Name: team-hazmap
Owner: Bayes Hack 2016
Description: null
Created: 2016-04-24 15:29:46.0
Updated: 2016-04-24 16:46:02.0
Pushed: 2016-04-24 17:07:14.0
Homepage: null
Size: 1845
Language: HTML
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Team Members:
Kalai Ramea, Marios Dardas, Anastassios Dardas, Tamara Piksa, Lydia Montagnese
Usage:
HazMap aims at helping people identify the highest instance of damage caused by hazmat incidents in the United States.
Using maching learning, HazMap predicts future hazmat incidents at city level by cross-referencing the type of substance released during a given hazmat incident (explosive, flammable, etc.), type of freight transport, quantity of substance released, total capacity of the container, and total worth of the container.
The future data on HazMap has been learned from the current provided hazmat incident data (see Data Sources). Our analysis determines whether future incidents can be explained by the most common factors present in past incidents.
Data Sources:
Bayes Hack Data https://github.com/bayesimpact/bayeshack-transportation-hazmat/tree/master/data
Homeland Infrastructure Foundation-Level Data (HIFLD) https://hifld-dhs-gii.opendata.arcgis.com/datasets?group_id=ddd32025056441dfb0307a3f54f94da8
Freight Analysis Framework Data Tabulation Tool (FAF4) http://faf.ornl.gov/fafweb/Extraction2.aspx