Computational Model Library

CHIME ABM Hurricane Evacuation Model (1.0.0)

The CHIME ABM was designed to investigate the dynamics of hazardous weather communication and decision making, in the context of evolving hazard forecasts and the complex modern information environment. To ensure that the model included important elements, dynamics, and interactions needed to address the questions of interest, it was conceptualized and implemented through interdisciplinary collaboration incorporating in-depth knowledge about key aspects of the system. Areas of expertise involved include hazardous weather and weather forecasting as well as hazard risk communication, information networks, vulnerability, and protective decision making. This knowledge was incorporated through interactions between the ABM research and the larger research project discussed in Morss et al. (BAMS 2017) and review of relevant literature.

CHIME ABM V1 includes a modeled world consisting of a spatially explicit geographical area of interest (e.g., the US state of Florida), a dynamic hazard that moves through that world (a hurricane), evolving forecast information about that hazard, and a multi-agent model in which different types of information related to the hazard are communicated among agents and used in protective decision making.

The version of the model described here has been developed and tested in the NetLogo modeling environment. Most of the past and current code development was done in NetLogo 5x, relying heavily on the GIS extension and maps or spatial data imported from several sources (described in the supporting documentation). V1.4 is compatible with NetLogo 6x, includes a new geographic region, and includes options for recent major hurricanes.

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Release Notes

Associated Publications

This release is out-of-date. The latest version is 1.4.0

CHIME ABM Hurricane Evacuation Model 1.0.0

The CHIME ABM was designed to investigate the dynamics of hazardous weather communication and decision making, in the context of evolving hazard forecasts and the complex modern information environment. To ensure that the model included important elements, dynamics, and interactions needed to address the questions of interest, it was conceptualized and implemented through interdisciplinary collaboration incorporating in-depth knowledge about key aspects of the system. Areas of expertise involved include hazardous weather and weather forecasting as well as hazard risk communication, information networks, vulnerability, and protective decision making. This knowledge was incorporated through interactions between the ABM research and the larger research project discussed in Morss et al. (BAMS 2017) and review of relevant literature.

CHIME ABM V1 includes a modeled world consisting of a spatially explicit geographical area of interest (e.g., the US state of Florida), a dynamic hazard that moves through that world (a hurricane), evolving forecast information about that hazard, and a multi-agent model in which different types of information related to the hazard are communicated among agents and used in protective decision making.

The version of the model described here has been developed and tested in the NetLogo modeling environment. Most of the past and current code development was done in NetLogo 5x, relying heavily on the GIS extension and maps or spatial data imported from several sources (described in the supporting documentation). V1.4 is compatible with NetLogo 6x, includes a new geographic region, and includes options for recent major hurricanes.

Version Submitter First published Last modified Status
1.4.0 Joshua Watts Wed May 29 19:07:52 2019 Tue Jul 9 21:15:20 2019 Published Peer Reviewed https://doi.org/10.25937/hbnh-af93
1.3.0 Joshua Watts Tue Sep 18 01:58:46 2018 Tue Sep 18 01:58:51 2018 Published
1.2.1 Joshua Watts Mon Sep 17 23:46:12 2018 Mon Sep 17 23:46:13 2018 Published
1.2.0 Joshua Watts Tue Jan 2 20:52:25 2018 Sun Feb 18 07:23:42 2018 Published
1.1.0 Joshua Watts Thu Aug 10 17:41:37 2017 Tue Feb 20 15:16:29 2018 Published
1.0.0 Joshua Watts Fri Mar 3 18:13:53 2017 Tue Feb 20 15:16:42 2018 Published

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