Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China
In monitoring of urban expansion, impervious surface data obtained via remote sensing can capture spatial details better compared to statistical data. Nevertheless, it lacks socio-economic function heterogeneity, making it still difficult to reveal the spatial multi-function expansion (SMFE) pattern...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2454411 |
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| author | Ku Gao Xiaomei Yang Zhihua Wang Yueming Liu Huifang Zhang Xiaoliang Liu Qingyang Zhang |
| author_facet | Ku Gao Xiaomei Yang Zhihua Wang Yueming Liu Huifang Zhang Xiaoliang Liu Qingyang Zhang |
| author_sort | Ku Gao |
| collection | DOAJ |
| description | In monitoring of urban expansion, impervious surface data obtained via remote sensing can capture spatial details better compared to statistical data. Nevertheless, it lacks socio-economic function heterogeneity, making it still difficult to reveal the spatial multi-function expansion (SMFE) pattern. This hampers fine-scale collaborative planning of regional functions and human-land system, especially across cities. In this study, we mapped urban land use with fine functions leveraging big geodata for the Greater Bay Area (GBA), China, during 1980–2020, and identified across-cities SMFE pattern and its ecological effects. We found that (1) across-cities SMFE exhibited a fireworks-set-off pattern, including sprawling along river in the plains between coastal port cities and inland core cities and diffusing from inland core cities on the plains to inland node cities in the mountains; (2) social-living, business-trade, and industry-production functions were sequentially primary expanding functions; (3) paddy and forest were two major land cover types encroaching upon inland cities, while coastal cities primarily suffered from losses of water. In the future, planners should focus on ecological protection of hilly and coastal areas when formulating industrial transfer policies and enhancing transport networks. Our study contributes a new, cost-effective avenue for promoting collaborative across-cities function planning and sustainable human-land system. |
| format | Article |
| id | doaj-art-1b15b18e38124ef99c4340c6606c6506 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-1b15b18e38124ef99c4340c6606c65062025-01-22T01:23:34ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-12-0118110.1080/17538947.2025.2454411Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, ChinaKu Gao0Xiaomei Yang1Zhihua Wang2Yueming Liu3Huifang Zhang4Xiaoliang Liu5Qingyang Zhang6State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaIn monitoring of urban expansion, impervious surface data obtained via remote sensing can capture spatial details better compared to statistical data. Nevertheless, it lacks socio-economic function heterogeneity, making it still difficult to reveal the spatial multi-function expansion (SMFE) pattern. This hampers fine-scale collaborative planning of regional functions and human-land system, especially across cities. In this study, we mapped urban land use with fine functions leveraging big geodata for the Greater Bay Area (GBA), China, during 1980–2020, and identified across-cities SMFE pattern and its ecological effects. We found that (1) across-cities SMFE exhibited a fireworks-set-off pattern, including sprawling along river in the plains between coastal port cities and inland core cities and diffusing from inland core cities on the plains to inland node cities in the mountains; (2) social-living, business-trade, and industry-production functions were sequentially primary expanding functions; (3) paddy and forest were two major land cover types encroaching upon inland cities, while coastal cities primarily suffered from losses of water. In the future, planners should focus on ecological protection of hilly and coastal areas when formulating industrial transfer policies and enhancing transport networks. Our study contributes a new, cost-effective avenue for promoting collaborative across-cities function planning and sustainable human-land system.https://www.tandfonline.com/doi/10.1080/17538947.2025.2454411Bay areaspatial multi-function expansionurban land usebig geodataacross cities |
| spellingShingle | Ku Gao Xiaomei Yang Zhihua Wang Yueming Liu Huifang Zhang Xiaoliang Liu Qingyang Zhang Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China International Journal of Digital Earth Bay area spatial multi-function expansion urban land use big geodata across cities |
| title | Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China |
| title_full | Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China |
| title_fullStr | Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China |
| title_full_unstemmed | Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China |
| title_short | Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China |
| title_sort | revealing the fireworks set off pattern of spatial multi function expansion across cities leveraging big geodata a case of the greater bay area china |
| topic | Bay area spatial multi-function expansion urban land use big geodata across cities |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2454411 |
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