• Facebook
  • Twitter
  • Instagram
  • Youtube
  • Linkedin
AIM Leader
  • Cover Story
  • Features
  • AIM News
  • Alumni News
  • Multimedia
  • Life At AIM
  • Contact
  • Give
Select Page
Share on FacebookShare on Twitter
Articles

Generalized Radiation Model for Human Migration

by AIM Research and Publication

Research by: Christian Alis, Erika Fille Legara & Christopher Monterola

 

Executive Summary

The movement of individuals towards cities and other areas is critical in understanding the dynamics of people, institutions, and goods in cities and other urban areas. For a long time, the gravity model has been the primary model for modeling human mobility and migration. More recently, the radiation model for human migration has been introduced, which considers the search for better jobs as the primary motivation for movement. The model used population as the proxy for job availability and the attractiveness of a city to migrants. We find this assumption as limiting—people also move for reasons that do not necessarily include searching for better jobs.

Here, we introduce a model that generalizes the radiation model to include a set of urban attributes that will serve as attractors for migrants. In particular, we include amenities (offices, schools, leisure places, etc.) as features aside from population, thereby directly modeling how each amenity contributes to the migrant’s decision of moving and their choice of destination if ever they do. Using optimization and various machine learning procedures, we capture the weights of these urban-related parameters and their causal relation with migration behavior

We find that our generalized radiation model outperforms the state-of-the-art radiation model; in fact, the best-performing models do not even include population information. This suggests that the presence and diversity of amenities already contain the information that we get from the population.

The manuscript is a breakthrough contribution to Urban Science and Social Physics, especially in understanding the complex urban dynamics of developing nations where the motivation for the movement of people significantly goes beyond economic opportunities.

 

Keywords: radiation model, machine learning, urban mobility, human migration

To cite this article:  Alis, C., Legara, E.F., & Monterola, C. (2021). Generalized radiation model for human migration. Nature Scientific Reports, 11, 22707. https://doi.org/10.1038/s41598-021-02109-1

To access this article: https://doi.org/10.1038/s41598-021-02109-1

 

About the journal

Nature Scientific Reports (NSR) is the 6th most-cited journal in the world, with more than 540,000 citations in 2020, and receives widespread attention in policy documents and the media. NSR is an open-access journal publishing original research from across all areas of the natural sciences, psychology, medicine, and engineering.

 

Journal ranking

Chartered Association of Business Schools

Academic Journal Guide 2021

Not included in ABS ranking
Scimago Journal & Country Rank SJR213
Scopus CiteScore2020: 7.1
Journal Citation Reports (Clarivate) JCI2020: 0.80

Impact Factor: 4.379

Related Articles

Faculty
December 8, 2022
An Order Allocation Methodology Based on Customer Repurchase Motivation Drivers Using Blockchain Technology
Research by: Qi Sun, Ming Dong, & Albert Tan   Executive Summary In the e-commerce market, the cost of customer acquisiti...
by AIM Research and Publication
Faculty
November 24, 2022
Portfolio Optimization Considering Behavioral Stocks with Return Scenario Generation
Research by: Michael N. Young, TJ Troy N. Chuahay, Yen-Hsien Lee, John Francis T. Diaz, Yogi Tri Prasetyo, Satria Fadil Persada, &...
by AIM Research and Publication
Centers
October 28, 2022
Re-thinking Governance in Tourism: Harnessing Tourism’s Post-Covid-19 Economic Potential
Research by: John Paolo R. Rivera, Eylla Laire M. Gutierrez, & Fernando Martin Y. Roxas Executive Summary In reviewing existin...
by AIM Research and Publication
AIM Logo

Learn how business works in Asia with the people who practice it.

  • Cover Story
  • Multimedia
  • Features
  • Life at AIM
  • AIM News
  • Contact
  • Alumni News
  • Give
Copyright © Asian Institute of Management 2021 | Privacy Policy
  • Facebook
  • Twitter
  • Instagram
  • Youtube
  • Linkedin