Evidence map›Paper›PMID 34811415›Full record

ArticleScientific reports2021

Generalized radiation model for human migration.

Christian Alis, Erika Fille Legara, Christopher Monterola

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 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

3 authors.

Christian AlisAnalytics, Computing and Complex Systems Laboratory (ACCeSs@AIM), Asian Institute of Management, 123 Paseo De Roxas, Makati City, 1229, Philippines. calis@aim.edu.
Erika Fille LegaraAnalytics, Computing and Complex Systems Laboratory (ACCeSs@AIM), Asian Institute of Management, 123 Paseo De Roxas, Makati City, 1229, Philippines.
Christopher MonterolaAnalytics, Computing and Complex Systems Laboratory (ACCeSs@AIM), Asian Institute of Management, 123 Paseo De Roxas, Makati City, 1229, Philippines.

Funding

Philippine Council for Industry, Energy, and Emerging Technology Research and Development 08501, 2020
6 · The paper itself

Abstract

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.

Indexed as

Human MigrationModels, TheoreticalNeighborhood CharacteristicsHumansPopulation DensityPopulation GrowthQuality of LifeSocioeconomic FactorsUrbanization

Identifiers

PMID34811415
PMCPMC8609035

What OpenQuestion holds

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Registered trials

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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.