An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering
Abstract The Greater Bay Area (GBA), which comprises Guangdong, Hong Kong, and Macao, has issues in collaboration, resource distribution, and work division. Lack of an adequate municipal cooperation plan may lead to inefficiencies, overlapping duties, and disputes that hinder regional integration an...
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Discover Computing |
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| Online Access: | https://doi.org/10.1007/s10791-025-09705-z |
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| author | Manchang Du |
| author_facet | Manchang Du |
| author_sort | Manchang Du |
| collection | DOAJ |
| description | Abstract The Greater Bay Area (GBA), which comprises Guangdong, Hong Kong, and Macao, has issues in collaboration, resource distribution, and work division. Lack of an adequate municipal cooperation plan may lead to inefficiencies, overlapping duties, and disputes that hinder regional integration and economic growth. Methodical development is necessary to review and streamline municipal operations, thereby increasing collaboration and resource sharing. This research study solves this challenge using the Fuzzy Clustering Algorithm-based Collaborative Urban Development (CUD-FCA). Collaboration and resource allocation will be maximized through the CUD-FCA, creating a more integrated and cost-effective urban agglomeration. GBA’s economic, social, and industrial similarities help the FCA cluster cities. Fuzzy clustering improves city-to-city knowledge. This knowledge helps identify each city’s primary functions, eliminating overlap and conflict. The research emphasizes collaborative urban planning and fair resource sharing to maximize the city’s potential. The fuzzy clustering technique enables data-driven urban management and decision-making. This paradigm promotes efficient, sustainable development. |
| format | Article |
| id | doaj-art-99ebdc7813404d60a804cbdb983543c6 |
| institution | Kabale University |
| issn | 2948-2992 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Computing |
| spelling | doaj-art-99ebdc7813404d60a804cbdb983543c62025-08-24T11:46:37ZengSpringerDiscover Computing2948-29922025-08-0128112610.1007/s10791-025-09705-zAn analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clusteringManchang Du0Urban Development Research Center, Party School of Zhuhai Municipal Committee of CPCAbstract The Greater Bay Area (GBA), which comprises Guangdong, Hong Kong, and Macao, has issues in collaboration, resource distribution, and work division. Lack of an adequate municipal cooperation plan may lead to inefficiencies, overlapping duties, and disputes that hinder regional integration and economic growth. Methodical development is necessary to review and streamline municipal operations, thereby increasing collaboration and resource sharing. This research study solves this challenge using the Fuzzy Clustering Algorithm-based Collaborative Urban Development (CUD-FCA). Collaboration and resource allocation will be maximized through the CUD-FCA, creating a more integrated and cost-effective urban agglomeration. GBA’s economic, social, and industrial similarities help the FCA cluster cities. Fuzzy clustering improves city-to-city knowledge. This knowledge helps identify each city’s primary functions, eliminating overlap and conflict. The research emphasizes collaborative urban planning and fair resource sharing to maximize the city’s potential. The fuzzy clustering technique enables data-driven urban management and decision-making. This paradigm promotes efficient, sustainable development.https://doi.org/10.1007/s10791-025-09705-zGuangdong-Hong Kong-Macao Greater Bay AreaCollaborative developmentFuzzy clustering algorithmUrban agglomeration |
| spellingShingle | Manchang Du An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering Discover Computing Guangdong-Hong Kong-Macao Greater Bay Area Collaborative development Fuzzy clustering algorithm Urban agglomeration |
| title | An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering |
| title_full | An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering |
| title_fullStr | An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering |
| title_full_unstemmed | An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering |
| title_short | An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering |
| title_sort | analytical framework for regional integration development in the guangdong hong kong macao greater bay area urban agglomeration using fuzzy clustering |
| topic | Guangdong-Hong Kong-Macao Greater Bay Area Collaborative development Fuzzy clustering algorithm Urban agglomeration |
| url | https://doi.org/10.1007/s10791-025-09705-z |
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