A Real-Time Decision Support Tool for Disaster Response: A Mathematical Programming Approach
Refereed conference paper presented and published in conference proceedings

替代計量分析
.

其它資訊
摘要Disasters are sudden and calamitous events that can cause severe and pervasive negative impacts on society and huge human losses. Governments and humanitarian organizations have been putting tremendous efforts to avoid and reduce the negative consequences due to disasters. In recent years, information technology and big data have played an important role in disaster management. While there has been much work on disaster information extraction and dissemination, real-Time optimization for decision support for disaster response is rarely addressed in big data research. In this paper, we propose a mathematical programming approach, with real-Time disaster-related information, to optimize the post-disaster decisions for emergency supplies delivery. This decision support tool can provide rapid and effective solutions, which are essential for disaster response.
著者Kuo Y.-H., Leung J.M.Y., Meng H.M., Tsoi K.K.F.
會議名稱4th IEEE International Congress on Big Data, BigData Congress 2015
會議開始日27.06.2015
會議完結日02.07.2015
會議地點New York City
會議國家/地區美國
詳細描述organized by IEEE
出版年份2015
月份8
日期17
頁次639 - 642
國際標準書號9781467372787
國際標準期刊號2379-7703
語言英式英語
關鍵詞disaster response, emergency supplies, humanitarian logistics, mathematical modeling, mixed-integer linear programming, optimization, real-Time disaster data

上次更新時間 2021-17-01 於 00:11