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


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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 YH, Leung JMY, Meng HM, Tsoi KKF
會議名稱IEEE International Congress on Big Data
會議開始日27.06.2015
會議完結日02.07.2015
會議地點New York
會議國家/地區美國
詳細描述organized by IEEE,
出版年份2015
月份1
日期1
出版社IEEE
頁次639 - 642
電子國際標準書號978-1-4673-7278-7
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
Web of Science 學科類別Computer Science; Computer Science, Theory & Methods; Engineering; Engineering, Electrical & Electronic

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