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连通度和楼梯作为疏散路线选择的预测指标。

Isovists compactness and stairs as predictors of evacuation route choice.

机构信息

Department of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic.

Department of Geography, Ghent University, Ghent, Belgium.

出版信息

Sci Rep. 2023 Feb 20;13(1):2970. doi: 10.1038/s41598-023-29944-8.

DOI:10.1038/s41598-023-29944-8
PMID:36804996
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9940685/
Abstract

The building design is a crucial factor that can be actively adjusted and optimized to prevent human and property threats in emergency scenarios. Previous research suggests that specific building layouts may significantly influence human behaviour during evacuation. However, detailed empirical data about human behaviour in various types of buildings with different layouts are still missing and only marginal recommendations from this field are reflected in actual construction practice. In this study, desktop VR technologies were employed to study human decision-making in problematic T-intersections in the context of an emergency evacuation. More specifically, we studied fundamental attributes of buildings such as the width and length of the corridors and the presence of stairs to explore how they influence the choice of the evacuation route. The space-syntax isovist method was used to describe spatial parameters of corridors, which makes the results applicable to all buildings. Behavioural data from 208 respondents were analysed using multilevel regression models. Our results support previous claims concerning the importance of specific spatial layouts of evacuation corridors because respondents systematically chose wider and shorter corridors with visible staircases as the preferred evacuation route. The present findings further promote the ongoing discussion on the design of marked evacuation routes and building design that takes human factors into consideration.

摘要

建筑设计是一个关键因素,可以积极调整和优化,以防止紧急情况下的人员和财产威胁。先前的研究表明,特定的建筑布局可能会显著影响人员在疏散时的行为。然而,关于具有不同布局的各种类型建筑物中人员行为的详细实证数据仍然缺失,而且该领域仅反映了实际建筑实践中的一些边际建议。在这项研究中,我们使用桌面 VR 技术研究了在紧急疏散情况下,在有问题的 T 型交叉口处的人员决策。更具体地说,我们研究了建筑物的基本属性,如走廊的宽度和长度以及楼梯的存在,以探讨它们如何影响疏散路线的选择。空间句法等视线图方法用于描述走廊的空间参数,使结果适用于所有建筑物。使用多层回归模型对 208 名受访者的行为数据进行了分析。我们的研究结果支持了先前关于疏散走廊特定空间布局重要性的说法,因为受访者系统地选择了更宽、更短且有明显楼梯的走廊作为首选疏散路线。本研究结果进一步推动了关于标记疏散路线设计和考虑人员因素的建筑设计的持续讨论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/35b8c5a3c9a2/41598_2023_29944_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/0d3dae149f15/41598_2023_29944_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/d261a9560470/41598_2023_29944_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/6ec71b9bee13/41598_2023_29944_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/cde30a80aa40/41598_2023_29944_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/82541a2c193c/41598_2023_29944_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/35b8c5a3c9a2/41598_2023_29944_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/0d3dae149f15/41598_2023_29944_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/d261a9560470/41598_2023_29944_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/6ec71b9bee13/41598_2023_29944_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/cde30a80aa40/41598_2023_29944_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/82541a2c193c/41598_2023_29944_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2174/9941520/35b8c5a3c9a2/41598_2023_29944_Fig6_HTML.jpg

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