Agent-based modeling (ABM) has gained popularity in construction research because of its
unique system modeling features and recent advances in computing capabilities, leading to …

The frequency and intensity of both human-made and natural disasters are predicted to
increase, and hospitals play a critically important role in reducing injury and mortality rates …

Context: The selection and use of appropriate multi-criteria decision making (MCDM)
methods for solving complex problems is one of the challenging issues faced by decision …

Crowd evacuation is an area that has been studied by numerous researchers over the last
years. Many models have been developed to simulate the evacuation. However, most of the …

Abstract Using three-dimensional (3D) indoor environments in pedestrian evacuation
simulations is increasingly active. However, a systemic review that reflects the latest …

Whether it is through crisis mapping or event simulation, Artificial Intelligence (AI) is a
pioneering new method of emergency planning. It uses the analysis of information or data …

A recent challenge in life safety is to improve evacuee's performance using technology. Here
we propose an intelligent evacuation guiding system for complex buildings. It uses …

Diminished quality of life (DQL) is based on the combination of tradition risk management
methodology and Health Organisation Disability Assessment Schedule (WHODAS), which …

Big data is a challenging issue as its volume, shape, and size need to be modified in order
to extract important information for a specific purpose. The amount of data is rising with the …

Museums are of special nature because of their dynamic environment and different
audiences. These unique characteristics make evacuation process in cases of fire incidents …