Yiping Zeng
ABSTRACT
With more and more people entering universities for further education, more attention is paid to the campus safety. This paper addresses the needs of campus safety. This paper starts with the framework for block division, in which based on the data from sensors, the campus is divided according to the principle of geographic layout, functional design. Each block is assigned with a manager, who takes responsibility for safety and keeps an eye on daily supervision in case of emergency. Furthermore, on basis of sensors, the data is unified in respect of port, format and sharing, in order to build dataset. With the help of connecting network, many subsystems are listed and integrated in information control system. In emergency, the data is collected and analyzed by the information control system, then important information is sent to managers for decision. In addition, Planning and procedure of campus safety is discussed. Finally, a case is studied in order to describe the response for emergency in a campus.
- Zhou Li-xin and Wang Li-fang (2006). Safety Problem in University Campus and Its Countermeasures. China Safety Science Journal, 16(3), 65.Google Scholar
- Hui Zhang and Yi Liu (2012). Key problems on fundamental science and technology integration in "Scenario-response" based on national emergency response platform system, 32(5), 947--953.Google Scholar
- C. Rasmussen and G. Johnson (2008). The Ripple Effect of Virginia Tech: Assessing the Nationwide Impact on Campus Safety and Security Policy and Practice. Midwestern Higher Education Compact.Google Scholar
- T. K. Mcgee and G. A. Gow (2012). Potential responses by on-campus university students to a university emergency alert. (in English), J Risk Res, 15(6), 693--710, doi: Google ScholarCross Ref
- L. S. Chen, "Design and Implementation of Intelligent Mobile Information System for Campus Safety Management," 2008.Google Scholar
- L. Raschid, "Information integration and dissemination for disaster data management," in International Conference on Digital Government Research: Bridging Disciplines & Domains, 2007, pp. 333--335.Google Scholar
- J. Wilson and A. Oyola-Yemaiel (2001). The evolution of emergency management and the advancement towards a profession in the United States and Florida. Safety Science, 39(1--2), 117--131.Google Scholar
- D. Petersen 1975, Safety management: A human approach. Aloray Englewood Cliffs, New Jersey.Google Scholar
- X. Wang, L. Yi, Z. Hui, Q. Ma, and Z. Cao (2017). Public Health Emergency Management and Multi-Source Data Technology in China. Intelligent Automation & Soft Computing, 1--8.Google Scholar
- M. Kobes, I. Helsloot, B. de Vries, and J. G. Post (2010). Building safety and human behaviour in fire: A literature review. Fire Safety J, 45(1), 1--11 Google ScholarCross Ref
- A. Johansson and D. Helbing (2008). From Crowd Dynamics to Crowd Safety: A Video-Based Analysis. (in English), Adv Complex Syst, 11(4), 497--527, doi: Google ScholarCross Ref
- D. Hampton (2012). Capability Assessment for Readiness (CAR). Prehospital & Disaster Medicine, 15(Suppl 2), S36--S36.Google Scholar
- Tong Ruipeng, Gao Ping, Liu Xin, Li Chunxu, Wan haiyan and Deng Kai (2014). Research on model and method of accident risk assessment in large-scale activities., 24(3), 150--155.Google Scholar
- Qin Liqiang and Dong Ting (2009). Some Thoughts on Promoting the Socialization of Public Safety Management in Large-scale Event. Journal of Chinese Peoples Public Security University (Social Sciences Edition), (2), 20--26.Google Scholar
- D. Helbing, I. Farkas, and T. Vicsek (2000). Simulating dynamical features of escape panic. Nature, 407(6803), 487--490.Google ScholarCross Ref
- J. A. Jensen (2010). Emergency management policy: Predicting National Incident Management System (NIMS) implementation behavior. Dissertations & Theses - Gradworks.Google Scholar
- F. M. Quincy 2004, National Response Plan.Google Scholar
- Fang Weicheng (2007). Advisement and suggestion to scientific problems of emergency management for public incidents. China Science Foundation, 21(2), 71--76.Google Scholar
- X. Wang, X. Luo, and J. Chen, "Social Sentiment Detection of Event via Microblog," in IEEE International Conference on Computational Science & Engineering, 2013.Google Scholar
- Q. Deng, L. Yi, Z. Hui, X. Deng, and Y. Ma (2016). A new crowdsourcing model to assess disaster using microblog data in typhoon Haiyan. Natural Hazards Journal of the International Society for the Prevention & Mitigation of Natural Hazards, 84(2), 1--16.Google Scholar
Index Terms
- Information system and management for campus safety
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