Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Transcending Time and Space: A Survey Methods, Uncertainty, and Development in Human Migration Prediction

Version 1 : Received: 6 April 2023 / Approved: 6 April 2023 / Online: 6 April 2023 (07:12:19 CEST)

How to cite: Pu, T.; Huang, C.; Yang, J.; Huang, M. Transcending Time and Space: A Survey Methods, Uncertainty, and Development in Human Migration Prediction. Preprints 2023, 2023040075. https://doi.org/10.20944/preprints202304.0075.v1 Pu, T.; Huang, C.; Yang, J.; Huang, M. Transcending Time and Space: A Survey Methods, Uncertainty, and Development in Human Migration Prediction. Preprints 2023, 2023040075. https://doi.org/10.20944/preprints202304.0075.v1

Abstract

As a fundamental, overall, and strategic issue facing human society, human migration is a key factor affecting the development of countries and cities given constantly changing population numbers. The fuzziness of the spatiotemporal attributes of human migration limits the pool of open-source data for human migration prediction, leading to a relative lag in human migration prediction algorithm research. This study expands the definition of human migration research, reviews the progress of research into human migration prediction, and classifies and compares human migration algorithms based on open-source data. It also explores the critical uncertainty factors restricting the development of human migration prediction. Given the effect of human migration prediction, in combination with artificial intelligence and big data technology, the paper concludes with specific suggestions and countermeasures aimed at enhancing human migration prediction research results to serve economic and social development and national strategy.

Keywords

human migration; prediction; methods; artificial intelligence; data; uncertainty

Subject

Social Sciences, Demography

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