Emergency resource planning by using spatial data association rule mining and linear programming method

摘要：

Spatial attributes are important factors that affect the whole process of emergency events.However,studies on this subject have not sufficiently been carried out.This paper presents a new idea that incorporates spatial predicates describing the spatial relationships between emergency locations and surrounding objects into emergency event analysis.Furthemore,a multi-level spatial data association algorithm is developed to realize knowledge discovery for emergency event analysis. Traditional linear programming model failed to give reasonable weight for different emergency events ocured in different locations.While this paper uses spatial data assocation rules which detect how spatial attributes affect emergency events as the weighting mechanism for different spots,Based on such method,we finally propose a linear programming method that realize emergency resource planning in a new perspective.

关键词： Spatial data association rule emergency resource planning weighting mechanism

作者: Bo Fan1 Jinhong Li

作者单位: School of International and Public Affairs,Shanghai Jiaotong University,Shanghai,China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 613-617

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）