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Cited by 87Evacuation and Crowd DynamicsUrban Design and Spatial AnalysisUrban Transport and Accessibility

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

How does weather and climate affect pedestrian walking speed during cool and cold seasons in severely cold areas?

Liang, Shuai, Leng, Hong, Yuan, Qing, Wang, Biwei, Yuan, Chao·2020·Building and Environment
DOI 10.1016/j.buildenv.2020.106811
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Abstract

Being able to understand pedestrians behavior is essential for urban planning. Despite a burgeoning research effort directed at the design and modelling of effective urban spaces for pedestrians, remarkably little is known about how pedestrians actually negotiate urban spaces in severely cold areas. By adopting computer vision technology, this paper reports the results of a video-based observational study aimed at exploring how and to what degree weather and climate affect pedestrian walking speed. The result shows that ice-snow sports, as a source of space attraction, can trigger a sudden change in the walking speed of pedestrians within space at the level of personal willingness. It also shows that the average walking speed at population level, was affected by both apparent temperature and ground conditions. Specifically, the average walking speed is negatively correlated with the instantaneous apparent temperature. The apparent temperature also has a time-lag effect on the average walking speed and the larger the temperature fluctuation, the more significant the time-lag effect. When the ground covered with snow, the average walking speed will decrease by about 0.102 m/s than that of the clean ground. These findings, we hope, should prove useful to any researcher and urban manager interested in and committed to designing more effective pedestrian spaces and in modelling pedestrian behavior at a microscopic level in harsh climate.

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Crossref · 10.1016/j.buildenv.2020.106811

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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  • Existing methods to calculate walking speeds require tuning for use in real-world scenarios, as many factors affect an individual's walking speed beyond slope and obstruction level (such as weather, fitness level or age).

    “The existing methods to calculate walking speeds require tuning for use in real-world scenarios, as there are many factors which can affect an individual’s walking speed beyond the slope and obstruction level (such as the weather, fitness level or age) [2–4].”

    From Improved prediction of hiking speeds using a data driven approach (2023) · cites this paper as [4]

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Research works printed but not linked: 1

  1. Hoogendoorn, 2003, 1, 1

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Metadata

Authors
Liang, S., Leng, H., Yuan, Q., Wang, B., & Yuan, C.
Affiliations
Harbin Institute of Technology (CN)
Venue
Building and Environment
Publisher
Elsevier BV
Published
2020-05
Volume
175
Pages
106811
ISSN
0360-1323 (ISSN-L)
DOI
10.1016/j.buildenv.2020.106811
OpenAlex
W3011514887
Cited by
87
References
55
Citations by year
2026: 21 · 2025: 24 · 2024: 13 · 2023: 14 · 2022: 8 · 2021: 6 · 2020: 1
FWCI
9.23
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Building and Environment (publishedVersion)
  • National University of Singapore (submittedVersion)
Funders
  • National Natural Science Foundation of China (51978192)
  • China Scholarship Council (201906120308)
  • Chinese Government Scholarship
Topics
  • Social Sciences › Safety Research › Evacuation and Crowd Dynamics
  • Social Sciences › Urban Studies › Urban Design and Spatial Analysis
  • Social Sciences › Transportation › Urban Transport and Accessibility
Keywords
walking speed, cold climate, apparent temperature, snow-covered terrain, lagged effects, temperature fluctuations, urban planning

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