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

International Journal of Environmental Research and Public Health · 7 authors, 3 centres

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TL;DR

This study developed a method to delineate the urban-rural fringe (URF) in Wuhan by fusing nighttime light and point-of-interest data, finding a URF area of 1482.35 km² (17.30% of the city). The method improves accuracy over single data sources but is limited to a single city and a single time point.

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BACKGROUND

The urban-rural fringe (URF) is a critical transitional zone for planning and governance, but its delineation is challenging due to limitations in traditional data sources like administrative boundaries and population statistics. Methods: The study used Wuhan City as a case study, fusing NPP-VIIRS nighttime light data (500m resolution) and POI data (345,861 points) to create a composite index. A breaking point analysis method was applied to 180 transects to identify inner and outer boundaries of the URF. Results were validated using land use structure information entropy, NDVI, and field surveys. Key Results: The URF was identified as 1482.35 km², accounting for 17.30% of Wuhan's total area. It exhibited a 'six axes, two rings' spatial pattern. The composite index showed a double mutation law: a sharp decline from the urban core to the URF, and a sharp increase in cumulative area from the URF to rural areas. Validation confirmed the URF had higher land use entropy (1.630) and intermediate NDVI (0.523) compared to urban core and rural areas. Limitations: The study is limited to a single city (Wuhan) and a single time point (2020), and the method's applicability to other cities with different development levels is untested. The composite index has low values in natural areas, making it difficult to reflect internal spatial structure. Implications: The method provides a more accurate and timely way to delineate URFs compared to using single data sources, which could assist in urban planning and governance. However, further research is needed to test its universality and to simulate URF changes over time.

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other

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public health

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ORIGINAL PAPER

PMC10001591

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

International Journal of Environmental Research and Public Health

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ABSTRACT

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. Keywords: NPP and POI composite index, urban-rural fringe, breaking point analysis method, urban and rural spatial structure

CITATION EXPORT

Jing Yu, Yingying Meng, Size Zhou et al.. Research on Spatial Delineation Method of Urban-Rural Fringe Combining POI and Nighttime Light Data—Taking Wuhan City as an Example. International Journal of Environmental Research and Public Health. (2023). https://doi.org/10.3390/ijerph20054395

AUTHORS

7 · 3 CENTRES

Jing Yu, Yingying Meng, Size Zhou, Huaiwen Zeng, Ming Li, Zhaoxia Chen, Yan Nie

1Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430061, China
2Shenzhen Urban Space Planning and Architectural Design Co., Ltd., Shenzhen 518039, China
3Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, Wuhan 430062, China

Jing Yu, Yingying Meng, Size Zhou et al.. Research on Spatial Delineation Method of Urban-Rural Fringe Combining POI and Nighttime Light Data—Taking Wuhan City as an Example. International Journal of Environmental Research and Public Health. (2023). https://doi.org/10.3390/ijerph20054395