scholarly journals Evaluation Model of Emergency Evacuation Capacity of Subway Station Based on Grounded Theory

2019 ◽  
Vol 07 (02) ◽  
pp. 27-37
Author(s):  
Lianhua Cheng ◽  
Yuhang Gao
Keyword(s):  
Grounded Theory ◽  
Evaluation Model ◽  
Emergency Evacuation ◽  
Subway Station

scholarly journals User Experience Evaluation of Cross-Channel Consumption: Based on Grounded Theory and Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hua Yang ◽  
Huiying Wei ◽  
Xiang He ◽  
Yue Yan ◽  
Xiaoju Liu
Keyword(s):  
Neural Network ◽  
Grounded Theory ◽  
User Experience ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Theoretical Research ◽  
Evaluation Index ◽  
Channel Switching ◽  
Depth Analysis

With the rapid development of e-commerce technology, cross-channel consumption has become the mainstream mode of contemporary consumers. However, there are several problems of cross-channel consumption such as inconsistency of online and offline channel information and service, disfluency of channel switching which have brought adverse effects on user experience. The question arises here as to what factors influence user experience and how to build a scientific and effective evaluation index system. Different from previous studies based on sellers, this paper used grounded theory to analyze and summarize the evaluation index system of user experience under cross-channel consumption from the perspective of consumers. We summarized and refined four first level indexes which are “online platform attribute, offline entity attribute, channel switching attribute, and individual demand” and 13 second level indexes which are “platform operation, platform information, platform service, platform promotion, product quality, service quality, environment quality, channel consistency, channel switching cost, channel switching fluency, psychological expectation, personal interests and individual needs.” Then, we used BP neural network to build the evaluation model and trained and simulated the performance of the sample. The results show that the evaluation model has a good generalization ability and can effectively evaluate user experience under cross-channel consumption. Finally, implications and limitations are also discussed. This study helps to enrich the theoretical research on user experience and consumer behavior. It also provides targeted basis for in-depth analysis of cross-channel consumption behavior, establishment of user experience evaluation index system, and improving user experience and multichannel management of physical stores.

scholarly journals A Quantitative Approach of Subway Station Passengers’ Heterogeneity of Decision Preference Considering Personality Traits During Emergency Evacuation

2021 ◽  
Vol 13 (22) ◽  
pp. 12540
Author(s):  
Heng Wang ◽  
Zehao Jiang ◽  
Tiandong Xu ◽  
Feng Li
Keyword(s):  
Personality Traits ◽  
Random Parameter ◽  
Emergency Evacuation ◽  
Preference Heterogeneity ◽  
Subway Station ◽  
Eysenck Personality Questionnaire ◽  
Pedestrian Flow ◽  
Average Value ◽  
Crowd Density ◽  
The Relationship

Subway station emergencies are gradually increasing in China. The aim of this research is to study the effects of “Dist”, “Pedestrian flow” and “Crowd density” on the heterogeneity of passengers’ decision-making preference and explore the relationship between heterogeneity and personality. Firstly, a questionnaire of 20 emergency evacuation scenarios, that includes the Eysenck Personality Questionnaire, is designed. Secondly, the heterogeneity of passengers’ decision preference is quantified by the random parameter logit model. Finally, personality traits and influencing factors are used as abscissa and ordinate respectively, to study the relationship between personality traits and preference heterogeneity. The results show that the coefficients of “Dist”, “Pedestrian flow” and “Crowd density” are –0.101, 0.236 and –0.442 respectively, which are statistically significant. The proportion of extroverted passengers of the exit is 9% higher than that of introverted passengers when “Pedestrian flow” of the exit is greater than the average value, while the proportion of introverted passengers is 7% higher than that of extroverted passengers when “Crowd density” is smaller than the average value. The conclusion is that the three influence factors are random variables, and “Dist” shows the lowest level of heterogeneity. Extroverted passengers are more likely to follow a large crowd for evacuation, but introverted passengers are more likely to avoid crowded exits.

Passenger management strategy and evacuation in subway station under Covid-19

2021 ◽  
Author(s):  
Xiao-Xia Yang ◽  
Hai-Long Jiang ◽  
Yuan-Lei Kang ◽  
Yi Yang ◽  
Yong-Xing Li ◽  
...  
Keyword(s):  
Social Distance ◽  
Management Strategy ◽  
Emergency Evacuation ◽  
Path Selection ◽  
Subway Station ◽  
Time Interval ◽  
Flow Management ◽  
Passenger Flow ◽  
The Social ◽  
Simulation Results

Abstract Under the background of Covid-19 sweeping the world, safe and reasonable passenger flow management strategy in subway stations is an effective means to prevent the spread of virus. Based on the social force model and the minimum cost model, the movement and path selection behavior of passengers in the subway station are modeled, and a strategy for passenger flow management to maintain a safe social distance is put forward. Take Qingdao Jinggangshan Road subway station of China as the simulation scene, the validity of the simulation model is verified by comparing the measured value and simulation value of the time required for passengers from getting off the train to the ticket gate. Simulation results indicate that controlling the time interval between incoming passengers at the entrance can effectively control the social distance between passengers and reduce the risk of epidemic infection. By comparing the evacuation process of passengers under different initial densities, it is found that the greater the initial density of passengers, the longer the passengers are at risk social distance. In the process of passenger emergency evacuation, the stairs/escalators and ticket gates are bottleneck areas with high concentration of passenger density, which should be strictly disinfected many times on the basis of strictly checking the health code of incoming passengers and controlling the arrival time interval. The simulation results of this paper verify the harmfulness of passenger emergency evacuation without protective measures, and provide theoretical support for the operation and management of subway station under the epidemic situation.

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