  Natural disasters continue to cause tremendous damage to human lives and
properties. The Philippines, due to its geographic location, is considered a
natural disaster-prone country experiencing an average of 20 tropical cyclones
annually. Understanding what factors significantly affect decision making
during crucial evacuation stages could help in making decisions on how to
prepare for disasters, how to act appropriately and strategically respond
during and after a calamity. In this work, an agent-based model for preemptive
evacuation decisions during typhoon is presented. In the model, civilians are
represented by households and their evacuation decisions were based from
calculated perceived risk. Also, rescuer and shelter manager agents were
included as facilitators during the preemptive evacuation process. National and
municipal census data were employed in the model, particularly for the
demographics of household agents. Further, geospatial data of a village in a
typhoon-susceptible municipality was used to represent the environment. The
decision to evacuate or not to evacuate depends on the agent's perceived risk
which also depends on three decision factors: characteristics of the decision
maker (CDM); capacity related factors (CRF); and hazard related factors (HRF).
Finally, the number of households who decided to evacuate or opted to stay as
influenced by the model`s decision factors were determined during simulations.
Sensitivity analysis using linear regression shows that all parameters used in
the model are significant in the evacuation decision of household agents.
