An evacuation risk assessment model for emergency traffic with consideration of urban hazard installations

被引:15
作者
Li Qiang [3 ]
Chen Xiang [3 ]
Chen Jin [1 ]
Tang Qiao [2 ]
机构
[1] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Coll Resources Sci & Technol, Beijing 100875, Peoples R China
来源
CHINESE SCIENCE BULLETIN | 2010年 / 55卷 / 10期
关键词
urban public safety; Critical Cluster Model (CCM); hazard installation; traffic evacuation risk; Geographical Information System (GIS); TRANSPORTATION;
D O I
10.1007/s11434-009-0277-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Critical Cluster Model (CCM) is an optimization model assessing the evacuation risk on the scale of neighborhoods. The static evacuation risk in the CCM is measured by Bulk Lane Demand (BLD) - an index that solely depends on network structure and population of evacuees. The advantage of the CCM is having less input parameters and with relatively smaller computational cost. Moreover, the process of risk assessment by the CCM is a global optimization process. For this reason, the CCM provides a relatively ideal solution for planning emergency traffic evacuation in open spaces. Considering that hazard installations in urban areas are becoming an increasing threat to urban safety, in the paper we proposed an evacuation risk assessment model with consideration of such installations. This model was developed on the basis of the CCM by introducing two important factors: the accident risk impact factor which was negatively correlated with distance, representing the impact of hazard installation; the evacuation direction which was under the consideration of evacuating away from the hazard installation, providing feasible evacuation routes. Finally, an application of the new model was presented for Beijing, China with the support of Geographical Information System (GIS).
引用
收藏
页码:1000 / 1006
页数:7
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