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

Sun, Cheng; Wu, Zhifeng; Lv, Zhiqiang; Yao, Na; Jianbing, Wei

doi:10.1016/j.jag.2011.12.012

Cited by 186 publications

(103 citation statements)

References 39 publications

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“…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]. The BTH encompasses approximately 215,800 km 2 , with a total population of 110.53 million in 2014 (approximately 8.08% of the total population of China), and the gross domestic product (GDP) of 6647.90 billion Yuan, accounted for 10.45% of the GDP in China (National Bureau of Statistics of the People's Republic of China, 2014).…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%

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

Zhou

2017

Remote Sensing

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“…Urbanization has been an important social and economic phenomenon taking place at an unprecedented scale and rate all over the world [1]. In addition, it is forecast that approximately 4.9 billion people are expected to settle down in urban areas by 2030 and 6.3 billion by 2050 [2].…”

Section: Introductionmentioning

confidence: 99%

“…This study aims to explore the trends and patterns of urban expansion in the MYRB urban agglomeration over past 16 years from the regional landscape to prefectural and inner-city levels using multi-temporal MODIS products and Landsat data integrated with GIS techniques and landscape ecology approaches. The specific objectives of this study comprise: (1) dynamically map the locations and extents of main urban area expansions; (2) analyze the similarities and differences of the general trends of urbanization, spatially explicit urban growth patterns, and spatiotemporal changes of landscape metrics; and (3) reveal spatiotemporal inequality of the socioeconomic development among the cities in the MYRB. Furthermore, the results of this study also offer a scientific decision-making platform for achieving the goals of macroeconomic regulation and control, town planning, land management for governmental eco-environmental protection and promoting healthy urbanization in the MYRB region.…”

Section: Introductionmentioning

confidence: 99%

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Liu

Chen

2017

Remote Sensing

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Detailed studies on the spatiotemporal patterns of urban agglomeration in the Middle Yangtze River Basin (MYRB) are rare. This paper analyzed the spatiotemporal patterns of urbanization in the MYRB using multi-temporal remote sensing data circa 2000, 2008 and 2016 integrated with geographic information system (GIS) techniques and landscape analysis approaches. A multi-level analysis of the rate and intensity, type as well as the landscape changes of urban expansion at regional, prefectural and inner-city levels was performed. Results show that the MYRB experienced rapid urban expansion with an annual expansion rate of 3.199%, especially in the Chang-Zhu-Tan and Poyang Lake metropolitan areas. The small and medium cities presented faster urban expansion than the larger cities with annual growth rates three times the average level. Urban expansion within the three capital cities was further analyzed in detail. It is found that outlying expansion and edge-expansion were the dominant growth patterns at all the three levels. Although urbanization in the MYRB has a remarkable increase in the past sixteen years, its annual growth rate of urban land expansion has fallen behind the three other large urban agglomerations in China as a result. Finally, the spatial evolution of the socioeconomic structure of the MYRB was further explored. It indicated that urban land was distributed mainly along the "northwest-southeast" direction and that the economic spatial interactions among cities showed a pattern of "multi-polarization and fragmentation", which illustrates the weak radiative driving forces of the central cities. The MYRB urban agglomeration faces a great challenge to manage trades-offs between narrowing the intra-regional disparity and maintaining synergetic development among cities.

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“…Compared with U.S. and European cities, most cities in China have been identified to have undergone land-dominated urbanization. Urban expansion and urban sprawl have been discerned at the city level such as Beijing, Shanghai, Guangzhou and Wuhan, at the regional level such as Pearl River delta, Yangzi river delta, or even at the national and global level though Remote Sensing (RS) and Geographical Information System (GIS) techniques (Han, Hayashi, Cao, & Imura, 2009;Kuang, 2011;Sun, Wu, Lv, Yao, & Wei, 2013). Furthermore, the discovery of spatial dependence in the traditional statistical calculation and the widely present spatial correlation in regional science reflect the need for incorporating spatial effect into the operational model.…”

Section: Introductionmentioning

confidence: 99%

Urbanization and administrative restructuring: A case study on the Wuhan urban agglomeration

Zeng

An-lu

2016

Habitat International

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a b s t r a c tUrbanization in China has been closely associated with urban sprawl, rural migration and the role of government has been more direct and powerful in setting it in motion. In 2014, the New Urbanization Planning in China has been released in which the development of urban agglomeration and smallmedium cities has been highlighted. In this context, we decompose urbanization into populationoriented and land-centered archetypes and devise spatial models in multiple strategies embedded with different spatial relations to unfold the underlying driving forces using Wuhan agglomeration as the case. In addition to the identification of major driving forces which are gross domestic product (GDP), income, fixed asset investment and the transportation construction, the major contributions of our study lie in the gauge on administrative influence, to be more specific, the status of urban district, city-level county and county, through incorporating different spatial weight matrix in different scenarios in spatial modeling. It found out that 1) both non-agricultural population and urban land exhibit significant spatial autocorrelation and the superiority in the city center is evident; 2) socio-economic development and transportation construction significantly influence urbanization whereas the personal income and fixed asset investment accounting for a large proportion being the most powerful factors; 3) different administrative status at the county level is an unneglectable factor and urban area has higher probability to expand when urban district is adjacent to county-level city; 4) the magnitude of this administrative status influence generally grows to a certain level and then reaches to a plateau. These findings provide theoretical basis for understanding the administrative dimension in new urbanization and have important policy implications on administrative adjustment and urban agglomeration.

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

Cited by 186 publications

References 39 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

Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

Urbanization and administrative restructuring: A case study on the Wuhan urban agglomeration

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