ArticlePloS one2018
Gravity and scaling laws of city to city migration.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- County-to-county migration modeling in the United States: the effects of data source and model selection.Journal of geographical systems · 2025Article
- Impact of inter-city interactions on disease scaling.Scientific reports · 2025Article
- The diaspora model for human migration.PNAS nexus · 2024Article
- Environmental health, economy, and amenities interactively drive migration patterns among China's older people.Frontiers in public health · 2024Article
- Unsupervised embedding of trajectories captures the latent structure of scientific migration.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Mobility constraints in segregation models.Scientific reports · 2023Article
- Scaling of the morphology of African cities.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Modeling international mobility using roaming cell phone traces during COVID-19 pandemic.EPJ data science · 2022Article
- Generating mobility networks with generative adversarial networks.EPJ data science · 2022Article
- A Deep Gravity model for mobility flows generation.Nature communications · 2021Article
- Sub-district level correlation between tuberculosis notifications and socio-demographic factors in Dhaka City corporation, Bangladesh.Epidemiology and infection · 2021Article
- Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic.Scientific data · 2020Article
- Predictive limitations of spatial interaction models: a non-Gaussian analysis.Scientific reports · 2020Article
- Uncovering the behaviour of road accidents in urban areas.Royal Society open science · 2020Article
- Article
- Destination choice game: A spatial interaction theory on human mobility.Scientific reports · 2019Article
- Article
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4 authors.
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Abstract
Models of human migration provide powerful tools to forecast the flow of migrants, measure the impact of a policy, determine the cost of physical and political frictions and more. Here, we analyse the migration of individuals from and to cities in the US, finding that city to city migration follows scaling laws, so that the city size is a significant factor in determining whether, or not, an individual decides to migrate and the city size of both the origin and destination play key roles in the selection of the destination. We observe that individuals from small cities tend to migrate more frequently, tending to move to similar-sized cities, whereas individuals from large cities do not migrate so often, but when they do, they tend to move to other large cities. Building upon these findings we develop a scaling model which describes internal migration as a two-step decision process, demonstrating that it can partially explain migration fluxes based solely on city size. We then consider the impact of distance and construct a gravity-scaling model by combining the observed scaling patterns with the gravity law of migration. Results show that the scaling laws are a significant feature of human migration and that the inclusion of scaling can overcome the limits of the gravity and the radiation models of human migration.
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