Mining the Urban Sprawl Pattern: A Case Study on Sunan, China

Ma, Ronghua; Gu, Chaolin; Pu, Yingxia; Ma, Xinping

doi:10.3390/s8106371

Cited by 28 publications

(32 citation statements)

References 24 publications

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“…The dynamic process of urbanization has led to fundamental changes resulting in various impacts on the structure, functions, and dynamics of ecological systems at a wide range of scales (Luck and Wu, 2002;Charles et al, 2005;Ma et al, 2008). Much research has addressed urban growth, and especially the concept of urban sprawl (Ewing, 1997;Hasse and Lathrop, 2003).…”

Section: Introductionmentioning

confidence: 99%

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Sun¹,

Wu²,

Lv³

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

188

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Section: Introductionmentioning

confidence: 99%

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Sun¹,

Wu²,

Lv³

et al. 2013

International Journal of Applied Earth Observation and Geoinfor

188

View full text Add to dashboard Cite

“…There are three methods can be used to calculate the fractal dimension of urban spatial morphology: the first is area-perimeter method, which characterizes the complexity of the shapes of urban boundary (Tannier and Pumain, 2005;Fan et al, 2009); the second is the radius method, which indicates that the attenuation features of spatial distribution departing from the center of the urban to its periphery (Riitters et al, 1995;Frankhauser, 1998;Ma et al, 2008); the third is the box-counting method, which analyzes the overall pattern of urban land use (Benguigui et al, 2000;Shen, 2002;Feng, 2003).…”

Section: D Fractal Dimensionmentioning

confidence: 99%

“…The commonly used methods and indi-ces include compactness index (Ma et al, 2008;Fan et al, 2009), sprawl intensity (Cai et al, 2007;Fan et al, 2009), spatial metrics (Huang et al, 2007;Pham et al, 2011;, gradient analysis (Zhang et al, 2004) and fractal dimension (Shen, 2002;Herold et al, 2003;Ma et al, 2008). These methods have been used to elaborate the spatial-temporal characteristics of urban growth by analyzing the intensity and speed of expansion, as well as the anisotropy and spatial heterogeneity of expansion.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of three-dimensional urban expansion: A case study of Yangzhou City, Jiangsu Province, China

et al. 2014

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Abstract:With rapid urban development in China in the last two decades, the three-dimensional (3D) characteristic has been the main feature of urban morphology. However, the vast majority of researches of urban growth have focused on the planar area (two-dimensional (2D)) expansion. Few studies have been conducted from a 3D perspective. In this paper, the 3D urban expansion of the Yangzhou City, Jiangsu Province, China from 2003 to 2012 was evaluated based on Geographical Information System (GIS) tools and high-resolution remote sensing images. Four indices, namely weighted average height of buildings, volume of buildings, 3D expansion intensity and 3D fractal dimension are used to quantify the 3D urban expansion. The weighted average height of buildings and the volume of buildings are used to illustrate the temporal change of the 3D urban morphology, while the other two indices are used to calculate the expansion intensity and the fractal dimension of the 3D urban morphology. The results show that the spatial distribution of the high-rise buildings in Yangzhou has significantly spread and the utilization of the 3D space of Yangzhou has become more efficient and intensive. The methods proposed in this paper laid a foundation for a wide range of study of 3D urban morphology changes.

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“…Also, socio-economic changes were discussed in the fractal dimension studies [54,55] while no quantitative relationships had been established. Due to convenient transportation, flat terrain and better ecological environment people choose to live near the sea, and most urban areas are located near coastal zones.…”

Section: Factors Associated With Built-up Land Expansion Patternsmentioning

confidence: 99%

Characterizing Factors Associated with Built-Up Land Expansion in Urban and Non-Urban Areas from a Morphological Perspective

Zhang

Xiao

et al. 2017

Sustainability

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Abstract:In this paper, built-up land expansion patterns and the associated factors were characterized in urban and non-urban areas across the Wen-Tai region of eastern China. Fractal dimension can be used as a reliable indicator of the complexity of built-up land form, and the increasing trend of fractal dimension indicated a more complex, dispersed pattern of built-up land in urban areas. Spatial regression models were quantitatively implemented to identify the indicators influencing the variation of fractal dimensions. Our findings suggested that the fractal dimension of built-up land forms was positively correlated to the patch density and elevation when built-up land expansion was more concentrated. Both landscape shape index and Gross Domestic Product (GDP) were positively correlated with fractal dimension in urban areas, and total edge, edge density, and connective index had impacts on fractal dimension in non-urban areas. Slope and agricultural population also showed an influence on fractal dimension. This study provided a new way for urban studies in interpreting the complex interactions between fractal dimension and related factors. The combined approach of fractal dimension and spatial analysis can provide the government planners with valuable information that can be efficiently used to realize the influences of land use policies in urban and non-urban areas.

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Mining the Urban Sprawl Pattern: A Case Study on Sunan, China

Cited by 28 publications

References 24 publications

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data

Evaluation of three-dimensional urban expansion: A case study of Yangzhou City, Jiangsu Province, China

Characterizing Factors Associated with Built-Up Land Expansion in Urban and Non-Urban Areas from a Morphological Perspective

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