An experimental study on pedestrian walking speed considering combined effect of heeling and trim

• Experiments studied slope effects on walking speeds. Built 9 ship corridor simulators with 15 trim/heeling combinations to mimic inclined conditions. • Conducted individual/crowd walking tests. Delivered ship evacuation data under combined trim-heeling conditions, addressing knowledge gaps. • Speed attenuation models for individual/crowd walking were developed, including dynamic analysis of crowd velocity distribution under combined trim and heeling angles . • The results show that under combined trim and heeling conditions, the average pedestrian speed in crowd walking mode is more sensitive to variations in heeling angle compared to individual walking mode. This study investigates the impact of inclined conditions on pedestrian walking speeds, focusing on both individual and crowd walking modes. A total of fifteen different combinations of heeling and trim angles were simulated to conduct a comprehensive evacuation experiment. The heeling angles α considered were 0 ∘ , 5 ∘ , and 10 ∘ , while the trim angles β were 0 ∘ , ± 10 ∘ , and ± 15 ∘ . Results indicate that average pedestrian walking speeds in both individual and crowd walking modes follow a similar trend as the trim angle β varies from − 15 ∘ to 15 ∘ , with the heeling angle α at 0 ∘ , 5 ∘ , or 10 ∘ . Under combined trim and heeling conditions, the average pedestrian speed in crowd walking mode is more sensitive to changes in heeling inclination compared to individual walking mode. Furthermore, under the same inclination angles, pedestrian walking speeds in crowd walking mode exhibit a more concentrated distribution compared to those in individual walking mode. Moreover, analysis of the spatiotemporal distribution of instantaneous velocities reveals that the trends in walking speeds during crowd walking mode in inclined scenarios follow a similar pattern to those observed in individual walking mode. The results will provide fundamental guidance to the practical human evacuation from passenger ships.

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Publication Details

Journal
Ocean Engineering
Published
2025-04-29
DOI
https://doi.org/10.1016/j.oceaneng.2025.121300
Citations
1
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
1.15

Funders

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article

An experimental study on pedestrian walking speed considering combined effect of heeling and trim

Zihang Li, Boxuan Wang, Yong Jiang, Dawei Zhang et al.
1 citations
Ocean Engineering
Evacuation and Crowd Dynamics
1.15
article

An experimental study on pedestrian walking speed considering combined effect of heeling and trim

Zihang Li, Boxuan Wang, Yong Jiang, Dawei Zhang, Y. Mao
article en
1 citations

Abstract

• Experiments studied slope effects on walking speeds. Built 9 ship corridor simulators with 15 trim/heeling combinations to mimic inclined conditions. • Conducted individual/crowd walking tests. Delivered ship evacuation data under combined trim-heeling conditions, addressing knowledge gaps. • Speed attenuation models for individual/crowd walking were developed, including dynamic analysis of crowd velocity distribution under combined trim and heeling angles . • The results show that under combined trim and heeling conditions, the average pedestrian speed in crowd walking mode is more sensitive to variations in heeling angle compared to individual walking mode. This study investigates the impact of inclined conditions on pedestrian walking speeds, focusing on both individual and crowd walking modes. A total of fifteen different combinations of heeling and trim angles were simulated to conduct a comprehensive evacuation experiment. The heeling angles α considered were 0 ∘ , 5 ∘ , and 10 ∘ , while the trim angles β were 0 ∘ , ± 10 ∘ , and ± 15 ∘ . Results indicate that average pedestrian walking speeds in both individual and crowd walking modes follow a similar trend as the trim angle β varies from − 15 ∘ to 15 ∘ , with the heeling angle α at 0 ∘ , 5 ∘ , or 10 ∘ . Under combined trim and heeling conditions, the average pedestrian speed in crowd walking mode is more sensitive to changes in heeling inclination compared to individual walking mode. Furthermore, under the same inclination angles, pedestrian walking speeds in crowd walking mode exhibit a more concentrated distribution compared to those in individual walking mode. Moreover, analysis of the spatiotemporal distribution of instantaneous velocities reveals that the trends in walking speeds during crowd walking mode in inclined scenarios follow a similar pattern to those observed in individual walking mode. The results will provide fundamental guidance to the practical human evacuation from passenger ships.

Ocean EngineeringVol. 331
Tianjin University of Science and Technology (CN)
National Natural Science Foundation of China, National Natural Science Foundation of China-Guangdong Joint Fund
Sustainable cities and communities
Openalex Percentile: Top 24%
Evacuation and Crowd Dynamics
1.15
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