Rates and patterns of urban expansion in China’s 32 major cities over the past three decades

Zhao, Shuqing; Zhou, Decheng; Zhu, Cheng; Wenyuan, Qu; Zhao, Jiajia; Sun, Yan; Huang, Dian; Wu, Wenwei; Liu, Shuguang

doi:10.1007/s10980-015-0211-7

Cited by 135 publications

(83 citation statements)

References 64 publications

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“…Additionally, the differences in the patch size of newly developed land among cities having different sizes in the same urban megaregion became smaller, indicating that urbanization at the regional scale tends to homogenize patch dynamics of the developed landscape ( Figure 6A-C). These results, though at the regional scale, were consistent with findings from previous studies that were conducted at the city scale, showing that patch structure of the landscape becomes similar with urban megaregion development [12,48,49]. As previous studies have been mostly conducted at the city scale, our results can enhance understanding on how urbanization may lead to homogenization of urban landscapes at the regional scale.…”

Section: Discussionsupporting

confidence: 91%

“…We found larger cities tended to have more newly developed land and develop at a relatively rapid rate, which is consistent with findings from previous studies [12,25]. We also found that in the YRD megaregion, the smaller cities had larger annual rates of urban expansion, which is similar to some Asian cities that had small size but experienced more rapid urbanization [39][40][41].…”

Section: Discussionsupporting

confidence: 91%

“…The focus of these studies includes: (1) the extent and speed of urban expansion [11,12]; (2) landscape pattern and changes along the resultant urban-rural gradients, frequently quantified by landscape metrics [13,14]; and (3) the morphology of urban expansion, such as urban sprawl versus compactness [15], models of urban expansion [16]. Recognizing the importance of urban morphology for environmental and ecological issues [17,18], there is an increasing interest in quantifying the models of urban expansion [17,[19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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The Spatiotemporal Pattern of Urban Expansion in China: A Comparison Study of Three Urban Megaregions

Zhou

2017

Remote Sensing

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Urban megaregions have emerged as a new urbanized form. However, previous studies mostly focused on urban expansion at the city scale, particularly for large cities. Understanding urban expansion at the regional scale including cities having different sizes is important for extending current knowledge of urban growth and its environmental and ecological impacts. Here, we addressed two questions: (1) How do the extent, rate, and morphological model of urban expansion vary at both the regional and city scales? (2) How do factors, such as city size and expansion rate, influence urban expansion models? We focused on the three largest urban megaregions in China, Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD) and Pearl River Delta (PRD). We quantified and compared the spatiotemporal pattern of urban expansion during 2000-2010 at both the regional and city scales based on remote sensing data. We used correlation analysis and linear regressions to address our research questions. We found that (1) the three urban megaregions experienced rapid and massive urban growth, but the spatiotemporal pattern varied greatly. Urban expansion was dominated by edge-expansion in the BTH, edge-expansion and infilling in the YRD, and infilling in the PRD. Cities in the same megaregion tended to have similar expansion morphology; (2) geographical location influenced the model of urban expansion the most, followed by city size and by its expansion rate. Small-sized cities were more likely to develop in a leapfrogging model, while cities with relatively rapid expansion tended to grow in an edge-expansion model.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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The Spatiotemporal Pattern of Urban Expansion in China: A Comparison Study of Three Urban Megaregions

Zhou

2017

Remote Sensing

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“…In contrast, the correlations between the proportional cover of developed land and the mean patch size of forested land was no longer significant in the BTH and WH megaregions after controlling for the patch density of developed land, indicating that the impact of spatial pattern of developed land is more important in the BTH and WH megaregions. The different roles of patch density on forest fragmentation might be related to the differentiated morphological types of urban expansion in different megaregions [40,42,50,51], as dispersed urban expansion can lead to increased forest fragmentation [42,50]. For example, the PRD was dominated by expansion of infilling, the YRD was dominated by infilling and edge-expansion, and the BTH had the highest proportion of edge-expansion from 2000 to 2010 [40].…”

