Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

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Real-time Response Model to Optimize Refugee Flow

Authors
Baixue Liang
Corresponding Author
Baixue Liang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.187How to use a DOI?
Keywords
Principal Component Analysis (PCA),Real-time Response Model
Abstract

Political turbulence in Syria, Afghanistan and Iraq has caused a drastic increase in Refugee flow to European countries. Also it is bringing a dilemma between protecting refugees and maintaining social stability to the major receiving countries. In this article, we developed a Real-time Response model to assess the refugee crisis after analyzing influential factors and optimize the refugee flow routes.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.187How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Baixue Liang
PY  - 2017/04
DA  - 2017/04
TI  - Real-time Response Model to Optimize Refugee Flow
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 967
EP  - 981
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.187
DO  - 10.2991/fmsmt-17.2017.187
ID  - Liang2017/04
ER  -