A Computational Model of Hurricane Evacuation Decision

Yongsatianchot, N. and Marsella, S. (2019) A Computational Model of Hurricane Evacuation Decision. In: 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '20), Auckland, New Zealand, 9-13 May 2020, pp. 2062-2064. ISBN 9781450375184

Full text not currently available from Enlighten.

Publisher's URL: https://dl.acm.org/doi/10.5555/3398761.3399075


Hurricanes are devastating natural disasters. In deciding how to respond to a hurricane, in particular whether and when to evacuate, a decision-maker must weigh often highly uncertain and contradictory information about the future path and intensity of the storm. To effectively plan to help people during a hurricane, it is crucial to be able to predict and understand this evacuation decision. To this end, we propose a computational model of human sequential decision-making in response to a hurricane based on a Partial Observable Markov Decision Process (POMDP) that models concerns, uncertain beliefs about the hurricane, and future information. We evaluate the model in two ways. First, hurricane data from 2018 was used to evaluate the model's predictive ability on real data. Second, a simulation study was conducted to qualitatively evaluate the sequential aspect of the model to illustrate the role that the acquisition of future, more accurate information can play on current decision-making. The evaluation with 2018 hurricane season data shows that our proposed features are significant predictors and the model can predict the data well, within and across distinct hurricane datasets. The simulation results show that, across different setups, our model generates predictions on the sequential decisions making aspect that align with expectations qualitatively and suggests the importance of modeling information.

Item Type:Conference Proceedings
Additional Information:The work is supported by the National Science Foundation under grant no. CMMI-1638234
Glasgow Author(s) Enlighten ID:Yongsatianchot, Nutchanon and Marsella, Professor Stacy
Authors: Yongsatianchot, N., and Marsella, S.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
College of Science and Engineering

University Staff: Request a correction | Enlighten Editors: Update this record