A Physical Perspective to Human Migration Phenomenon
Mina Ghanbari (1), Ghader Rezazadeh (2, 3), ((1) Mechanical, Engineering Department Urmia University of Technology Urmia IRAN, (2), Mechanical Engineering Department Urmia University Urmia IRAN, (3) South Ural, State University Chelyabinsk Russian Federation)

TL;DR
This paper introduces a physics-inspired model for human migration based on wealth distribution gradients, using natural phenomena analogies to predict migration flows and wealth disparities worldwide.
Contribution
It presents a novel mathematical framework linking wealth distribution and migration flow inspired by heat transfer models, incorporating multiple societal factors and machine learning for parameter estimation.
Findings
The model can predict wealth distribution across countries.
It explains how wealth disparities influence legal and illegal migration.
Critical events increase wealth inequality and migration flows.
Abstract
This paper presents a physical perspective on the human migration phenomenon claiming that human social behaviors are somehow but not completely inspired by nature. Human displacement or migration in the world is highly affected by equivalent weighted wealth and multidimensional poverty distribution across countries. In this work, it has been shown that the equivalent weighted wealth as an important characteristic of a society can be introduced in a mathematical language in terms of a country gross productivity factor, safety and social factors, environmental and economic factors, political and healthy factors, educational and cultural factors and so on using some weights, where these weights can be determined using regression or machine learning techniques. By inspiring from the natural phenomena such as heat conduction models; heat conduction and heat convection models, a constitutive…
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Taxonomy
TopicsStatistical Mechanics and Entropy
