Investigation on the impact of walkways slope and pedestrians physical characteristics on pedestrians normal walking and jogging speeds

行人 最佳步行速度 动力行走 显著性差异 毒物控制 地形 体质指数 物理医学与康复 模拟 运输工程 计算机科学 医学 数学 统计 工程类 地理 医疗急救 病理 地图学
作者
Kayvan Aghabayk,Nasser Parishad,Nirajan Shiwakoti
出处
期刊:Safety Science [Elsevier BV]
卷期号:133: 105012-105012 被引量:34
标识
DOI:10.1016/j.ssci.2020.105012
摘要

Pedestrian’s speed is an important parameter for modelling and simulating pedestrians’ crowd movement under normal and emergency conditions. Limited studies have examined the effect of the slope of walkways on pedestrian’s speed. This study investigates the pedestrian’s normal walking and jogging speed on inclined and level walkways. Specifically, it evaluates the impact of various slopes and pedestrian’s physical characteristics (age, gender, body mass index) on pedestrian’s normal and jogging speed. A total of 1615 controlled experiments with 220 participants were conducted on three different slopes in two directions: level (0%), gentle downhill and uphill (±6%), and steep downhill and uphill (±12%) under normal walking and jogging speed conditions. The age, gender, and body mass index (BMI) of the participants were recorded. It was found that contrary to the normal walking speed, the pedestrian’s jogging speed on the steep downhill significantly decreased relative to level terrain. Under the jogging condition, the speed difference among males and females is higher as compared to the speed difference under normal walking. Likewise, the speed difference among elder and young pedestrians under jogging is almost twice the difference in speed under normal walking. The BMI significantly effects walking or jogging speed and the pedestrian’s jogging speed decreases at a faster rate than the pedestrian’s normal walking speed with an increase in BMI. Our findings suggest that due consideration needs to be given to the pedestrians’ physical characteristics, walkways slope, and selection of appropriate speed when simulating the pedestrians' crowd flow under normal and emergency conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
orixero应助大魁采纳,获得10
刚刚
1秒前
十字勋章发布了新的文献求助10
1秒前
鹏1发布了新的文献求助10
1秒前
zzzhu完成签到,获得积分10
2秒前
3秒前
3秒前
3秒前
3秒前
摘星012完成签到 ,获得积分10
3秒前
打打应助科研通管家采纳,获得10
5秒前
Jasper应助科研通管家采纳,获得10
5秒前
DAYDAY完成签到 ,获得积分10
5秒前
英俊的铭应助科研通管家采纳,获得10
5秒前
Singularity应助科研通管家采纳,获得10
5秒前
英姑应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
无花果应助科研通管家采纳,获得10
5秒前
Jasper应助科研通管家采纳,获得10
5秒前
许甜甜鸭应助科研通管家采纳,获得10
5秒前
wanci应助科研通管家采纳,获得10
5秒前
SciGPT应助科研通管家采纳,获得10
5秒前
Lucas应助科研通管家采纳,获得10
5秒前
共享精神应助科研通管家采纳,获得10
5秒前
看看看完成签到,获得积分10
5秒前
5秒前
Owen应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得30
5秒前
英俊的铭应助科研通管家采纳,获得10
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
6秒前
yanyuqing发布了新的文献求助10
6秒前
6秒前
Ranrunn发布了新的文献求助10
6秒前
7秒前
JIA发布了新的文献求助10
7秒前
qin完成签到 ,获得积分10
9秒前
倩倩0857完成签到,获得积分10
10秒前
领导范儿应助幸福猎人1991采纳,获得10
10秒前
科研gogogo发布了新的文献求助10
10秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
Interpretability and Explainability in AI Using Python 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835165
求助须知:如何正确求助?哪些是违规求助? 3377669
关于积分的说明 10499742
捐赠科研通 3097244
什么是DOI,文献DOI怎么找? 1705614
邀请新用户注册赠送积分活动 820629
科研通“疑难数据库(出版商)”最低求助积分说明 772149