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Generalized radiation model for human migration
One of the main problems in the study of human migration is predicting how many people will migrate from one place to another. An important model used for this problem is the radiation model for human migration, which models locations as attractors whose attractiveness is moderated by distance as we...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609035/ https://www.ncbi.nlm.nih.gov/pubmed/34811415 http://dx.doi.org/10.1038/s41598-021-02109-1 |
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author | Alis, Christian Legara, Erika Fille Monterola, Christopher |
author_facet | Alis, Christian Legara, Erika Fille Monterola, Christopher |
author_sort | Alis, Christian |
collection | PubMed |
description | One of the main problems in the study of human migration is predicting how many people will migrate from one place to another. An important model used for this problem is the radiation model for human migration, which models locations as attractors whose attractiveness is moderated by distance as well as attractiveness of neighboring locations. In the model, the measure used for attractiveness is population which is a proxy for economic opportunities and jobs. However, this may not be valid, for example, in developing countries, and fails to take into account people migrating for non-economic reasons such as quality of life. Here, we extend the radiation model to include the number of amenities (offices, schools, leisure places, etc.) as features aside from population. We find that the generalized radiation model outperforms the radiation model by as much as 10.3% relative improvement in mean absolute percentage error based on actual census data five years apart. The best performing model does not even include population information which suggests that amenities already include the information that we get from population. The generalized radiation model provides a measure of feature importance thus presenting another avenue for investigating the effect of amenities on human migration. |
format | Online Article Text |
id | pubmed-8609035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86090352021-11-24 Generalized radiation model for human migration Alis, Christian Legara, Erika Fille Monterola, Christopher Sci Rep Article One of the main problems in the study of human migration is predicting how many people will migrate from one place to another. An important model used for this problem is the radiation model for human migration, which models locations as attractors whose attractiveness is moderated by distance as well as attractiveness of neighboring locations. In the model, the measure used for attractiveness is population which is a proxy for economic opportunities and jobs. However, this may not be valid, for example, in developing countries, and fails to take into account people migrating for non-economic reasons such as quality of life. Here, we extend the radiation model to include the number of amenities (offices, schools, leisure places, etc.) as features aside from population. We find that the generalized radiation model outperforms the radiation model by as much as 10.3% relative improvement in mean absolute percentage error based on actual census data five years apart. The best performing model does not even include population information which suggests that amenities already include the information that we get from population. The generalized radiation model provides a measure of feature importance thus presenting another avenue for investigating the effect of amenities on human migration. Nature Publishing Group UK 2021-11-22 /pmc/articles/PMC8609035/ /pubmed/34811415 http://dx.doi.org/10.1038/s41598-021-02109-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Alis, Christian Legara, Erika Fille Monterola, Christopher Generalized radiation model for human migration |
title | Generalized radiation model for human migration |
title_full | Generalized radiation model for human migration |
title_fullStr | Generalized radiation model for human migration |
title_full_unstemmed | Generalized radiation model for human migration |
title_short | Generalized radiation model for human migration |
title_sort | generalized radiation model for human migration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609035/ https://www.ncbi.nlm.nih.gov/pubmed/34811415 http://dx.doi.org/10.1038/s41598-021-02109-1 |
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