • 1545-0465
DOI
10.1080/15230406.2023.2197625
OpenAlex
W4376114904
Cited by
11
References
19
Citations by year
2026: 3 · 2025: 4 · 2024: 4
FWCI
2.83
Type
journal article
Language
en
Open access
closed
Locations
Cartography and Geographic Information Science (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Recreation, Leisure, Wilderness Management
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
  • Social Sciences › Geography, Planning and Development › Historical Geography and Cartography
Keywords
horizontal distance, elevation adjustment, hikers

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