Relief demand estimation for the emergency logistics in the aftermath of disasters

Lu Chung-Cheng, Timo Eccarius

研究成果: Conference contribution

摘要

In the aftermath of natural disasters, quick search-and-rescue operations, and efficient distribution of relief efforts and goods to affected areas are a top priority. However, it can be challenging to continuously process real-time information of differing reliability. That means, using it to estimate and predict type and extent of the demand for relief efforts. This paper proposes an approach for estimating the state of affected areas and predict associated relief demands and delivery times. The purpose is to account for data uncertainty typically arising under disaster circumstances, and to enable prompt adjustment of relief efforts in accordance with updated real-time information. The method's output can be used by decision makers to continuously optimize relief efforts. A numerical example based on the large-scale earthquake that occurred on September 21,1999 in Taiwan is presented.

原文English
主出版物標題Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017
編輯Anthony Chen, Tony N.N. Sze
發行者Hong Kong Society for Transportation Studies Limited
頁面677-685
頁數9
ISBN(電子)9789881581464
出版狀態Published - 2017
事件22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017 - Hong Kong, Hong Kong
持續時間: 2017 十二月 92017 十二月 11

出版系列

名字Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017

Conference

Conference22nd International Conference of Hong Kong Society for Transportation Studies: Transport and Society, HKSTS 2017
國家/地區Hong Kong
城市Hong Kong
期間17-12-0917-12-11

All Science Journal Classification (ASJC) codes

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