Modeling Urban Population Dynamics and City-to-City Migration

Fuente: arXiv
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Autores principales: Prieto-Curiel, Rafael, Cabrera-Arnau, Carmen
Formato: Preprint
Publicado: 2025
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author Prieto-Curiel, Rafael
Cabrera-Arnau, Carmen
author_facet Prieto-Curiel, Rafael
Cabrera-Arnau, Carmen
contents Migration plays a crucial role in urban growth. Over time, individuals opting to relocate led to vast metropolises like London and Paris during the Industrial Revolution, Shanghai and Karachi during the last decades and thousands of smaller settlements. Here, we analyze the impact that migration has on population redistribution. We use a model of city-to-city migration as a process that occurs within a network, where the nodes represent cities, and the edges correspond to the flux of individuals. We analyze metrics characterizing the urban distribution and show how a slight preference for some destinations might result in the observed distribution of the population.
format Preprint
id arxiv_https___arxiv_org_abs_2504_01587
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Modeling Urban Population Dynamics and City-to-City Migration
Prieto-Curiel, Rafael
Cabrera-Arnau, Carmen
Physics and Society
Migration plays a crucial role in urban growth. Over time, individuals opting to relocate led to vast metropolises like London and Paris during the Industrial Revolution, Shanghai and Karachi during the last decades and thousands of smaller settlements. Here, we analyze the impact that migration has on population redistribution. We use a model of city-to-city migration as a process that occurs within a network, where the nodes represent cities, and the edges correspond to the flux of individuals. We analyze metrics characterizing the urban distribution and show how a slight preference for some destinations might result in the observed distribution of the population.
title Modeling Urban Population Dynamics and City-to-City Migration
topic Physics and Society
url https://arxiv.org/abs/2504.01587