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Research on Spatial Delineation Method of Urban-Rural Fringe Combining POI and Nighttime Light Data—Taking Wuhan City as an Example

Author

Listed:
  • Jing Yu

    (Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430061, China
    These authors contributed equally to this work.)

  • Yingying Meng

    (Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430061, China
    These authors contributed equally to this work.)

  • Size Zhou

    (Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430061, China)

  • Huaiwen Zeng

    (Shenzhen Urban Space Planning and Architectural Design Co., Ltd., Shenzhen 518039, China)

  • Ming Li

    (Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430061, China)

  • Zhaoxia Chen

    (Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430061, China)

  • Yan Nie

    (Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, Wuhan 430062, China)

Abstract

The boundary delineation of the urban-rural fringe (URF) is the basic work of fine planning and governance of cities, which plays a positive role in promoting the process of global sustainable development and urban and rural integration. In the past, the delineation of URF had shortcomings such as a single selected data source, difficulty in obtaining data, and low spatial and temporal resolution. This study combines Point of Interest (POI) and Nighttime Light (NTL) data, proposes a new spatial recognition method of URF according to the characteristics of urban and rural spatial structure, and conducts empirical analysis with Wuhan as the research object, combining the information entropy of land use structure, NDVI, and population density data to verify and compare the delineation results and field verification was conducted for typical areas. The results show that (1) the fusion of POI and NTL can maximize the use of the characteristics of the differences in facility types, light intensity, and resolution between POI and NTL, compared with the urban-rural fringe boundary identified by POI, NTL or population density data alone, and it is more accurate and time-sensitive; (2) NPP and POI (fusion data of Suomi NPP-VIIRS and POI) can quantitatively identify potential central area and multi-layer structure of the city. It fluctuates between 0.2 and 0.6 in the urban core area of Wuhan and between 0.1 and 0.3 in the new town clusters, while in the URF and rural areas drops sharply to below 0.1; (3) the urban-rural fringe area of Wuhan covers a total area of 1482.35 km 2 , accounting for 17.30% of the total area of the city. Its land use types are mainly construction land, water area, and cultivated land, accounting for 40.75%, 30.03%, and 14.60% of the URF, respectively. Its NDVI and population density are at a medium level, with values of 1.630 and 2556.28 persons/km 2, respectively; (4) the double mutation law of NPP and POI in urban and rural space confirms that the URF exists objectively as a regional entity generated in the process of urban expansion, provides empirical support for the theory of urban and rural ternary structure, and has a positive reference value for the allocation of global infrastructure, industrial division, ecological function division, and other researches.

Suggested Citation

  • Jing Yu & Yingying Meng & Size Zhou & Huaiwen Zeng & Ming Li & Zhaoxia Chen & Yan Nie, 2023. "Research on Spatial Delineation Method of Urban-Rural Fringe Combining POI and Nighttime Light Data—Taking Wuhan City as an Example," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4395-:d:1084504
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    References listed on IDEAS

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    1. Shiwei Lu & Chaoyang Shi & Xiping Yang, 2019. "Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China," IJERPH, MDPI, vol. 16(23), pages 1-16, November.
    2. Jun Zhang & Xiaodie Yuan & Xueping Tan & Xue Zhang, 2021. "Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban Development," IJERPH, MDPI, vol. 18(13), pages 1-19, July.
    3. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
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