Study on Safety Evacuation Time for Passengers in Subway Station and Its Application

2013 ◽  
Vol 671-674 ◽  
pp. 2965-2969 ◽  
Author(s):  
Xiao Jun Zhou ◽  
Xue Ying Yu
Keyword(s):  
Subway Station ◽  
Evacuation Time ◽  
Passenger Flow ◽  
Traffic Capacity ◽  
Subway Train ◽  
Safety Evacuation

This paper discusses the determination of safety evacuation time for passenger and staff in subway station in accordance with passenger flow and traffic capacity of escalator and stairs in subway station, concurrently modifies the formula to calculate the safety evacuation time by means of different determination of passenger flow predicted in advance by dint of origin and destination investigation in subway station. And a proposal to consider the maximum passenger flow within every subway train departure interval is also presented in determining the evacuation time when calculating the traffic capability of escalators and stairs.

Analysis on Game Behaviors of Passengers in Emergency Evacuation in Subway Station

2011 ◽  
Vol 97-98 ◽  
pp. 576-582
Author(s):  
Ling Hong ◽  
Rui Hua Xu
Keyword(s):  
Emergency Evacuation ◽  
Subway Station ◽  
Rail Transit ◽  
Flow Volume ◽  
Evacuation Time ◽  
Passenger Flow ◽  
Emergency Event ◽  
Game Features ◽  
Special Environment ◽  
The Relationship

This paper proceeds from safety which is fundamental guarantee of rail transit sustainable development with the special environment of stations to analyze effects of passengers’ psychologies and behaviors and information of the emergency in the process of emergency evacuation, and studies the game features passengers and ‘emergency event’ and passengers in between. Firstly, single passageway is studied. Then the concept of relative density is presented, the relationship among evacuation time with passenger flow volume, running velocity of passengers, density, length and width of passageway are found out. Finally suggestions are made on contingency measures against the emergency.

scholarly journals Traffic simulation of queueing systems in the ANYLOGIC application with an example of passenger flow of the subway station

2018 ◽  
Vol 2018 (3) ◽  
Author(s):  
V. M. Antonova ◽  
◽  
N. A. Grechishkina ◽  
N. A. Kuznetsov ◽  
N. A. Sukhorukova ◽  
...  
Keyword(s):  
Traffic Simulation ◽  
Queueing Systems ◽  
Subway Station ◽  
Passenger Flow

Study on Optimization Model of Subway Train Operation Based on the Forecast of Passenger Flow

2013 ◽  
Vol 12 (22) ◽  
pp. 6940-6946
Author(s):  
He Chao-Ming ◽  
Cheng Pei-Pei ◽  
Zhang Mao ◽  
Cheng Meng-Zi ◽  
Lei Lei
Keyword(s):  
Optimization Model ◽  
Passenger Flow ◽  
Train Operation ◽  
Subway Train

scholarly journals Experimental Investigation of Air Quality in a Subway Station with Fully Enclosed Platform Screen Doors

2020 ◽  
Vol 17 (14) ◽  
pp. 5213
Author(s):  
Liping Pang ◽  
Chenyuan Yang ◽  
Xiaodong Cao ◽  
Qing Tian ◽  
Bo Li
Keyword(s):  
Air Quality ◽  
Indoor Air ◽  
Air Pollutants ◽  
Subway Station ◽  
Passenger Flow ◽  
Volatile Organic ◽  
Maximum Allowable Concentrations ◽  
Indoor Air Pollutants ◽  
Beijing China ◽  
Concentration Limits

In this study, the indoor air quality (IAQ) was investigated in a subway station with fully enclosed platform screen doors in Beijing, China. Eight indoor air pollutants, including PM2.5, PM10, SO2 (sulfur dioxide), NO2 (nitrogen dioxide), NH3 (ammonia), CO (carbon monoxide), CH2O (formaldehyde) and TVOC (total volatile organic compound), were measured for six consecutive days in October 2019. The results indicated that the IAQ in the subway station was basically stable at good levels for most times during the whole measurement period. All eight indoor air pollutants were far below their corresponding maximum allowable concentrations, except for the PM2.5 concentrations, which occasionally exceeded the concentration limits. The concentrations of indoor air pollutants in the subway station were basically within the corresponding standards. The correlation analyses showed that outdoor air pollutants have important influences on indoor air pollutants. The concentrations of PM10, PM2.5, SO2, NO2 and CO in the subway station were positively correlated with their corresponding outdoor concentrations. PM10 was statistically significantly correlated with the passenger flow and train frequency, but the other air pollutants were less impacted by the passenger flow and train frequency.

scholarly journals Soft Sensor with Deep Learning for Functional Region Detection in Urban Environments

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3348
Author(s):  
Yicao Ma ◽  
Shifeng Liu ◽  
Gang Xue ◽  
Daqing Gong
Keyword(s):  
Smart Cities ◽  
Experimental Testing ◽  
Rapid Development ◽  
Reference Value ◽  
Urban Environments ◽  
Subway Station ◽  
Functional Region ◽  
Feature Map ◽  
Passenger Flow ◽  
Subway Stations

The rapid development of urbanization has increased traffic pressure and made the identification of urban functional regions a popular research topic. Some studies have used point of interest (POI) data and smart card data (SCD) to conduct subway station classifications; however, the unity of both the model and the dataset limits the prediction results. This paper not only uses SCD and POI data, but also adds Online to Offline (OTO) e-commerce platform data, an application that provides customers with information about different businesses, like the location, the score, the comments, and so on. In this paper, these data are combined to and used to analyze each subway station, considering the diversity of data, and obtain a passenger flow feature map of different stations, the number of different types of POIs within 800 m, and the situation of surrounding OTO stores. This paper proposes a two-stage framework, to identify the functional region of subway stations. In the passenger flow stage, the SCD feature is extracted and converted to a feature map, and a ResNet model is used to get the output of stage 1. In the built environment stage, the POI and OTO features are extracted, and a deep neural network with stacked autoencoders (SAE–DNN) model is used to get the output of stage 2. Finally, the outputs of the two stages are connected and a SoftMax function is used to make the final identification of functional region. We performed experimental testing, and our experimental results show that the framework exhibits good performance and has a certain reference value in the planning of subway stations and their surroundings, contributing to the construction of smart cities.

