Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61424
Title: Agent-based Modeling of Inter-provincial Migration in the Mekong Delta, Vietnam: A Data Analytics Approach
Contributor(s): Nguyen, Hung Khanh (author); Chiong, Raymond  (author)orcid ; Chica, Manuel (author); Middleton, Richard H (author)
Publication Date: 2018
DOI: 10.1109/ICBDAA.2018.8629751
Handle Link: https://hdl.handle.net/1959.11/61424
Abstract: 

The Mekong Delta (MKD) region in Vietnam has experienced large-scale inter-provincial migration flows. This study employs agent-based modeling to explore migration dynamics across the provinces and cities in the MKD. An agent-based model, which incorporates the Theory of Planned Behaviour into the decision-making process to effectively break down migration intention into related components, is developed to simulate how an individual makes migration decisions considering different economic, social, and environmental circumstances. Outputs of the agent-based model are calibrated via real province-level data of in-, out-, and net-migration flows in the MKD region with the use of a data analytics approach, in an attempt to validate the results produced.

Publication Type: Conference Publication
Conference Details: ICBDA IEEE 2018: Conference on Big Data and Analytics, Langkawi, Malaysia, 21st - 22nd November, 2018
Source of Publication: Proceedings of the Conference on Big Data and Analytics, p. 27-32
Publisher: IEEE
Place of Publication: United States of America
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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