{"title":"考虑倾斜和倾斜联合效应的行人行走速度实验研究","authors":"Yong Jiang, Zihang Li, Yurou Mao, Boxuan Wang, Dawei Zhang","doi":"10.1016/j.oceaneng.2025.121300","DOIUrl":null,"url":null,"abstract":"<div><div>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 <span><math><mi>α</mi></math></span> considered were <span><math><msup><mn>0</mn><mo>∘</mo></msup></math></span>, <span><math><msup><mn>5</mn><mo>∘</mo></msup></math></span>, and <span><math><msup><mn>10</mn><mo>∘</mo></msup></math></span>, while the trim angles <span><math><mi>β</mi></math></span> were <span><math><msup><mn>0</mn><mo>∘</mo></msup></math></span>, <span><math><mrow><mo>±</mo><msup><mn>10</mn><mo>∘</mo></msup></mrow></math></span>, and <span><math><mrow><mo>±</mo><msup><mn>15</mn><mo>∘</mo></msup></mrow></math></span>. Results indicate that average pedestrian walking speeds in both individual and crowd walking modes follow a similar trend as the trim angle <span><math><mi>β</mi></math></span> varies from <span><math><mrow><mo>−</mo><msup><mn>15</mn><mo>∘</mo></msup></mrow></math></span> to <span><math><msup><mn>15</mn><mo>∘</mo></msup></math></span>, with the heeling angle <span><math><mi>α</mi></math></span> at <span><math><msup><mn>0</mn><mo>∘</mo></msup></math></span>, <span><math><msup><mn>5</mn><mo>∘</mo></msup></math></span>, or <span><math><msup><mn>10</mn><mo>∘</mo></msup></math></span>. 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.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121300"},"PeriodicalIF":4.6000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An experimental study on pedestrian walking speed considering combined effect of heeling and trim\",\"authors\":\"Yong Jiang, Zihang Li, Yurou Mao, Boxuan Wang, Dawei Zhang\",\"doi\":\"10.1016/j.oceaneng.2025.121300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 <span><math><mi>α</mi></math></span> considered were <span><math><msup><mn>0</mn><mo>∘</mo></msup></math></span>, <span><math><msup><mn>5</mn><mo>∘</mo></msup></math></span>, and <span><math><msup><mn>10</mn><mo>∘</mo></msup></math></span>, while the trim angles <span><math><mi>β</mi></math></span> were <span><math><msup><mn>0</mn><mo>∘</mo></msup></math></span>, <span><math><mrow><mo>±</mo><msup><mn>10</mn><mo>∘</mo></msup></mrow></math></span>, and <span><math><mrow><mo>±</mo><msup><mn>15</mn><mo>∘</mo></msup></mrow></math></span>. Results indicate that average pedestrian walking speeds in both individual and crowd walking modes follow a similar trend as the trim angle <span><math><mi>β</mi></math></span> varies from <span><math><mrow><mo>−</mo><msup><mn>15</mn><mo>∘</mo></msup></mrow></math></span> to <span><math><msup><mn>15</mn><mo>∘</mo></msup></math></span>, with the heeling angle <span><math><mi>α</mi></math></span> at <span><math><msup><mn>0</mn><mo>∘</mo></msup></math></span>, <span><math><msup><mn>5</mn><mo>∘</mo></msup></math></span>, or <span><math><msup><mn>10</mn><mo>∘</mo></msup></math></span>. 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.</div></div>\",\"PeriodicalId\":19403,\"journal\":{\"name\":\"Ocean Engineering\",\"volume\":\"331 \",\"pages\":\"Article 121300\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ocean Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0029801825010133\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ocean Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0029801825010133","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
An experimental study on pedestrian walking speed considering combined effect of heeling and trim
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 considered were , , and , while the trim angles were , , and . Results indicate that average pedestrian walking speeds in both individual and crowd walking modes follow a similar trend as the trim angle varies from to , with the heeling angle at , , or . 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.
期刊介绍:
Ocean Engineering provides a medium for the publication of original research and development work in the field of ocean engineering. Ocean Engineering seeks papers in the following topics.