Intervention decision-making model for congestion caused by phubbers in one-way long subway passages

doi:10.16265/j.cnki.issn1003-3033.2024.07.1684

Abstract

Abstract:

To solve the crowd congestion problems caused by a large number of phubbers in enclosed one-way long passages in public spaces such as the subway, an intervention model was proposed to calculate the intervention critical value. Experiments were performed to analyze the behavioral characteristics of phubbers and normal pedestrians in enclosed one-way long corridors. Then, different distribution functions were used to propose a small-scale behavioral model. Furthermore, a large-scale congestion intervention decision-making model was proposed based on the proportion of phubbers and crowd density. Finally, the critical value curve between passenger density and the proportion of phubbers was validated against a one-way long passage in a Beijing subway station. The results indicated that behavioral characteristics of phubbers presented as slow following, while normal pedestrians tended to speed up and overtake whenever possible. The simulations calculated the critical value curve between the passenger's density and the phubber's proportion. If the calculated value was lower than the critical curve, it was a low-risk area without any intervention strategies. Otherwise, intervention strategies were required to avoid serious congestion.

Key words: one-way long subway passage, phubber, congestion, intervention decision-making model, crowd gathering risk

CLC Number:

X928.03事故预防与预测

WANG Meiling, HU Cheng, MA Jun. Intervention decision-making model for congestion caused by phubbers in one-way long subway passages[J]. China Safety Science Journal, 2024, 34(7): 186-193.

Figures/Tables 6

Fig.1

Fig.2

Fig.3

Table 1

Velocity transfer probability density summary

个体类别	条件	速度转移概率
non-VASP	$v * < v -$	$A 11 v [f] (v * → v) = p 1 a δ (v 1 - v 1 a) + p 1 b δ (v 1 - v 1 b), p 1 a = α ε v -, p 1 b = 1 - α ε v -$
	$v * = v -$	$A 11 v [f] (v * → v) = p 1 c δ (v 1 - v 1 c) + p 1 d δ (v 1 - v 1 d)$ , $p 1 c = α ε v -, p 1 d = 1 - α ε v -$
	$v * > v -$	$A 11 v [f] (v * → v) = δ (v 1 - v 1 e)$
VASP	$v * < v -$	$A 22 v [f] (v * → v) = p 2 a δ (v 2 - v 2 a) + p 2 b δ (v 2 - v 2 b)$ , $p 2 a = ε v - (1 - γ), p 2 b = 1 - ε v - (1 - γ)$
	$v * = v -$	$A 22 v [f] (v * → v) = p 2 c δ (v 2 - v 2 c) + p 2 d δ (v 2 - v 2 d)$ , $p 2 d = ε v - (1 - γ), p 2 d = 1 - ε v - (1 - γ)$
	$v * > v -$	$A 22 v [f] (v * → v) = δ (v 2 - v 2 e)$

Table 1

Fig.4

Fig.5

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