A System-Optimization Model for Multiclass Human Migration with Migration Costs and Regulations Inspired by the Covid-19 Pandemic
G. Cappello, P. Daniele, A. Nagurney
tlooto Summary
A system-optimized network model for multiple migration classes with migration costs and regulations inspired by the Covid-19 pandemic is presented and the variational inequality formulation associated with the system- Optimization problem is derived.
Abstract
In the last several decades, the main causes of human migration have included: poverty, war and political strife, climate change, tsunamis, earthquakes, as well as economic and educational possibilities In this paper, we present a system-optimized network model for multiple migration classes with migration costs and regulations inspired by the Covid-19 pandemic We derive the variational inequality formulation associated with the system-optimization problem which consists of maximizing the total societal welfare Lagrange analysis is also performed in order to obtain a precise evaluation of the multiclass human migration phenomenon This work adds to the literature on system-optimization of human migration in the presence of regulations and with the explicit inclusion of migration costs
Citation format
CAPPELLO, G.; DANIELE, P.; NAGURNEY, A. A system-optimization model for multiclass human migration with migration costs and regulations inspired by the covid-19 pandemic. Minimax Theory and its Applications, 2021, 6.