@inproceedings{6a68be0b7b014cd38dce6cd18e436a36,
title = "Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time",
abstract = "As large-scale disasters are increasing in severity and frequency, agent-based modeling enables the simulation of disaster and evacuation processes, while exploring the complex interactions of disasters and human behaviors. In this paper, we employ CyberGIS-Jupyter for spatially explicit agent-based modeling to examine dynamic associations between disaster severity and evacuation processes. We find that as the disaster severity increases, the total time for all vehicles to evacuate increases as more vehicles are become stuck. We find that CyberGIS-Jupyter can simplify cyberinfrastructure access to conduct agent-based modeling of emergency evacuation while enabling intuitive sharing and presentation of model components and results and fosters the reproducibility and replicability of agent-based modeling with data- and computation-intensive geospatial problem solving.",
keywords = "Agent-Based Modeling, CyberGIS, Emergency Evacuation, Flood, Natural Disaster",
author = "Rebecca Vandewalle and Kang, {Jeon Young} and Dandong Yin and Shaowen Wang",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019 ; Conference date: 05-11-2019",
year = "2019",
month = nov,
day = "5",
doi = "10.1145/3356470.3365530",
language = "English (US)",
series = "Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019",
publisher = "Association for Computing Machinery",
pages = "28--31",
editor = "Hamdi Kavak and Joon-Seok Kim and Sarah Wise",
booktitle = "Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019",
address = "United States",
}