Optimizing urban development through identification of urban fringe areas and construction of ecological security pattern

Urban Fringe Areas (UFA) are ecological barriers for cities, and building an Ecological Security Pattern (ESP) in these areas can promote sustainable and high-quality development of the urban environment. This paper took Beijing as an example. It used road network data to divide the grid and trained a model to determine the scope of UFA. This makes the determination of urban fringe areas more accurate. Furthermore, this study proposes an innovative framework for identifying ecological sources, "ecological sensitivity-ecological connectivity" method, and the minimum cumulative resistance model to construct a detailed ESP in these areas. The findings indicated: (1) This paper used road network data to segment the grid, which overcame the drawbacks of the traditional method and improved accuracy and reliability. (2) The quantitative analysis method was employed to construct scientific labeling data, and the urban fringe areas determination model was built and worked well. The UFA of Beijing were mainly in Shunyi, Changping, Tongzhou, Daxing and Fangshan Districts. (3) Ecological sensitivity in Beijing's UFA was relatively dispersed. A total of 28 ecological sources were identified, covering an area of 31.35km<sup>2</sup>, mainly in the northwest and adjacent to mountainous areas. (4) There were 37 ecological corridors, densely distributed in the northern and southwestern parts of Beijing's UFA, indicating two distinct partitioned states. The ESP of Beijing's UFA requires further improvement. These findings provide critical insights for sustainable urban ecological development and the optimization of ESP.

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Publication Details

Journal
Scientific Reports
Published
2026-03-24
DOI
https://doi.org/10.1038/s41598-026-44792-y
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing urban development through identification of urban fringe areas and construction of ecological security pattern

Hongpeng Zhao, Cui Jia, Xia Zhu, Yu Zhong et al.
Scientific Reports
Land Use and Ecosystem Services
article

Optimizing urban development through identification of urban fringe areas and construction of ecological security pattern

Hongpeng Zhao, Cui Jia, Xia Zhu, Yu Zhong, Tiange Zhang, Jie Cao, Yuanping Liu
article en

Abstract

Urban Fringe Areas (UFA) are ecological barriers for cities, and building an Ecological Security Pattern (ESP) in these areas can promote sustainable and high-quality development of the urban environment. This paper took Beijing as an example. It used road network data to divide the grid and trained a model to determine the scope of UFA. This makes the determination of urban fringe areas more accurate. Furthermore, this study proposes an innovative framework for identifying ecological sources, "ecological sensitivity-ecological connectivity" method, and the minimum cumulative resistance model to construct a detailed ESP in these areas. The findings indicated: (1) This paper used road network data to segment the grid, which overcame the drawbacks of the traditional method and improved accuracy and reliability. (2) The quantitative analysis method was employed to construct scientific labeling data, and the urban fringe areas determination model was built and worked well. The UFA of Beijing were mainly in Shunyi, Changping, Tongzhou, Daxing and Fangshan Districts. (3) Ecological sensitivity in Beijing's UFA was relatively dispersed. A total of 28 ecological sources were identified, covering an area of 31.35km<sup>2</sup>, mainly in the northwest and adjacent to mountainous areas. (4) There were 37 ecological corridors, densely distributed in the northern and southwestern parts of Beijing's UFA, indicating two distinct partitioned states. The ESP of Beijing's UFA requires further improvement. These findings provide critical insights for sustainable urban ecological development and the optimization of ESP.

Scientific Reports
North China Institute of Aerospace Engineering (CN)
Sustainable cities and communities
Openalex Percentile: Top 12%
Land Use and Ecosystem Services
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