Cityint Advanced Research Center Suzhou

Suzhou, China

Cityint Advanced Research Center Suzhou

Suzhou, China
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Liu C.,Hefei University of Technology | Liu C.,Cityint Advanced Research Center Suzhou | Song W.,Hefei University of Technology | Fu L.,Hefei University of Technology | And 5 more authors.
Physica A: Statistical Mechanics and its Applications | Year: 2017

Controlled experiments were conducted to clarify the movement characteristics of pedestrians in direction changing processes. We track pedestrians’ trajectories and map them into real space coordinates by the direct linear transformation method. In the acceleration process, the relaxation time and free moving speed in our experiments respectively equal 0.659 s and 1.540 m/s, which are consistent with those for Chinese participants in other experiments. Meanwhile, the values of relaxation time in the direction changing process are calculated by a derived equation from the concept of the social force model. It is observed that the relaxation time is not an invariable parameter, and tends to increase with an increase in the angular difference. Furthermore, results show that pedestrians are insensitive to a tiny angular difference between instantaneous velocity and desired velocity. These experimental results presented in this work can be applied in model development and validation. © 2016 Elsevier B.V.

Wang J.H.,Hefei University of Technology | Wang J.H.,Cityint Advanced Research Center Suzhou | Sun J.H.,Hefei University of Technology | Sun J.H.,Cityint Advanced Research Center Suzhou | And 4 more authors.
Procedia Engineering | Year: 2011

The accelerating process of urbanization has brought on rapid development of urban scale, building structure, human activities and social environment, etc. Such process has undoubtedly enriched people's lives, but meanwhile, the urban fire situation has also attracted more and more attention. One important reason is that in urban areas the major fires have become much more frequency than ever before and the economic damage as well as the casualties caused by urban fires is also much huger. In this paper, based on the original fire data recorded by fire fighting departments, the urban fire distribution characteristics on temporal and spatial scales of some typical Chinese cities which present different urbanization features are analyzed. Besides, some major causes of urban fires occurrence are illustrated. The results of this paper are hoped to provide some scientific supports for the fire planning in Chinese cities. © 2011 Published by Elsevier Ltd.

Wang J.,Hefei University of Technology | Wang J.,Cityint Advanced Research Center Suzhou | Lo S.,Cityint Advanced Research Center Suzhou | Lo S.,City University of Hong Kong | And 5 more authors.
Risk Analysis | Year: 2013

Crowd density is a key factor that influences the moving characteristics of a large group of people during a large-scale evacuation. In this article, the macro features of crowd flow and subsequent rescue strategies were considered, and a series of characteristic crowd densities that affect large-scale people movement, as well as the maximum bearing density when the crowd is extremely congested, were analyzed. On the basis of characteristic crowd densities, the queuing theory was applied to simulate crowd movement. Accordingly, the moving characteristics of the crowd and the effects of typical crowd density-which is viewed as the representation of the crowd's arrival intensity in front of the evacuation passageways-on rescue strategies was studied. Furthermore, a "risk axle of crowd density" is proposed to determine the efficiency of rescue strategies in a large-scale evacuation, i.e., whether the rescue strategies are able to effectively maintain or improve evacuation efficiency. Finally, through some rational hypotheses for the value of evacuation risk, a three-dimensional distribution of the evacuation risk is established to illustrate the risk axle of crowd density. This work aims to make some macro, but original, analysis on the risk of large-scale crowd evacuation from the perspective of the efficiency of rescue strategies. © 2012 Society for Risk Analysis.

Tian S.W.,Cityint Advanced Research Center Suzhou | Yu A.Y.,City University of Hong Kong | Vogel D.,City University of Hong Kong | Kwok R.C.-W.,City University of Hong Kong
International Journal of Networking and Virtual Organisations | Year: 2011

Relying on social integration theory, this paper develops a conceptual model to explain how college students' online social networking (i.e., using Facebook) influences their social and academic social integration, and learning outcomes. Several rounds of focus group discussions were conducted to explore college students' current online social networking experience and their attitude toward using Facebook for education. Our findings indicate that students' online social networking is straightforwardly influential to their social learning, while its influence on the academic learning might be realised through a gradual and longitudinal process. Copyright © 2011 Inderscience Enterprises Ltd.

Fu L.,Hefei University of Technology | Fu L.,Cityint Advanced Research Center Suzhou | Song W.,Hefei University of Technology | Lv W.,Hefei University of Technology | And 2 more authors.
Physica A: Statistical Mechanics and its Applications | Year: 2014

Emotion plays an important role in the decision-making of individuals in some emergency situations. The contagion of emotion may induce either normal or abnormal consolidated crowd behavior. This paper aims to simulate the dynamics of emotional contagion among crowds by modifying the epidemiological SIR model to a cellular automaton approach. This new cellular automaton model, entitled the "CA-SIRS model", captures the dynamic process 'susceptible- infected-recovered-susceptible', which is based on SIRS contagion in epidemiological theory. Moreover, in this new model, the process is integrated with individual movement. The simulation results of this model show that multiple waves and dynamical stability around a mean value will appear during emotion spreading. It was found that the proportion of initial infected individuals had little influence on the final stable proportion of infected population in a given system, and that infection frequency increased with an increase in the average crowd density. Our results further suggest that individual movement accelerates the spread speed of emotion and increases the stable proportion of infected population. Furthermore, decreasing the duration of an infection and the probability of reinfection can markedly reduce the number of infected individuals. It is hoped that this study will be helpful in crowd management and evacuation organization. © 2014 Elsevier B.V. All rights reserved.

Wang J.-H.,Hefei University of Technology | Wang J.-H.,Cityint Advanced Research Center Suzhou | Lo S.-M.,Cityint Advanced Research Center Suzhou | Lo S.-M.,City University of Hong Kong | And 5 more authors.
Simulation | Year: 2012

A small amount of literature has been produced on the study of panic spread in a large-scale emergency evacuation, especially that which involves rescue guidance. In a large-scale evacuation action, there are complicated interactions between people and the disaster environment, and it is very difficult to present such interactions in quantitative functions or specific values. In this paper, a qualitatively simulated approach to model and study the panic spread is proposed. First, the internal structure of the evacuation system is described and various internal and external phenomena related to the change of evacuees' behaviors in the evacuation process are qualitatively interpreted. Based on the qualitative knowledge, a qualitative simulation model of a large-scale evacuation system is established. The calculation results of inverse group matrix verify the rationality and stability of our model. According to the implementation of a series of scenarios with different input, some uncertainty factors that can affect the panic spread in the evacuation process are analyzed, in which the spread of disaster, the rescue guidance, and the normal emotional evacuees are mainly considered. This model reproduces a well-known phenomenon in crowd evacuation, namely "fast is slow", and confirms that the severity of disaster exponentially positively correlates with the panic spread, and the effectiveness of rescue guidance is influenced by the leading emotion in the crowds as a whole. © 2012 The Society for Modeling and Simulation International.

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