Generalized gravity model for human migration
The gravity model (GM) analogous to Newton’s law of universal gravitation has successfully described the flow between different spatial regions, such as human migration, traffic flows, international economic trades, etc. This simple but powerful approach relies only on the ‘mass’ factor represented...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2018-01-01
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| Series: | New Journal of Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1367-2630/aade6b |
| _version_ | 1827873321918660608 |
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| author | Hye Jin Park Woo Seong Jo Sang Hoon Lee Beom Jun Kim |
| author_facet | Hye Jin Park Woo Seong Jo Sang Hoon Lee Beom Jun Kim |
| author_sort | Hye Jin Park |
| collection | DOAJ |
| description | The gravity model (GM) analogous to Newton’s law of universal gravitation has successfully described the flow between different spatial regions, such as human migration, traffic flows, international economic trades, etc. This simple but powerful approach relies only on the ‘mass’ factor represented by the scale of the regions and the ‘geometrical’ factor represented by the geographical distance. However, when the population has a subpopulation structure distinguished by different attributes, the estimation of the flow solely from the coarse-grained geographical factors in the GM causes the loss of differential geographical information for each attribute. To exploit the full information contained in the geographical information of subpopulation structure, we generalize the GM for population flow by explicitly harnessing the subpopulation properties characterized by both attributes and geography. As a concrete example, we examine the marriage patterns between the bride and the groom clans of Korea in the past. By exploiting more refined geographical and clan information, our generalized GM properly describes the real data, a part of which could not be explained by the conventional GM. Therefore, we would like to emphasize the necessity of using our generalized version of the GM, when the information on such nongeographical subpopulation structures is available. |
| first_indexed | 2024-03-12T16:35:33Z |
| format | Article |
| id | doaj.art-77ab596c9ded4d938e9e9ee8c2091133 |
| institution | Directory Open Access Journal |
| issn | 1367-2630 |
| language | English |
| last_indexed | 2024-03-12T16:35:33Z |
| publishDate | 2018-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | New Journal of Physics |
| spelling | doaj.art-77ab596c9ded4d938e9e9ee8c20911332023-08-08T14:54:59ZengIOP PublishingNew Journal of Physics1367-26302018-01-0120909301810.1088/1367-2630/aade6bGeneralized gravity model for human migrationHye Jin Park0Woo Seong Jo1Sang Hoon Lee2https://orcid.org/0000-0003-3079-5679Beom Jun Kim3Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology , D-24306 Plön, GermanyDepartment of Physics, Sungkyunkwan University , Suwon 16419, Republic of Korea; Northwestern Institute on Complex Systems (NICO) , Evanston, IL 60208, United States of America; Kellogg School of Management, Northwestern University , Evanston, IL 60208, United States of AmericaDepartment of Liberal Arts, Gyeongnam National University of Science and Technology , Jinju 52725, Republic of KoreaDepartment of Physics, Sungkyunkwan University , Suwon 16419, Republic of KoreaThe gravity model (GM) analogous to Newton’s law of universal gravitation has successfully described the flow between different spatial regions, such as human migration, traffic flows, international economic trades, etc. This simple but powerful approach relies only on the ‘mass’ factor represented by the scale of the regions and the ‘geometrical’ factor represented by the geographical distance. However, when the population has a subpopulation structure distinguished by different attributes, the estimation of the flow solely from the coarse-grained geographical factors in the GM causes the loss of differential geographical information for each attribute. To exploit the full information contained in the geographical information of subpopulation structure, we generalize the GM for population flow by explicitly harnessing the subpopulation properties characterized by both attributes and geography. As a concrete example, we examine the marriage patterns between the bride and the groom clans of Korea in the past. By exploiting more refined geographical and clan information, our generalized GM properly describes the real data, a part of which could not be explained by the conventional GM. Therefore, we would like to emphasize the necessity of using our generalized version of the GM, when the information on such nongeographical subpopulation structures is available.https://doi.org/10.1088/1367-2630/aade6bcomplex systemssocial systemscollective behavior |
| spellingShingle | Hye Jin Park Woo Seong Jo Sang Hoon Lee Beom Jun Kim Generalized gravity model for human migration New Journal of Physics complex systems social systems collective behavior |
| title | Generalized gravity model for human migration |
| title_full | Generalized gravity model for human migration |
| title_fullStr | Generalized gravity model for human migration |
| title_full_unstemmed | Generalized gravity model for human migration |
| title_short | Generalized gravity model for human migration |
| title_sort | generalized gravity model for human migration |
| topic | complex systems social systems collective behavior |
| url | https://doi.org/10.1088/1367-2630/aade6b |
| work_keys_str_mv | AT hyejinpark generalizedgravitymodelforhumanmigration AT wooseongjo generalizedgravitymodelforhumanmigration AT sanghoonlee generalizedgravitymodelforhumanmigration AT beomjunkim generalizedgravitymodelforhumanmigration |