Effect of luggage-carrying on pedestrian flow through bottleneck: an experimental study

Deng, Qingchun; Fu, Zhijian; Li, Tao; Ma, Jian; Luo, Lin

doi:10.1080/23249935.2021.1966549

Cited by 12 publications

(3 citation statements)

References 40 publications

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“…Jian et al [14] designed a series of experiments of luggage-laden pedestrian in the stairs of transportation terminals to study the influences of luggage on the longitudinal movement of crowd. Deng et al [15] experimentally investigated the flow of luggage-carrying pedestrian through a bottleneck in both normal and emergency situations. Based on pedestrian trajectories, a dual-peaks spatial distribution of pedestrians was observed when no pedestrian carries luggage or when all pedestrians carry luggage.…”

Section: Impact Of Carried Luggage On Pessenger Crowdmentioning

confidence: 99%

Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs

Wei,

Zhao,

et al. 2024

Preprint

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In current transportation hubs, it is a common phenomenon that passengers travel with necessary wheeled-luggage or suitcases. Due to the fact that most luggage occupies certain space within dense passenger crowds with giant mass inertia, its abnormal motions, such as drifting, frequently trig unavoidable local disturbances and turbulence in surrounding pedestrian flows, further increasing security risk. While, current researches primarily concentrate on examining the impact of luggage on crowd evacuation efficiency through scenario-based experiments and analyzing the spatial characteristics of crowd distribution in surveillance videos. There still lacks of the dynamic disturbance mechanisms and crowd stability associated with the combined motion of passengers and luggage. Therefore, this study considers the luggage-laden passenger as a deformable particle, the resulting disturbance on surrounding non-luggage passengers is analyzed and quantified into a nonlinear pressure term. Subsequently, the disturbance propagation model of passenger-luggage is developed by adapting the classical Aw-Rascle traffic flow model with incorporation of the pressure term. Simulation experiments of disturbances caused by luggage drifting and retrograding validate that the proposed propagation model aligns with real-world situations in transportation hubs. Quantitively, when luggage-laden passenger drifted left, the disturbing force of left side crowd can reach a peak of 238N in the passenger density of 3.0 p/m2, and the maximum difference between the left and right sides disturbing force can reach 153N. Furthermore, it is recommended that the proposed model can be applied to crowd flow analysis and risk assessment.

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Section: Impact Of Carried Luggage On Pessenger Crowdmentioning

confidence: 99%

Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs

Wei,

Zhao,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The fundamental diagrams of various flow types were compared and showed no apparent difference with respect to the intersecting angle 90° and 180° [22]. Bottleneck experiments were also carried out to explore the pedestrian behaviours and reactions in crowded situations [23,24]. The arching phenomenon and zipper effect are typical self-organized phenomena in the type of experiment [25].…”

Section: Introductionmentioning

confidence: 99%

Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow

Luan

Liu

et al. 2022

R. Soc. open sci.

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The mechanisms of collision avoidance (CA) behaviours in interweaving pedestrian flow movements are important for pedestrian space planning and emergency management but not well understood yet. In this paper, a series of controlled interweaving pedestrian flow experiments with different densities are carried out to investigate the CA behaviours, especially CA strategy choices. Four types of CA strategies are manually identified in these experiments. Nine characteristic parameters based on the trajectory data are defined to explore the characteristics of CA behaviours. The experimental results reveal that (i) the CA behaviours change with density levels; (ii) heterogeneities can be found for individual pedestrians; (iii) the defined characteristic parameters show different statistical features for different types of CA strategies, and correlations exist between most of the parameter pairs; (iv) it usually takes 0.5–2.5 s to complete a CA process with a trajectory length of 0.5–3.5 m. A multi-nomial logit (MNL) model and a long-short-term-memory (LSTM) model are established respectively for predicting pedestrians' choices of CA strategies using the selected characteristic parameters as inputs. The modelling results prove the importance of using time-series data for pedestrian behaviour modelling, and the LSTM models show advantages over the MNL model at this point.

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“…Luo et al conducted a series of simulation experiments to explore the pedestrian arching mechanism at bottleneck in subway transit hub [16]. Deng et al studied the flow of luggagecarrying pedestrians through a bottleneck in both normal and emergency situations [17].…”

Section: Introductionmentioning

confidence: 99%

Improvement Strategy at Pedestrian Bottleneck in Subway Stations

Luo

Wang

Jiao

et al. 2022

Discrete Dynamics in Nature and Society

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The bottleneck normally refers to a narrowed region that decreases the flow, which is the key limiting factor in the pedestrian flow in the subway station. Due to the confined space, pedestrians are frequently forced to gather together at bottlenecks, which could not only limit the pedestrians’ efficiency and comfort but also cause serious crowd catastrophes such as stampedes. Optimization techniques for crowd congestion in subway stations should be investigated. This study proposed and demonstrated a set of optimization methods using conduction field experiments. The effects of passing time, traffic efficiency, speed, and density were explored using different design models. Results showed that optimization methods such as the design with a 45° funnel, broken guardrail, concaves, and column on the left had significant optimal effects. The optimization methods used in this study would help to implement bottlenecks in subway stations and provide design suggestions to subway designers.

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Effect of luggage-carrying on pedestrian flow through bottleneck: an experimental study

Cited by 12 publications

References 40 publications

Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs

Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs

Experimental and modelling studies of collision avoidance strategy choices and behavioural characteristics in interweaving pedestrian flow

Improvement Strategy at Pedestrian Bottleneck in Subway Stations

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