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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AbstractDisasters 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.
All Author(s) ListKuo Y.-H., Leung J.M.Y., Meng H.M., Tsoi K.K.F.
Name of Conference4th IEEE International Congress on Big Data, BigData Congress 2015
Start Date of Conference27/06/2015
End Date of Conference02/07/2015
Place of ConferenceNew York City
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by IEEE
Year2015
Month8
Day17
Pages639 - 642
ISBN9781467372787
ISSN2379-7703
LanguagesEnglish-United Kingdom
Keywordsdisaster response, emergency supplies, humanitarian logistics, mathematical modeling, mixed-integer linear programming, optimization, real-Time disaster data

Last updated on 2020-27-05 at 02:20