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Author (up) Anying Chen; Guofeng Su; Manchun Liang
Title Simulation of Crowd Response During Emergency Considering People's Rational and Irrational Thinking Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages
Keywords Crowd response, simulation, emergency, herd effect.
Abstract Human beings have been facing numerous emergencies which could threaten their property or even their lives in all ages. In order to learn how people respond to the emergencies like earthquakes and fire disasters, a two-stage simulation considering people?s rational thinking and irrational thinking was conducted. Results show that people?s irrational thinking, like the herd effect, could exaggerate people?s behavior of conformity, and it changes the spatial features that stronger herd effect leads to higher cohesion level. It is also worth mentioning that crowd response of condition of smaller population is harder to predict because of its instability, and the response of the very first part of people who make decisions could make great changes to the whole crowd?s response. These results could give some enlightenment on the evacuation instruction during emergencies and future research works.
Address Tsinghua University, People's Republic of China
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes Approved no
Call Number Serial 1951
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Author (up) Anying Chen; Zhongliang Huang; Manchun Liang; Guofeng Su
Title Empirical Study of Individual Evacuation Decision-making in Fire Accidents: Evacuate Intention and Herding Effect Type Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages 200-209
Keywords Fire Accidents, Evacuation Experiment, Evacuate Intention, Herding Behaviors.
Abstract People's decision of evacuating or not could greatly influence the final losses in fire accidents. In order to study people's response under emergent occasions, a fire accident evacuation drill experiment was conducted in an office building without advance notice. 113 Participants' response and their decision-making process were collected by questionnaire survey right after the experiment. In this study, we mainly focused on two aspects of people's response, including participants' evacuate intention and their herding tendency during evacuate decision-making. It is found that the classical Expected Utility Theory (EUT) has certain limitation in explaining individual's evacuation intention, but the relationship between the expected utility and the evacuation intention could be represented with a modified model based on EUT. Furthermore, the herding tendency is found to be different for the two groups of people who intend to evacuate and not to evacuate. People who firstly intend not to evacuate are more easily to form herding behavior and change their minds to evacuate. Based on these findings, models of individual evacuation intention and herding tendency for two groups of people are put forward. Simulation is conducted to investigate the effect of these two changes in people's evacuation decision-making process, and results show that they both increase the final evacuation rate, reflecting the majority's risk aversion characteristics.
Address Tsinghua University;Tsinghua University; Tsinghua University; Tsinghua University
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-19 ISBN 2411-3405 Medium
Track Analytical Modeling and Simulation Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes chenay15@mails.tsinghua.edu.cn Approved no
Call Number Serial 2220
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Author (up) Haitao Sun; Zhiru Wang; Guofeng Su; Jianguo Chen
Title Topological Structure Vulnerability Assessment of Shanghai Urban Metro Networks Type Conference Article
Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016
Volume Issue Pages
Keywords Urban Metro Networks; Vulnerability; Robustness; Target Attack; Random Failure
Abstract Topological structure vulnerability assessment approach for Urban Metro Networks (UMNS) was proposed in order to decrease the impact caused by incidents. Failure scale of stations and sections random failure and target attacks was evaluated. The results show that UMNS is more vulnerable to target attacks on stations than random failure on stations. But UMNS is less vulnerable to target attacks on sections than random failure on sections. Additionally, UMNS is more vulnerable to station failure than sections. It could be concluded as more resources should be put on big transfer stations in UMNS operation management to avoid large scale impacts. The proposed methodology is not intended to predict the occurrence of events but rather to be used a management tool. Results from the evaluation are valuable elements in planning UMNS. They can be used for network planning, further detailed hazard studies, deciding on the arrangement of emergency resources.
Address
Corporate Author Thesis
Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3401 ISBN 978-84-608-7984-22 Medium
Track Analytical Modeling and Simulation Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1341
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Author (up) Jingxian Wang; Lida Huang; Guofeng Su; Tao Chen; Chunhui Liu; Xiaomeng Wang
Title UAV and GIS Based Real-time Display System for Forest Fire Type Conference Article
Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021
Volume Issue Pages 527-535
Keywords forest fire, forest fire boundary extraction, UAV, GIS, 3D modeling
Abstract When a forest fire occurs, the commander cannot obtain information in time, and the rescue command is like groping in the dark. In order to solve the problem, this research establishes a real-time forest fire display system based on UAV and GIS. The UAV is equipped with visible light and thermal imaging cameras to transmit back forest fire scenes in real time. Based on GIS, the system can extract the boundary of the fire field through image processing and 3D modeling technology, and display various forest fire information on the screen. Through image processing and 3D modeling technology, the boundary of the fire field can be extracted and displayed on the screen. We conducted several experiments to test the accuracy and the reliability of the system. The result shows that the accuracy, reliability and real-time capability can be guaranteed in small-scale forest fires.
Address Tsinghua university; Tsinghua university; Tsinghua university; Tsinghua university; Beijing Global Safety Technology Co., Ltd.; Beijing Global Safety Technology Co., Ltd.