Section: Discussionmentioning

confidence: 99%

Effects of Urban Expansion on Forest Loss and Fragmentation in Six Megaregions, China

Zhou

Zhang

et al. 2017

Remote Sensing

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Abstract:Urban expansion has significant effects on forest loss and fragmentation. Previous studies mostly focused on how the amount of developed land affected forest loss and fragmentation, but neglected the impacts of its spatial pattern. This paper examines the effects of both the amount and spatial pattern of urban expansion on forest loss and fragmentation. We conducted a comparison study in the six largest urban megaregions in China-Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), Pearl River Delta (PRD), Wuhan (WH), Chengdu-Chongqing (CY), and Changsha-Zhuzhou-Xiangtan (CZT) urban megaregions. We first quantified both the magnitude and speed of urban expansion, and forest loss and fragmentation from 2000 to 2010. We then examined the relationships between urban expansion and forest loss and fragmentation by Pearson correlation and partial correlation analysis using the prefecture city as the analytical unit. We found: (1) urban expansion was a major driver of forest loss in the CZT, PRD, and CY megaregions, with 34.05%, 22.58%, and 19.65% of newly-developed land converted from forests. (2) Both the proportional cover of developed land and its spatial pattern (e.g., patch density) had significant impacts on forest fragmentation at the city level. (3) Proportional cover of developed land was the major factor for forest fragmentation at the city level for the PRD and YRD megaregions, but the impact of the spatial pattern of developed land was more important for the BTH and WH megaregions.

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“…They mainly focus on the following several aspects. (1) GIS technology and spatial modeling have been widely introduced to investigate landscape change and the spatial patterns of urban expansion (Verburg et al, 1999;Xiao et al, 2006;Liu and Zhang, 2008;Kumar et al, 2011;Wang et al, 2012a;Gao et al, 2013;Mondal et al, 2015;Zeng et al, 2015;Zhao et al, 2015). For example, Xiao et al (2006) categorized spatial patterns into special objectives, social-political intervention, and normal urban growth.…”

Section: Introductionmentioning

confidence: 99%

Land management institution as a key confinement of urbanization in Baotou, China⿿Application of proposed endogenous urbanization model

Dong

Zhai

et al. 2016

Land Use Policy

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a b s t r a c tChina has been experiencing rapid urbanization, with a large amount of rural land converted into urban land, leading to debate by researchers and governments. This study investigates the endogenous factors influencing urban expansion and quantifies their effects to promote intensive and sustainable urban land use in order to realize new-type urbanization, by employing GIS technology and an endogenous growth model. The simulation results explain the expansion of urban land in the case of Baotou city, China. The result shows that the land management institution(LMI) has played a critical role in urban land expansion in Baotou city. Its multiplier effect reaches 0.166, which means a one percentage point increase in the strength of LMI leads to a 0.166% increase in urban land area. The presented analysis reveals four main findings. Firstly, the major factors influencing urban expansion are (LMI), urban disposable income per capita, the secondary and tertiary industry, technological progress, and population density. Secondly, LMI has a critical influence on urban expansion. Thirdly, technological progress has a positive effect on urban expansion by merging into the secondary and tertiary industry. Finally, population density and the tertiary industry have a dampening effect on urban expansion. According to the analysis, we suggest that the central government in China should regulate the behavior of local governments to reduce principal-agent risk, as they hold the state land property rights as the trustee of the public. Meanwhile, the government should pay more attention to guiding technological progress by promoting industrial transformation and economic quality, not just focusing on economic quantity, especially for resource-based cities.

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Rates and patterns of urban expansion in China’s 32 major cities over the past three decades

Cited by 135 publications

References 64 publications

The Spatiotemporal Pattern of Urban Expansion in China: A Comparison Study of Three Urban Megaregions

The Spatiotemporal Pattern of Urban Expansion in China: A Comparison Study of Three Urban Megaregions

Effects of Urban Expansion on Forest Loss and Fragmentation in Six Megaregions, China

Land management institution as a key confinement of urbanization in Baotou, China⿿Application of proposed endogenous urbanization model

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