Accurately forecasting the demand for relief assistance is crucial for efficient post-disaster
relief operations. This paper presents an AI-based framework for earthquake relief demand …

After an earthquake strikes, information about relief demand and victims' location is needed
to prepare and perform an effective response as soon as possible. However, available and …

Decision making to mitigate the effects of natural hazards, such as earthquakes, has always
been a challenging subject. This is particularly the case in periods of increased seismicity …

Analyzing the uncertainties associated with disaster occurrences is critical to make effective
disaster preparedness plans. In this study, we focus on pre-positioning emergency supplies …

With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …

This paper presents a dynamic relief-demand management model for emergency logistics
operations under imperfect information conditions in large-scale natural disasters. The …

Impact-based forecasting (IBF) is a relatively new concept to implement in Malaysia. The
catastrophic effects of natural disasters such as floods can be minimized if an early …

In recent years, frequent natural disasters have brought huge losses to human lives and
property, directly affecting social stability and economic development. Since the driving …

In recent decades, several forecasting methods have been proposed so as to aid in
selecting from all optimal alternatives in the demand of emergency resources. Academic …

Risk reduction as an outcome only takes place if results of risk estimation studies are used to
develop action plans for risk-management and risk-reduction strategies. This paper …