Using GIS to Predict Human Movement Patterns in Complex Humanitarian Emergencies: A Test Case of the...

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" Using GIS to Predict Human Movement Patterns in Complex Humanitarian Emergencies: A Test Case of the Syrian Conflict "
Campbell, Colleen Fleming, Steven

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1053376
Doc. No	:	TL52493
Main Entry	:	Campbell, Colleen
Title & Author	:	Using GIS to Predict Human Movement Patterns in Complex Humanitarian Emergencies: A Test Case of the Syrian Conflict\ Campbell, ColleenFleming, Steven
College	:	University of Southern California
Date	:	2019
Degree	:	M.S.
student score	:	2019
Note	:	53 p.
Abstract	:	There are Complex Humanitarian Emergencies (CHE) happening worldwide. Currently, 68.5 million displaced persons exist around the world resulting from these CHEs. This project seeks to develop an ArcPy script for predicting movements within these crises to help government and non-government agencies manage resources. This project is intended to predict large-scale flows of people to allow agencies to prepare for an influx of displaced persons and organize shelters, food, clothing, medical personnel, and other necessities. ArcPy within ArcGIS Pro will give non-trained users an easy format to view spatially relevant processes and information about the CHE that they may be unable to share with the public. Additionally, this project looks at theoretical models of human movement that are most relevant to the circumstances of the CHE and should help speed communication between GIS and non-GIS professionals. This project uses the Syrian refugee crisis as a test case because of the large-scale movement and long duration involved.
Descriptor	:	Computer science
Added Entry	:	Fleming, Steven
Added Entry	:	University of Southern California