The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The influence of surface slope on human gait characteristics: a study of urban pedestrians walking on an inclined surface
Abstract
Human locomotion on inclined surfaces has been little studied. This work investigated uphill and downhill walking of urban pedestrians on slopes of up to 9 degrees. During a 3-month period, the gait characteristics of 1200 female and 1200 male pedestrians were recorded as they traversed a ramp of naturally varying slope at Sydney's Circular Quay. Walking speed, cadence and step length were determined for each subject, and average population gait parameters, for each ramp angle, were also calculated. The most significant finding was that the pedestrians' step length was decreased during ramp descent. Since theoretical analysis concludes that a reduction in step length produces a reduction in the friction demand, a shortening of the stride length is probably a means of counteracting the higher friction demand that would otherwise be required at heel strike during downhill walking.
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“Based on past research, walking travel rates and times can be reliably predicted in situations in which slope is the dominant factor and variability in vegetation density and surface roughness is minimal.”
From A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data (2024) · cites this paper as [25]
In the citing paper
“These conditions are met in urban and other developed settings, where movement is expected to take place on roads or other well-maintained, hard surfaces23–25”
From A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data (2024) · cites this paper as [25]
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Metadata
- Authors
- SUN, J., WALTERS, M., SVENSSON, N., & LLOYD, D.
- Affiliations
- UNSW Sydney (AU)
- Venue
- Ergonomics
- Publisher
- Informa UK Limited
- Published
- 1996-03
- Volume
- 39
- Issue
- 4
- Pages
- 677-692
- ISSN
- 0014-0139 (ISSN-L)
- 1366-5847
- OpenAlex
- W2080303183
- Cited by
- 202
- References
- 16
- Citations by year
- 2026: 11 · 2025: 6 · 2024: 15 · 2023: 5 · 2022: 10 · 2021: 16 · 2020: 13 · 2019: 14 · 2018: 13 · 2017: 4 · 2016: 5 · 2015: 5 · 2014: 7 · 2013: 3 · 2012: 17
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ergonomics (publishedVersion)
- PubMed (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Funders
- University of New South Wales
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Social Sciences › Safety Research › Evacuation and Crowd Dynamics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Vibration Analysis
- Keywords
- human walking, inclined surfaces, uphill walking, downhill walking, step length, walking speed, cadence, gait parameters, sex differences
- MeSH terms
- Adolescent, Adult, Aged, Analysis of Variance, Child, Female, Gait, Humans, Male, Middle Aged, Urban Population, Walking, Friction
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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