Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time

Rebecca Vandewalle; Jeon Young Kang; Dandong Yin; Shaowen Wang

doi:10.1145/3356470.3365530

Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time

Rebecca Vandewalle, Jeon Young Kang, Dandong Yin, Shaowen Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019
Editors	Hamdi Kavak, Joon-Seok Kim, Sarah Wise
Publisher	Association for Computing Machinery, Inc
Pages	28-31
Number of pages	4
ISBN (Electronic)	9781450369565
DOIs	https://doi.org/10.1145/3356470.3365530
Publication status	Published - 5 Nov 2019
Event	2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019 - Chicago, United States Duration: 5 Nov 2019 → …

Publication series

Name	Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019

Conference

Conference	2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019
Country/Territory	United States
City	Chicago
Period	5/11/19 → …

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

Agent-Based Modeling
CyberGIS
Emergency Evacuation
Flood
Natural Disaster

Access to Document

10.1145/3356470.3365530

Cite this

Vandewalle, R., Kang, J. Y., Yin, D., & Wang, S. (2019). Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. In H. Kavak, J.-S. Kim, & S. Wise (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019 (pp. 28-31). (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3356470.3365530

Vandewalle, Rebecca ; Kang, Jeon Young ; Yin, Dandong et al. / Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019. editor / Hamdi Kavak ; Joon-Seok Kim ; Sarah Wise. Association for Computing Machinery, Inc, 2019. pp. 28-31 (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019).

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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",

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Vandewalle, R, Kang, JY, Yin, D & Wang, S 2019, Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. in H Kavak, J-S Kim & S Wise (eds), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019, Association for Computing Machinery, Inc, pp. 28-31, 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019, Chicago, United States, 5/11/19. https://doi.org/10.1145/3356470.3365530

Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. / Vandewalle, Rebecca; Kang, Jeon Young; Yin, Dandong et al.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019. ed. / Hamdi Kavak; Joon-Seok Kim; Sarah Wise. Association for Computing Machinery, Inc, 2019. p. 28-31 (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kang, Jeon Young

AU - Yin, Dandong

AU - Wang, Shaowen

PY - 2019/11/5

Y1 - 2019/11/5

N2 - 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.

AB - 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.

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ER -

Vandewalle R, Kang JY, Yin D, Wang S. Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. In Kavak H, Kim JS, Wise S, editors, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019. Association for Computing Machinery, Inc. 2019. p. 28-31. (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019). doi: 10.1145/3356470.3365530

Integrating cyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time

Abstract

Publication series

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Bibliographical note

Keywords

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