Influence of PGV on the Internal Forces of Subway Station

2011 ◽  
Vol 90-93 ◽  
pp. 1987-1991 ◽  
Author(s):  
Hong Bing You
Keyword(s):  
Response Spectrum ◽  
Simulation Method ◽  
Peak Ground Velocity ◽  
Subway Station ◽  
Underground Structures ◽  
Peak Displacement ◽  
Time Histories ◽  
Internal Forces ◽  
Acceleration Response Spectrum

A hybrid simulation method is used to generate two group artificial ground motions that are compatible with the same acceleration response spectrum, same peak displacement and different peak ground velocity (PGV). The influences of PGV on the internal forces of subway station are studied. For the time histories with the same response spectrum and same peak displacement, the larger PGV of input motions may lead to the great plastic deformation of the soil, and then cause the larger internal forces for the most elements of subway station. The influence of PGV should be considered reasonably in determination of design ground motion parameters for underground structures.

Research on Calculation Methods of Urban Rail Transit Station Ticket Gates Load Degree

2013 ◽  
Vol 330 ◽  
pp. 569-573
Author(s):  
Chen Chen Zhang ◽  
Xu Zhang ◽  
Yan Hui Wang ◽  
Ling Xi Zhu
Keyword(s):  
Urban Rail Transit ◽  
The Other ◽  
Subway Station ◽  
Rail Transit ◽  
Calculation Methods ◽  
Passenger Flow ◽  
Urban Rail ◽  
Transit Station

There are many ticket gates at the subway station. The managers are quite careful about the load degree of the ticket gates. This paper studies two different methods to calculate the load degree of the ticket gates. One is based on the station ticket gates group as the research object, and the other one is based on the volume of passenger flow passing in and out of the station as the research object. Then we use the data investigated at Chaoyangmen station in Beijing to test and verify both of the methods. At last, we can get the conclusion that we can get the same result by the two methods, but the method of based on the volume of passenger flow passing in and out of the station is more reasonable.

Determination of the evacuation time and permeability of powder materials

1978 ◽  
Vol 17 (9) ◽  
pp. 732-735
Author(s):  
L. A. Arbuzova ◽  
R. V. Tyul'pakova ◽  
N. E. Chernykh
Keyword(s):  
Powder Materials ◽  
Evacuation Time

Shaking Table Test of Muti-Story Subway Station Considering Soil-Structure Interaction

2013 ◽  
Vol 694-697 ◽  
pp. 321-324 ◽  
Author(s):  
Shu Wei Wang ◽  
Ying Ming Zhou ◽  
Shu Yun Mi
Keyword(s):  
Seismic Waves ◽  
Shaking Table Test ◽  
Response Spectrum ◽  
Three Dimensional ◽  
Soil Surface ◽  
Shaking Table ◽  
Subway Station ◽  
Acceleration Process ◽  
Underground Structures

In this paper, a three-dimensional shaking table test of three three-span subway station model is done. Three test seismic waves were selected in this experiment, which were applied to the model. Modal analysis of the structure was done, and the determination of the acceleration of the model structure was obtained. And the law of underground structures under earthquake damage was analysis. Soil surface acceleration process and its response spectrum and strain are obtained in the different amplitudes of ground motion input case. From experiment cracks in the emergence and development of the situation were observed, and which gives recommendations for the seismic design of underground structures.

scholarly journals Study on evacuation simulation under crowd-diversion condition

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878509 ◽  
Author(s):  
Yung-Piao Chiu ◽  
Yan-Chyuan Shiau ◽  
Yi-Hsuan Lai
Keyword(s):  
Literature Review ◽  
Flow Diverter ◽  
Evacuation Simulation ◽  
Evacuation Time ◽  
Software Packages ◽  
Space Size ◽  
Crowd Evacuation ◽  
Simulation Results ◽  
Safety Evacuation ◽  
Occupant Evacuation

With the increasing number of domestic buildings, the importance of safety evacuation in case of fire in the buildings has been aware. Occupants in a building will crowd at exit(s) when they evacuate in disasters. The content of this study includes the following: (1) to conduct a literature review on severe stampedes in history, identifying the number of casualties, and to explore existing research on crowd evacuation; (2) to examine the applicability of software packages EXODUS and Unity for simulating occupant evacuation using them for simulations under identical conditions; and (3) to construct simulated evacuation environments using Unity and perform simulations with different combinations of occupant number, space size, exit size, and flow diverter size. The simulation results found that placing a flow diverter in front of the exit could reduce the evacuation time effectively. The best result was observed when the width of the door is close to the width of the flow diverter; it can reduce the evacuation time by about 25%. When more than 60 people were emptying through an exit below 120 cm width, the blocking happened regardless of whether a flow diverter was placed.

Sign in / Sign up

Export Citation Format

Share Document