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Study On The Community Emergency Evacuation Risk Considering The Safe Export Distance

Posted on:2018-09-09Degree:MasterType:Thesis
Country:ChinaCandidate:W Y HongFull Text:PDF
GTID:2322330518466802Subject:Transportation planning and management
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With the development of social productivity in the country and region,the progress of science and technology and the adjustment of industrial structure,the urbanization is becoming faster and the urban community has become the first choice for people to settle and live for a long time.According to incomplete statistics,about 50% of China's population Living in the urban community,community planning,construction and construction of community residents to ensure the safety of life and property an important factor.Due to the density of urban communities and the infectivity of emergencies,so that the relevant departments of the community's self-evacuation capacity and relative emergency programs increasingly attention.For the community's large-scale population and property transfer behavior,must be in advance of the community road network in each of the road to have a certain understanding of the ability to evacuate,while the evacuation of the accident under the direction of a certain grasp,therefore,the study of emergency evacuation And the risk of evacuation is essential.In the current study on emergency evacuation,the critical cluster model(CCM)proposed by Cova and Church is a promising development model.In the emergency evacuation,the number of trapped persons who will be rescued is combined with the current evacuation path The evacuation risk assessment of the whole area of the road network is obtained by finding the maximum risk of the node in the road network by finding the maximum risk cluster of the node in the road area.For the evacuation process of personnel behavior patterns and large-scale evacuation groups on the direction of the blind blindness and randomness,we use theoretical analysis and mathematical modeling method to calculate the risk of each road within the community,for emergencies of the emergency evacuation to provide theoretical basis and technical support.CCM introduces a small number of parameters,its essence is in the local optimization based on the process of global optimization,emergency evacuation risk assessment is a reliable model.In view of the important role of emergency evacuation in the protection of urban community security,taking into account the importance of evacuating the location and distance of community safety in the evacuation process,this study is based on CCM,by considering the safe exit position The relationship between the evacuation risk and the distance between the evacuation population and the safe exit is analyzed,that is,the evacuation population is closer to the safe exit of the evacuation.The evacuation risk is closely related to the distance between the evacuation population and the safe exit.The lower the risk,the CCM to be improved.Considering the influence of the multi-faceted safety exit setting on the evacuation route selection,this paper introduces the single-source multi-directional shortest distance algorithm,which combines the factors of distance into the static model.These improvements extend the application of CCM in regional emergency traffic evacuation risk assessment.Finally,with the support of GIS,a simple model application is carried out for the actual road traffic network.GIS can visualize the information with spatial features.At the same time,because of the computational function of the mapping software used in GIS application,the data of large data is invalid.This paper will use VC ++ instead of MapBasic to realize the direction adjustment and risk calculation after topology establishment.The risk index will help the relevant management of the road reconstruction and emergency traffic command program development,for the community multi-directional shelter to implement different rescue programs to provide a scientific basis.
Keywords/Search Tags:CCM, Safe exit distance, Evacuation risk, GIS
PDF Full Text Request
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