Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation Approach
The spatial directionality of Millennials' migration has been underexplored. This study utilizes local spatial network autocorrelation to identify migration clusters of Millennials in a metropolitan area. The result found that Millennials migrate within an urban core and move to newer districts...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Findings Press
2021-11-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.29523 |
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| _version_ | 1849391064118460416 |
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| author | Youngbin Lee Sohyun Park Kyusik Kim Hui Jeong Ha Jinhyung Lee |
| author_facet | Youngbin Lee Sohyun Park Kyusik Kim Hui Jeong Ha Jinhyung Lee |
| author_sort | Youngbin Lee |
| collection | DOAJ |
| description | The spatial directionality of Millennials' migration has been underexplored. This study utilizes local spatial network autocorrelation to identify migration clusters of Millennials in a metropolitan area. The result found that Millennials migrate within an urban core and move to newer districts in surrounding areas. We found spatially distinct migration clusters by age group, possibly reflecting different motives through life stages. The analysis demonstrated that this method is effective for detecting migration clusters and for comparing subsets. |
| format | Article |
| id | doaj-art-87e8ed1ebd5346dbb0e45e45d20f3761 |
| institution | Kabale University |
| issn | 2652-8800 |
| language | English |
| publishDate | 2021-11-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-87e8ed1ebd5346dbb0e45e45d20f37612025-08-20T03:41:12ZengFindings PressFindings2652-88002021-11-0110.32866/001c.29523Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation ApproachYoungbin LeeSohyun ParkKyusik KimHui Jeong HaJinhyung LeeThe spatial directionality of Millennials' migration has been underexplored. This study utilizes local spatial network autocorrelation to identify migration clusters of Millennials in a metropolitan area. The result found that Millennials migrate within an urban core and move to newer districts in surrounding areas. We found spatially distinct migration clusters by age group, possibly reflecting different motives through life stages. The analysis demonstrated that this method is effective for detecting migration clusters and for comparing subsets.https://doi.org/10.32866/001c.29523 |
| spellingShingle | Youngbin Lee Sohyun Park Kyusik Kim Hui Jeong Ha Jinhyung Lee Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation Approach Findings |
| title | Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation Approach |
| title_full | Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation Approach |
| title_fullStr | Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation Approach |
| title_full_unstemmed | Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation Approach |
| title_short | Discovering Millennials’ Migration Clusters in Seoul, South Korea: A Local Spatial Network Autocorrelation Approach |
| title_sort | discovering millennials migration clusters in seoul south korea a local spatial network autocorrelation approach |
| url | https://doi.org/10.32866/001c.29523 |
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