  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 model for migration flow
rate in terms of the equivalent weighted wealth gradient descent has been given
where accompanying with other balance laws it can make possible to determine
wealth distribution and migration flow rate across the world. Some critical
conditions such as earthquakes, war, famine, insecurity, and more prevent the
natural transmission of wealth and lead to the intensification of
non-uniformity in wealth distribution. The increase in the equivalent weighted
wealth difference between countries leads to an enhanced legal migration rate
as well as a boosted illegal migration flow rate where it exceeds a threshold
value. The introduced nature-inspired model could significantly predict wealth
distribution as well as migration rate, which will have helped those who try to
have a world with a logical almost uniform equivalent weighted wealth
distribution and will have made the world a better place for all of the people.
