Predicting the role of inequalities on human mobility patterns.

Alain Boldini, Pietro De Lellis, Salvatore Imperatore, Rishita Das, Luis Ceferino, Manuel Heitor, Maurizio Porfiri

Abstract read

In one paragraph

Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alain BoldiniDepartment of Mechanical Engineering, New York Institute of Technology, College of Engineering and Computer Science, PO Box 8000, Northern Boulevard, Old Westbury, New York 11568, USA.ORCID https://orcid.org/0000-0003-2231-7108

Pietro De LellisDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, Naples, NA 80125, Italy.ORCID https://orcid.org/0000-0002-2656-6454

Salvatore ImperatoreDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, Naples, NA 80125, Italy.

Rishita DasCenter for Urban Science and Progress, New York University, Tandon School of Engineering, 370 Jay Street, Brooklyn, New York 11201, USA.ORCID https://orcid.org/0000-0001-9785-5109

Luis CeferinoCenter for Urban Science and Progress, New York University, Tandon School of Engineering, 370 Jay Street, Brooklyn, New York 11201, USA.ORCID https://orcid.org/0000-0003-0322-7510

Manuel HeitorCenter for Urban Science and Progress, New York University, Tandon School of Engineering, 370 Jay Street, Brooklyn, New York 11201, USA.ORCID https://orcid.org/0000-0003-2375-8642

Maurizio PorfiriCenter for Urban Science and Progress, New York University, Tandon School of Engineering, 370 Jay Street, Brooklyn, New York 11201, USA.ORCID https://orcid.org/0000-0002-1480-3539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

InequalitiesMigrationsMobility

Identifiers

PMID41567931

DOI10.1093/pnasnexus/pgaf407

PMCPMC12817215

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Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.