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Study On The Model Of Urban Emergency Rescue Force Deployment

Posted on:2009-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:M LiFull Text:PDF
GTID:2121360245472808Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
The issues of public safety in urban areas is closely related to social stability. As the general trend of urbanization in China develops, cities have been encountering more risks of accidents or disasters than ever before. Since cities in the modern time cover large area and amass vast fortunes, accidents and disasters in the city are characterized by their suddenness and diversity, thus difficult to prevent. The present mode of emergency rescue can not meet the demands put forward by the fast expansion of cities. There exists an urgent need for a thorough understanding of functions of the emergency rescue system and the optimum deployment of rescue force for a high efficiency in emergency handling.Taking a reference of traffic safety and production safety, the classification of urban accidents and disasters is performed according to their triggering factors and other major incidents. Analysis on the influencial factors in the extent of losses due to urban disasters is conducted, severity of the losses in various cities is quantified, and the relevent resource available for emergency rescue is analyzed. Based on the research achievements of emergency supplies under conditions of earthquake, a demand model of emergency rescue is set up for cities with various characteristics, and the key coefficients in the demand model are identified through analysis on the data of precausion measures. A preliminary plan for rescure force deployment is proposed and the optimum path for emergency supply is selected. A real accident at a chemical plant in Xi'an is taken as an example to perform the simulation, to show the principle of accident classification as well as demand estimation for rescue forces, and the optimum path of the rescue force dispetch is calculated.
Keywords/Search Tags:Urban disaster accident, Rescue, Rescue force demand, Optimal path choice
PDF Full Text Request
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