Stair/escalator/elevator selection behavior of passengers in subway stations based on the fuzzy logic theory

Zhang, Rui; Yang, Xiaoxia; Zhou, Meiqi; Li, Yongxing; Yang, Xiaoli

doi:10.1177/00375497221145645

Cited by 8 publications

(4 citation statements)

References 56 publications

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“…They investigated the relationship between pedestrian trajectories and obstacle locations. Rui Zhang et al 15 used a CA model to simulate passenger movements and employed fuzzy logic theory to describe decision-making behavior. Their simulation results provided theoretical insights for optimizing the layout of facilities on subway station platforms.…”

Section: Related Studiesmentioning

confidence: 99%

Construction and application of a simulation optimization model of auxiliary guidance signs in enclosed public places

Ma,

Xiao,

2024

SIMULATION

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Many enclosed public spaces with multiple destinations often feature obstacles, such as columns within the building space and dense crowds, which adversely affect the recognition and guidance of pedestrian sign. To mitigate this issue, enhancing traffic efficiency necessitates the implementation of auxiliary guidance signs. However, experience-based schemes for positioning these signs often require iterative adjustments to achieve the desired effect. Thus, this paper endeavors to address this challenge by analyzing the relationship between obstacles and pedestrians’ visual blind areas. It establishes a mathematical model to describe pedestrian visual perception and its correlation with crowd density and individual visual field function. The model employs the effective aggregation area of the population exceeding a certain density threshold as its primary variable and enhances this variable’s function. Subsequently, it formulates an effect function that yields a substantial improvement in various combinations and permutations of auxiliary guidance signs. To exemplify this research, a large subway transfer hall with multiple destinations serves as a simulation model. The study calculates the optimal combination of auxiliary guidance sign placements that align with the enhancement effect function. Based on this combination, an optimized layout plan is derived, resulting in a significant improvement. The results demonstrate that the auxiliary guidance sign layout scheme proposed in this study markedly enhances traffic efficiency in enclosed public spaces. This research serves as a valuable reference for decision-makers seeking to optimize traffic flow in such spaces.

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Section: Related Studiesmentioning

confidence: 99%

Construction and application of a simulation optimization model of auxiliary guidance signs in enclosed public places

Ma,

Xiao,

2024

SIMULATION

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“…Cheng et al 19 propose a pedestrian movement model to analyze passenger group dynamics and how it impacts airport check-in services. Zhang et al 20 demonstrate a cellular automata model to test and evaluate evacuations through escalators/stairs. In this model, a pedestrian can move in eight directions and relies on the virtual traces of the previous pedestrian for route choices.…”

Section: Literature Reviewmentioning

confidence: 99%

Airport evacuation under panic conditions: a microsimulation modeling applied at Ottawa International Airport

et al. 2023

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This study develops a framework of pedestrian evacuation microsimulation modeling that considers pedestrians’ social-physiological behavior in assessing an airport evacuation. The study implements social force model within a simulation platform enabling the articulation of stochastic pedestrian walking behavior realistically and reliably. It performs a sensitivity analysis of pedestrian behavior parameters to identify the candidate parameters required to capture pedestrian behavior under different levels of panic conditions. The study considers the case study of the Ottawa International Airport and tests and evaluates contrasting evacuation scenarios under low panic, medium panic, and high panic situations. Results indicate that under the low panic evacuation scenario, the pedestrians yield their movements with an increase in network bottleneck, potentially exhibit cooperative behavior, and control their speed with the rise of crowd density. On the contrary, individuals in high panic evacuation scenarios exhibit aggressive behavior indicated by their average speed, which is approximately 1.15 and 3.5 times the average compared with medium panic and low panic evacuation scenarios, respectively. Results suggest that it takes 5.38 min to evacuate 1300 passengers under high panic conditions compared with 9.75 min for a low panic evacuation scenario. However, in the case of a high panic evacuation scenario, the average speed keeps increasing even with the increase in crowd density. This framework can develop and evaluate strategies for safely evacuating the airport in the case of an emergency.

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“…Research related to passenger behavior in subway stations, specifically regarding the choice between stairs and escalators, has seen significant advancement in recent years. A recent study by Zhang et al [21] shed light on passenger selection behavior in this context. Furthermore, Li et al [22] explored the impact of height on pedestrian route selection in these stations, while Wei et al [23] focused on the optimized design of security systems.…”

Section: Existing Studies On Escalators In Urban Railway Stationsmentioning

confidence: 99%

Analyzing Escalator Infrastructures: A Pilot Study in Santiago Metro

López,

Tapia,

Seriani

2023

Applied Sciences

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The behavior of passengers in urban railway stations (i.e., metro stations) is dependent on environmental, cultural, and temporal factors. This affects how escalator infrastructures are used, with some passengers standing on one side of the steps to allow others to walk and, in other cases, others standing or walking on both sides of the steps. In this research, escalator infrastructures were studied to better understand the relationship between different conditions and passenger behaviors through a method based on video cameras, passenger detection techniques, and a simulation framework. The results indicate that passenger behavior could affect escalator infrastructure as it varies significantly depending on the time of day, type of station, local culture, and other environmental factors. The implications of these findings for the planning and design of the infrastructure of railway stations are discussed, and practical recommendations are proposed to improve the efficiency of escalator usage in urban railway stations.

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Stair/escalator/elevator selection behavior of passengers in subway stations based on the fuzzy logic theory

Cited by 8 publications

References 56 publications

Construction and application of a simulation optimization model of auxiliary guidance signs in enclosed public places

Construction and application of a simulation optimization model of auxiliary guidance signs in enclosed public places

Airport evacuation under panic conditions: a microsimulation modeling applied at Ottawa International Airport

Analyzing Escalator Infrastructures: A Pilot Study in Santiago Metro

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