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-61-5 ISBN Medium
Track Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management
Notes 690069938@qq.com Approved no
Call Number ISCRAM @ idladmin @ Serial 2353
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Author (up) Pengfei Zhou; Tao Chen; Guofeng Su; Bingxu Hou; Lida Huang
Title Research on the Forecasting and Risk Analysis Method of Snowmelt Flood Type Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages 545-557
Keywords Snowmelt Flood, Daily Snowmelt, Snow Water Runoff, Risk Analysis, Forecasting Method.
Abstract Risk analysis of snowmelt flood is an urgent demand in cold highland areas. This paper focuses on the method for the rapid and reliable forecast of daily snowmelt, snow water runoff, and snowmelt flood risk. A neural network algorithm is used to calculate snow density distribution, snow depth and snow-water equivalent with the brightness temperature data. Then, daily snowmelt is predicted using the degree-day factor method with the temperature distribution. On this basis, we use the steepest descent method and Manning formula with hydrographic information to simulate snow water runoff. We also propose a method to predict the snowmelt flood risk with the geographic feature and historical flood data. The evaluated risk is compared with monitored data in the Xinjiang Autonomous Region of China, which shows good consistency. At last, we develop a risk analysis system to generate the snowmelt flood risk map and provide risk analysis service.
Address Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Beijing Global Safety Technology Co. Ltd.; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-51 ISBN 2411-3437 Medium
Track Planning, Foresight and Risk Analysis Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes zpf18@mails.tsinghua.edu.cn Approved no
Call Number Serial 2252
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Author (up) Quanlai Zhao; Guofeng Su; Hongyong Yuan
Title Fast Marching Method Applied For Emergency Evacuation in High-rise Building Fire Type Conference Article
Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015
Volume Issue Pages
Keywords Evacuation path; Fast marching method; Global potential energy field; Risk distribution
Abstract In this paper, we use the fast marching method to solve the emergency evacuation in high-rise building fire. This method is a numerical method which is used to solve the Eikonal equation in rectangular grids. As we know, building fires are very common in the world. They have caused a great deal of personnel casualty and property losses. How to reduce the casualty and ensure the life safety of trapped persons and rescuers have become the most important problem of the fire department. We carry out fire experiment and FDS simulation to research the structure fire firstly. Second, we divide the construction into 0.4m*0.4m grid. This size is a person who occupied when he is standing. After that, we use interpolation method to analyze the experiment and FDS simulation data so that we can get the risk value of each grid. At last, we calculate the global potential energy field of the scene based on the fast marching method and obtain a safest path for the trapped persons. The safest path represents the fastest-risk-decline path. In the cause of fire rescue we can provide the safest path to the trapped persons through evacuation signals of the building in order to guide them to evacuate and self-rescue.
Address
Corporate Author Thesis
Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9788271177881 Medium
Track Analytical Modelling and Simulation Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1195
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Author (up) X.L. Zhang; Jian Guo Chen; Guofeng Su; Hongyong Yuan
Title Study on source inversion technology for nuclear accidents based on gaussian puff model and ENKF Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 634-639
Keywords Gaussian distribution; Information systems; Kalman filters; Nuclear power plants; Emergency response systems; Ensemble Kalman Filter; Gaussian puff model; Nuclear accidents; Source characteristics; Source inversion; Source term estimation; Source terms; Nuclear reactor accidents
Abstract For nuclear power plant (NPP) accident, the assessment of the radiation consequences plays an important role in the emergency response system. However, the source characteristics which greatly influence thhe accuracy of the assessment result is poorly known or even unknown at the early phase of accident, wich can cause poorly understanding of the situation and delay the response activities. In this paper, source inversion technology in analyzing nuclear accidents based on Gaussian puff model and ensemble Kalman filter (EnKF) is proposed. The method is validated with simulated measurements and the results show that it can give reasonable estimations of the change in release rate and height simultaneously, though the first guess of release rate is 102 larger than the true value. The investigation of the influence of sharp change in source term shows that the method is robust to capture the sharp change, but there is a delay of response when the release height increases simultaneously.
Address Institute of Public Safety Research, Tsinghua, China
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Analytical Modelling and Simulation Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1148
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Author (up) Ying Zhao; Mengqi Yuan; Guofeng Su; Tao Chen
Title Crowd Security Detection based on Entropy Model Type Conference Article
Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015
Volume Issue Pages
Keywords Crowd mutation; crowd security; entropy; warning alarm
Abstract Identifying the terror attack, illegal public gathering or other mass events risks by utilizing cameras is an important concern both in crowd security area and in pattern recognition research area. This paper provides a physical entropy model to measure the crowd security level.The entropy model was created by identifying individuals?moving velocity and the related probability. The individuals are represented by Harris Corners in videos, thus to avoid the time-consuming human recognition task. Simulation experiment and video detection experiments were conducted, verified that in the disordered state, the entropy is higher; while in ordered state, the entropy is much lower; when the crowd security has a sudden change, the entropy will change. It was verified that the entropy is the applicable indicator of crowd security. By recognizing the entropy mutation, it is possible to automatically detect the abnormal crowd behavior and to set the warning alarm.
Address
Corporate Author Thesis
Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9788271177881 Medium
Track Analytical Modelling and Simulation Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1180
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