Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61378
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dc.contributor.authorNguyen, Hung Khanhen
dc.contributor.authorChiong, Raymonden
dc.contributor.authorChica, Manuelen
dc.contributor.authorMiddleton, Richard Hen
dc.date.accessioned2024-07-10T01:00:26Z-
dc.date.available2024-07-10T01:00:26Z-
dc.date.issued2021-04-
dc.identifier.citationSimulation, 97(4), p. 267-285en
dc.identifier.issn1741-3133en
dc.identifier.issn0037-5497en
dc.identifier.urihttps://hdl.handle.net/1959.11/61378-
dc.description.abstract<p>Recent large-scale migration flows from rural areas of the Mekong Delta (MKD) to larger cities in the South-East (SE) region of Vietnam have created the largest migration corridor in the country. This migration trend has further contributed to greater rural–urban disparities and widened the development gap between regions. In this study, our aim is to understand the migration dynamics and determine the most critical factors affecting the behavior of migrants in the MKD region. We present an agent-based model and incorporate the Theory of Planned Behavior to effectively break down migration intention into related components and contributing factors. A genetic algorithm is used for automated calibration and sensitivity analysis of model parameters, in order to validate our agent-based model. We further explore the migration behavior of people in certain demographic groups and delineate migration flows across cities and provinces from the MKD to the SE region.</p>en
dc.languageenen
dc.publisherSage Publications Ltden
dc.relation.ispartofSimulationen
dc.titleUnderstanding the dynamics of inter-provincial migration in the Mekong Delta, Vietnam: an agent-based modeling studyen
dc.typeJournal Articleen
dc.identifier.doi10.1177/0037549720975128en
local.contributor.firstnameHung Khanhen
local.contributor.firstnameRaymonden
local.contributor.firstnameManuelen
local.contributor.firstnameRichard Hen
local.relation.isfundedbyARCen
local.profile.schoolSchool of Science & Technologyen
local.profile.emailrchiong@une.edu.auen
local.output.categoryC1en
local.grant.numberIC140100032en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage267en
local.format.endpage285en
local.peerreviewedYesen
local.identifier.volume97en
local.identifier.issue4en
local.title.subtitlean agent-based modeling studyen
local.contributor.lastnameNguyenen
local.contributor.lastnameChiongen
local.contributor.lastnameChicaen
local.contributor.lastnameMiddletonen
dc.identifier.staffune-id:rchiongen
local.profile.orcid0000-0002-8285-1903en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61378en
local.date.onlineversion2021-01-18-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleUnderstanding the dynamics of inter-provincial migration in the Mekong Delta, Vietnamen
local.relation.fundingsourcenoteThe Spanish Ministry of Science, Andalusian Government, the National Agency for Research Funding AEI, and the ERDF (EU) under grants EXASOCO (PGC2018-101216-B-I00), AIMAR (ATIC-284-UGR18), and SIMARK (PY18-4475), and the Ramo´n y Cajal program (RYC-2016-19800).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.grantdescriptionARC/IC140100032en
local.search.authorNguyen, Hung Khanhen
local.search.authorChiong, Raymonden
local.search.authorChica, Manuelen
local.search.authorMiddleton, Richard Hen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/7881f7b6-1878-4bb0-927c-c1c8b6765110en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2021en
local.year.published2021en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/7881f7b6-1878-4bb0-927c-c1c8b6765110en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/7881f7b6-1878-4bb0-927c-c1c8b6765110en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-24en
Appears in Collections:Journal Article
School of Science and Technology
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