Volume 30 Issue 6
Dec.  2020
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FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
Citation: FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7

Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China

doi: 10.1007/s11769-020-1163-7
Funds:

Under the auspices of National Natural Science Foundation of China (No. 42001189, 41471141), Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education (No. PK2020006)

  • Received Date: 2020-01-19
  • Based on urban physical space and theory of landscape ecology, a triune assessment framework —‘size-density- morphology’—was constructed in order to analyze the spatial pattern and the scale effect of urban resilience in Shenyang of China in 2015, and to explore the main impact factors of landscape under different spatial scale backgrounds. The results show that: 1) Urban resilience is an optimal combination of the resilience of size, density, and morphology. The urban resilience of Shenyang displays scale effect; the overall resilience level increases with the increase in scale, while the spatial difference and spatial similarity tend to decrease resilience. 2) As 2 km, 1 km and 2 km are scale inflection points of average value curves for size resilience, density resilience and morphology resilience, respectively in an urban setting; the optimal scale unit of comprehensive resilience is 1 km. Choosing 1 km–2 km as the basic spatial scale better depicts overall pattern and detailed characteristics of resilience in Shenyang. The spatial amplitudes of 0.5 km and 1 km are sensitive points for spatial autocorrelation of morphology and density resilience, size, and comprehensive resilience to scale effect. 3) The major landscape factors of urban size and morphology resilience transform with scale expansion. Aggregation index (AI) has a significant impact on urban resilience at different scales; its influence increases significantly with the increase in scale. 4) The high-level area of comprehensive resilience in Shenyang is the eastern ecological corridor area, while the low value area is the peripheral extension area of the city. To promote the overall level of resilience in Shenyang, this paper argues that the construction of ecological infrastructure should be strengthened in the peripheral extension area in a balanced manner. In the city center, population and building density should be controlled; the intensity of human activities should be reduced; impetus should be placed on landscape heterogeneity; and the homogeneous expansion of the area of construction should be prevented. In the eastern ecological corridors, the exploitation of ecosystem lands should be strictly controlled, and the integrity of the green landscape patches should be maintained.
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Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China

doi: 10.1007/s11769-020-1163-7
Funds:

Under the auspices of National Natural Science Foundation of China (No. 42001189, 41471141), Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education (No. PK2020006)

Abstract: Based on urban physical space and theory of landscape ecology, a triune assessment framework —‘size-density- morphology’—was constructed in order to analyze the spatial pattern and the scale effect of urban resilience in Shenyang of China in 2015, and to explore the main impact factors of landscape under different spatial scale backgrounds. The results show that: 1) Urban resilience is an optimal combination of the resilience of size, density, and morphology. The urban resilience of Shenyang displays scale effect; the overall resilience level increases with the increase in scale, while the spatial difference and spatial similarity tend to decrease resilience. 2) As 2 km, 1 km and 2 km are scale inflection points of average value curves for size resilience, density resilience and morphology resilience, respectively in an urban setting; the optimal scale unit of comprehensive resilience is 1 km. Choosing 1 km–2 km as the basic spatial scale better depicts overall pattern and detailed characteristics of resilience in Shenyang. The spatial amplitudes of 0.5 km and 1 km are sensitive points for spatial autocorrelation of morphology and density resilience, size, and comprehensive resilience to scale effect. 3) The major landscape factors of urban size and morphology resilience transform with scale expansion. Aggregation index (AI) has a significant impact on urban resilience at different scales; its influence increases significantly with the increase in scale. 4) The high-level area of comprehensive resilience in Shenyang is the eastern ecological corridor area, while the low value area is the peripheral extension area of the city. To promote the overall level of resilience in Shenyang, this paper argues that the construction of ecological infrastructure should be strengthened in the peripheral extension area in a balanced manner. In the city center, population and building density should be controlled; the intensity of human activities should be reduced; impetus should be placed on landscape heterogeneity; and the homogeneous expansion of the area of construction should be prevented. In the eastern ecological corridors, the exploitation of ecosystem lands should be strictly controlled, and the integrity of the green landscape patches should be maintained.

FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
Citation: FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
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