Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China
The rational allocation of functional areas is the foundation for addressing the sustainable development of cities. Efficient and accurate identification methods of urban functional areas are of great significance to the adjustment and testing of urban planning and industrial layout optimization. Fi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8875276 |
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| author | Jingzhong Li Xiao Xie Bingyu Zhao Xiao Xiao Jingxin Qiao Wanxia Ren |
| author_facet | Jingzhong Li Xiao Xie Bingyu Zhao Xiao Xiao Jingxin Qiao Wanxia Ren |
| author_sort | Jingzhong Li |
| collection | DOAJ |
| description | The rational allocation of functional areas is the foundation for addressing the sustainable development of cities. Efficient and accurate identification methods of urban functional areas are of great significance to the adjustment and testing of urban planning and industrial layout optimization. Firstly, by employing multisource geographic data, an identification method of urban functional areas was developed. A quantitative measurement approach of the urban functional area was then established considering the comprehensive effects of human-land, space-time, and thematic information to present the covering area of ground objects, public awareness, and empirical research. Finally, the Zhengzhou city, which locates in Henan province of central China, was used to test the method. The results show that the developed method is efficient, accurate, and universal and can identify urban functional areas quickly and accurately. We found that the overall distribution of Zhengzhou’s functional areas presents a spatial pattern of single and multimixed coordinated development. The city’s commercial functional areas and commercial-based mixed functional areas are located in the city’s central area. The green square’s function area occupies relatively low and is mainly distributed in the city’s fringe. |
| format | Article |
| id | doaj-art-c381aa046c50497ea241ca50f90a4a7f |
| institution | DOAJ |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-c381aa046c50497ea241ca50f90a4a7f2025-08-20T03:23:12ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/88752768875276Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, ChinaJingzhong Li0Xiao Xie1Bingyu Zhao2Xiao Xiao3Jingxin Qiao4Wanxia Ren5College of Urban and Environment Sciences, Xuchang University, Xuchang 461000, ChinaKey Lab of Environmental Computation and Sustainability of Liaoning Province, Shenyang 110016, ChinaKey Lab of Environmental Computation and Sustainability of Liaoning Province, Shenyang 110016, ChinaKey Lab of Environmental Computation and Sustainability of Liaoning Province, Shenyang 110016, ChinaKey Lab of Environmental Computation and Sustainability of Liaoning Province, Shenyang 110016, ChinaKey Lab of Environmental Computation and Sustainability of Liaoning Province, Shenyang 110016, ChinaThe rational allocation of functional areas is the foundation for addressing the sustainable development of cities. Efficient and accurate identification methods of urban functional areas are of great significance to the adjustment and testing of urban planning and industrial layout optimization. Firstly, by employing multisource geographic data, an identification method of urban functional areas was developed. A quantitative measurement approach of the urban functional area was then established considering the comprehensive effects of human-land, space-time, and thematic information to present the covering area of ground objects, public awareness, and empirical research. Finally, the Zhengzhou city, which locates in Henan province of central China, was used to test the method. The results show that the developed method is efficient, accurate, and universal and can identify urban functional areas quickly and accurately. We found that the overall distribution of Zhengzhou’s functional areas presents a spatial pattern of single and multimixed coordinated development. The city’s commercial functional areas and commercial-based mixed functional areas are located in the city’s central area. The green square’s function area occupies relatively low and is mainly distributed in the city’s fringe.http://dx.doi.org/10.1155/2021/8875276 |
| spellingShingle | Jingzhong Li Xiao Xie Bingyu Zhao Xiao Xiao Jingxin Qiao Wanxia Ren Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China Complexity |
| title | Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China |
| title_full | Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China |
| title_fullStr | Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China |
| title_full_unstemmed | Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China |
| title_short | Identification of Urban Functional Area by Using Multisource Geographic Data: A Case Study of Zhengzhou, China |
| title_sort | identification of urban functional area by using multisource geographic data a case study of zhengzhou china |
| url | http://dx.doi.org/10.1155/2021/8875276 |
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