Robert Gordon University, Aberdeen, UK.
University of Wolverhampton, Walsall, UK.
Hum Factors. 2019 Sep;61(6):895-905. doi: 10.1177/0018720818819384. Epub 2019 Jan 18.
To determine minimum egress apertures in healthy adults of different body size.
Body space requirements have traditionally been considered from an industrial perspective, facilitating safe confined-space working. However, increased typical body size resulting from global obesity renders traditional assumptions of body size inappropriate. This has potentially far-reaching consequences for evacuation planning, due to diminished clearance space, slower movement, and increased chance of physical entrapment. Critically, no current literature describes the minimum apertures adults can negotiate.
Forty-eight men and 40 women underwent anthropometric and 3-D scanning assessments from which anatomical dimensions were extracted. Additionally, a wall egress task was undertaken through an aperture that was progressively narrowed until individuals failed to pass. Minimum egress aperture was predicted from anatomical variables using backwards elimination regression.
Minimum wall egress was best predicted from mass, abdominal depth, bideltoid breadth and chest depth. Passes and fails, discriminated using binary logistic regression, identified chest depth and abdominal depth as influential for wall egress success at selected apertures, with a gender interaction manifest at abdominal depth.
Minimum egress aperture relates to body size and can be predicted from anatomical variables; however, men and women display subtle differences in egress capability.
In public and industrial settings, egress capability in restricted spaces is affected by size and gender, with profound implications for safety, which relate to increased typical body size associated with global obesity.
确定不同体型健康成年人的最小出口孔径。
人体空间要求一直从工业角度考虑,以确保安全的密闭空间作业。然而,全球肥胖导致的典型人体尺寸增加,使得传统的人体尺寸假设不再适用。这可能会对疏散规划产生深远的影响,因为净空空间减少、移动速度变慢以及身体被卡住的机会增加。至关重要的是,目前没有文献描述成年人可以通过的最小孔径。
48 名男性和 40 名女性接受了人体测量和 3-D 扫描评估,从中提取了解剖学尺寸。此外,通过逐渐变窄的孔径进行了墙壁出口任务,直到个体无法通过为止。使用向后消除回归法从解剖变量预测最小出口孔径。
最小的墙壁出口最好由体重、腹部深度、双肩胛宽度和胸部深度预测。使用二元逻辑回归进行区分的通过和失败,确定了胸部深度和腹部深度对选定孔径的墙壁出口成功有影响,并且在腹部深度上表现出性别交互作用。
最小出口孔径与体型相关,可以从解剖变量预测;然而,男性和女性在出口能力上显示出细微的差异。
在公共和工业环境中,受限空间的出口能力受体型和性别影响,这对安全有深远的影响,与全球肥胖相关的典型体型增加有关。