The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLII-4/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W1, 83–87, 2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W1, 83–87, 2016

  29 Sep 2016

29 Sep 2016


A. R. C. Claridades, J. K. S. Villanueva, and E. G. Macatulad A. R. C. Claridades et al.
  • Department of Geodetic Engineering, College of Engineering, University of the Philippines – Diliman

Keywords: GIS, Geosimulation, Evacuation, GAMA

Abstract. Agent-Based Modeling (ABM) has recently been adopted in some studies for the modelling of events as a dynamic system given a set of events and parameters. In principle, ABM employs individual agents with assigned attributes and behaviors and simulates their behavior around their environment and interaction with other agents. This can be a useful tool in both micro and macroscale-applications. In this study, a model initially created and applied to an academic building was implemented in a dormitory. In particular, this research integrates three-dimensional Geographic Information System (GIS) with GAMA as the multi-agent based evacuation simulation and is implemented in Kalayaan Residence Hall. A three-dimensional GIS model is created based on the floor plans and demographic data of the dorm, including respective pathways as networks, rooms, floors, exits and appropriate attributes. This model is then re-implemented in GAMA. Different states of the agents and their effect on their evacuation time were then observed. GAMA simulation with varying path width was also implemented. It has been found out that compared to their original states, panic, eating and studying will hasten evacuation, and on the other hand, sleeping and being on the bathrooms will be impedances. It is also concluded that evacuation time will be halved when path widths are doubled, however it is recommended for further studies for pathways to be modeled as spaces instead of lines. A more scientific basis for predicting agent behavior in these states is also recommended for more realistic results.