Recommender System Based “Scenario-Response” Types Post-Disaster Emergency Supplies Planning

Abstract

In recent years, frequent outbreaks of unexpected natural disasters have caused great threats and losses to people’s property and personal safety. Owe to the reality that natural disaster has the characteristics of wide affecting-areas, long duration, different needs of emergency supplies and inadequate rescue resources, it is strongly important to achieve effective planning for limited emergency supplies. The questions of how to ensure that each disaster-affected area gets emergency supplies matched with its losses and all demands of emergency supplies from different disaster areas met have become critical tasks of natural disaster emergency management. Based on the necessity and urgency of the emergency supplies as well as the real-time data of the scenario evolution of the disaster, this paper proposes an algorithm which combines recommender system and social tagging with allocation management to establish “scenario-response” type’s poster-disaster emergency suppliers planning in order to reach higher performance in post-disaster recovery.