A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces

Kuang, Wenhui; Chi, Wenfeng; Lu, Dengsheng; Dou, Ying

doi:10.1016/j.landurbplan.2014.08.015

Cited by 221 publications

(146 citation statements)

References 62 publications

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“…Using administrative boundaries as the spatial extent of a city is unsuitable because they are changeable, include areas that are too large or too small and are not comparable across cities [59,60]. Concentric buffer structure is a common method used to analyze phenomena changes, such as population and land use, across an area [32]. Based on this theory, a series of buffer rings with consecutive distances of 2 km were generated within a radius of 30 km from the city center.…”

Section: Across-scale Land-cover Data Generationmentioning

confidence: 99%

“…Setting the study area as China, Huang et al [29] carefully illustrated that the urban expansion in China from 2005 to 2008 was influenced by globalization, marketization and the process of decentralization. At the regional scale and city scale, numerous studies on the extent, pattern and driving forces of urban expansion were focused on individual or several metropolitan cities in China, especially the more developed cities in the east of China, such as Beijing, Shanghai, Tianjin, and Guangzhou [30][31][32][33]. Some urban remote sensing projects generated data and statistics based on jurisdictions, but failed to justify how to effectively link the data to pattern analysis of urbanization across multiple levels of jurisdiction.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Across-scale Land-cover Data Generationmentioning

confidence: 99%

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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“…Urban change maps; Simulation of urban growth Jantz et al (2003), Xian and Cran(2005), Shao and Liu(2014), Sunde et al(2014) Kuang et al(2014), Wu and Thompson (2013), Nie et al(2015a), Nie et al(2015b) Although these techniques have proven effective to some degree when applied to ISFs, several problems still exist:…”

Section: More Than Two Imagesmentioning

confidence: 99%

“…Ideally, this procedure should be done by using high spatial resolution imagery which allows one to delineate borders of impervious surfaces in a way that is sufficiently precise for validating sub-pixel impervious surface extracted from medium or coarse spatial resolution imagery. However, high spatial resolution imagery may be costly and difficult to obtain for an entire study region and for each occasion in an ISF image time series, particularly for early dates (Michishita et al, 2012;Kuang et al, 2014). Due to these limitations, this study utilized a color composite aerial (0)) and Texture Kernel size was 3.…”

Section: Accuracy Assessmentmentioning

confidence: 99%

Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

Shahtahmassebi

Song

Zheng

et al. 2016

International Journal of Applied Earth Observation and Geoinfor

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A substantial body of literature has accumulated on the topic of using remotely sensed data to map impervious surfaces which are widely recognized as an important indicator of urbanization. However, the remote sensing of impervious surface growth has not been successfully addressed. This study proposes a new framework for deriving and summarizing urban expansion and re-densification using time series of impervious surface fractions (ISFs) derived from remotely sensed imagery. This approach integrates multiple endmember spectral mixture analysis (MESMA), analysis of regression residuals, spatial statistics (Getis_Ord) and urban growth theories; hence, the framework is abbreviated as MRGU. The performance of MRGU was compared with commonly used change detection techniques in order to evaluate the effectiveness of the approach. The results suggested that the ISF regression residuals were optimal for detecting impervious surface changes while Getis_Ord was effective for mapping hotspot regions in the regression residuals image. Moreover, the MRGU outputs agreed with the mechanisms proposed in several existing urban growth theories, but importantly the outputs enable the refinement of such models by explicitly accounting for the spatial distribution of both expansion and re-densification mechanisms.Based on Landsat data, the MRGU is somewhat restricted in its ability to measure re-densification in the urban core but this may be improved through the use of higher spatial resolution satellite imagery. The paper ends with an assessment of the present gaps in remote sensing of impervious surface growth and suggests some solutions. The application of impervious surface fractions in urban change detection is a stimulating new research idea which is driving future research with new models and algorithms.

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“…Apart from that, zoning status or legally protected areas have produced the best result in sensitivity analysis of developed urban model which signify it as one of important factors of urban expansion (Poelmans & van Rompaey, 2010). Kuang, Chia, Lu and Dou (2014) recognised that urban planning, management strategies and policies have become major driving forces that need to be considered in modelling urban growth as they can affect other drivers. China, for example, has experienced unprecedented speed of urbanisation rate since government setting up special economic zone which has emerged as China's commercial and industrial hub.…”

Section: Background Of the Studymentioning

confidence: 99%

What Brings Youth to Recreational Parks?

Zainol

Au-Yong

2016

PMJ

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Locations of recreational parks are said to have a direct influence on youth physical activities. However, there is still a lack of studies on youth activities at recreational parks. Thus, this study examines the relationship between reasons and habit of youth going to recreational parks through a questionnaire survey. Variables that are measured include enjoying the outdoors, use a particular facility at the park, play sports, picnic and general activities, walk or ride a bicycle for exercise and meeting friends. Logistic regression analysis reveals youths are most likely to visit the park for playing sports, walking or riding a bicycle, provided the facilities and amenities are available. Hence, planning, implementation and maintenance of recreational park play a significant role in promoting outdoor activities and active lifestyle among the youth.

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A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces

Cited by 221 publications

References 62 publications

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

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

Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

What Brings Youth to Recreational Parks?

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