# Predicting the role of inequalities on human mobility patterns

## TL;DR

This paper introduces a new model for predicting human mobility that accounts for inequalities in living conditions and job opportunities across cities.

## Contribution

The novelty lies in incorporating urban inequalities into mobility models, improving prediction accuracy compared to existing approaches.

## Key findings

- The model outperforms existing methods in predicting migration patterns in South Sudan.
- It also improves predictions of commuting fluxes in the United States.
- The model supports research on urban resilience and sustainability.

## Abstract

Whether in search of better trade opportunities or escaping wars, humans have always been on the move. For almost a century, mathematical models of human mobility have been instrumental in the quantification of commuting patterns and migratory fluxes. Equity is a common premise of most of these mathematical models, such that living conditions and job opportunities are assumed to be equivalent across cities. Growing inequalities in modern urban economy and pressing effects of climate change significantly strain this premise. Here, we propose a mobility model that is aware of inequalities across cities in terms of living conditions and job opportunities. Comparing results with real datasets, we show that the proposed model outperforms the state-of-the-art in predicting migration patterns in South Sudan and commuting fluxes in the United States. This model paves the way to critical research on resilience and sustainability of urban systems.