Abstract

The fractal nature of urban green spaces is the product of the self-organizing evolution of the complex urban system into a higher stage, and orderly patterns and complex structures of urban green spaces will tend to manifest after they develop to a certain stage. On the basis of GF1 satellite data in 2019 and three fractal models, the complexity of the forms and structures of a green space system in downtown Dalian, China, was studied. The results showed that the boundary dimension measured by the perimeter-scale model was 0.64–1.40, and the boundary dimension measured by the area-perimeter model was 1.79–1.99; these results indicate that the degree of human disturbance in green space boundaries was high, and the stability of the green space spatial structures was poor. The grid dimension measured by the area-scale model was 0.49–1.42, and the average radius dimension measured by the area-radius model was 0.35–0.76; these results indicate that the balance of the spatial distribution of green spaces was low, and the green spaces were excessively concentrated in the city center. Through comparisons of the scaling range among various types of green spaces, the characteristic range (gradient structure) of the spatial distribution of urban green spaces was found, which can reflect the maturity of green space growth and the quality of the green space layout. The gradient structure of green spaces in Dalian was characterized by three gradients, namely, 0–4000 m, 4000–8000 m, and 8000–16,000 m. The development of green spaces in the first gradient zone was the best, and the second and third gradient zones showed relatively large potential for improvement. These research results are of practical significance for guiding the planning and construction of green spaces in urban areas.

Highlights

  • Complexity is widely recognized by the scientific community as an important subject, and advanced understanding of spatial complexity has originated from studies on fractal cities

  • Chen and Liu [11] developed the information dimension based on the grid dimension, and Qin et al [12] developed a three-dimensional fractal approach based on two-dimensional fractals. rough fractal simulations and fractal dimension measurements of a large number of cities, Batty [13] found that the cities whose empirical values of urban form dimension were between 1 and 2 had an average dimension of 1.71

  • Is study treated the urban green space system as the research object and Dalian City in China was used as an example. en, three models of the boundary dimension, radius dimension, and grid dimension were used to investigate the complexity of the overall form and structure of the green space system and the development characteristics of various types of green spaces. e innovative research value of this paper lies in the use of high-resolution remote sensing data to discuss the classification and classification criteria of green space. e study compares the three types of fractal models and the fractal features of each type of green space and puts forward scientific guidance and suggestions for urban green space construction

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Summary

Introduction

Complexity is widely recognized by the scientific community as an important subject, and advanced understanding of spatial complexity has originated from studies on fractal cities. E grid dimension (box dimension) is the most widely applied metric in various Complexity disciplines, and it can measure the balance of the spatial distribution in urban land use [10]. Chen et al [24] chose “public green spaces” among green spaces when studying the fractal nature of land use forms in Changsha City, whose radius dimension was 0.8–1.0. Yu and Yuan [26] used a fractal model to calculate the spatial pattern of “green spaces for parks” in Fuzhou City, and a radius dimension of 1.23 was obtained, as well as a grid dimension of 1.27. En, three models of the boundary dimension, radius dimension, and grid dimension were used to investigate the complexity of the overall form and structure of the green space system and the development characteristics of various types of green spaces. Is study treated the urban green space system as the research object and Dalian City in China was used as an example. en, three models of the boundary dimension, radius dimension, and grid dimension were used to investigate the complexity of the overall form and structure of the green space system and the development characteristics of various types of green spaces. e innovative research value of this paper lies in the use of high-resolution remote sensing data to discuss the classification and classification criteria of green space. e study compares the three types of fractal models and the fractal features of each type of green space and puts forward scientific guidance and suggestions for urban green space construction

Research Data and Methods
Fractal Models
Figure 2
Results and Analysis
D R2 δ Tolerance scope
D D R2 δ Tolerance scope
Discussion and Conclusions
Full Text
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