bayeshack2016/team-hazmap

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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README

team-hazmat

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


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.