A model of population migration based on Minimum cost and maximum flow

DOI

10.2991/icmmct-17.2017.75How to use a DOI?

Keywords

AHP, Refugees Crisis, Dynamic analysis, Minimal Cost, Maximal Flow.

Abstract

In order to measure the refugee crisis, we adopt analytic hierarchy process(AHP), taking individuals themselves. Then we got a criterion to measure the refugee crisis. The results of the analytic hierarchy process are consistent with the actual situation, which shows that the selected parameters are relatively reasonable. To determine the optimal flow model, we use the min-cost max-flow algorithm to develop a reasonable flow of refugees. We set the target to be the minimum amount of death, the fastest to move and the most balanced of routes. Three strategies can be set correspondingly. The first strategy is regarded as the best, in which the number of casualties is minimal and other . Multi-objective optimization dynamic programming model was used to realize the best allocation of resources in different regions. We studied the change of three resources, accommodation, health care and food. Our result shows that the feed is the biggest consumption, followed by the capacity to house and protect. Therefore, food needs priority. When the non-governmental organizations and other refugee destinations are added, the tendency of the change becomes gentle.We considered the impact of exogenous events, such as terrorist attack. The number of entry points and the routes they must take may be changed completely. With the change of the capacity of countries, the best migration strategy will change accordingly.

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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TY  - CONF
AU  - Dan Chen
PY  - 2017/04
DA  - 2017/04
TI  - A model of population migration based on Minimum cost and maximum flow
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 352
EP  - 357
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.75
DO  - 10.2991/icmmct-17.2017.75
ID  - Chen2017/04
ER  -