Spatio-Temporal Patterns and Policy Implications of  Urban Land Expansion in Metropolitan Areas: A Case  Study of Wuhan Urban Agglomeration, Central China

Lu, Shasha; Guan, Xingliang; He, Chao; Zhang, Jiali

doi:10.3390/su6084723

Cited by 68 publications

(40 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The importance of understanding urbanization patterns is evidenced by the increasing number of studies around the world during the past few decades [5,6,[11][12][13][14][15][16][17]. For example, Dietzel et al Changes in landscape metrics measuring urbanization patterns on the basis of three hypotheses.…”

Section: Introductionmentioning

confidence: 99%

General Spatiotemporal Patterns of Urbanization: An Examination of 16 World Cities

Liu

2016

Sustainability

View full text Add to dashboard Cite

Urbanization is the most dramatic form of land use change that has profoundly influenced environmental and socioeconomic conditions around the world. To assess these impacts and promote urban sustainability, a better understanding of urbanization patterns is needed. Recent studies have suggested several spatiotemporal patterns of urbanization, but their generality is yet to be adequately tested with long-term data. Thus, the main goal of our study was two-fold: (1) to examine the spatiotemporal patterns of urbanization of 16 world cities over a period of 200 years (1800-2000); and (2) to test four prominent hypotheses of urbanization patterns. Using a set of landscape metrics, we quantified temporal changes in the urban landscape pattern of the 16 cities and examined the four hypotheses individually. Our results show that these cities exhibit several common urbanization patterns: the urban landscape becomes compositionally more diverse, structurally more fragmented and geometrically more complex as urbanization progresses. Our study also suggests that urbanization is a process of shifting dominance among three urban growth modes: infilling, edge expanding and leapfrogging. However, idiosyncrasies do exist for individual cities, as detailed attributes of urbanization patterns often depend on the environmental and socioeconomic settings of cities. In addition, the choice of specific landscape metrics and the scales of analysis both influence the urbanization patterns revealed. Our study examined the urbanization patterns, for the first time, on long-term and global scales. The findings shed new light on the patterns and processes of urbanization, with implications for future studies of the ecology, planning and sustainability of cities.

show abstract

Section: Introductionmentioning

confidence: 99%

General Spatiotemporal Patterns of Urbanization: An Examination of 16 World Cities

Liu

2016

Sustainability

View full text Add to dashboard Cite

show abstract

“…This process is similar that which has occurred in Ho Chi Minh [2], Dhaka [1,[3][4][5][6]10], Delhi [7], Hanoi [8] and Ansan [9]. Numerous bare land areas emerging along with urbanization processes have cast irreversible impacts on the urban environment, such as air pollution and soil loss [51][52][53][54][55][56][57]. In the plum rain season, flash flooding hazards have become a serious issue and have caused human death and damages to urban infrastructure in the city [52], similar to that in Dhaka [3].…”

Section: Analyses On Urbanization Of Wuhanmentioning

confidence: 69%

“…Rapid growth of the economy is the primary cause for rapid urbanization, as economic opportunities in the city are fueling rural to urban migration on a massive scale [51]. Census data indicated that the urban GDP of Wuhan was only 17.76 billion dollars in 2000, which increased to 133.17 billion dollars in 2013, with an annual growth rate of 49.99% [42,43].…”

Section: Analyses On Urbanization Of Wuhanmentioning

confidence: 99%

“…Urbanization process of the city was monitored and analyzed from the maps, since urban growth is crucial for local environmental and ecological management. The city of Wuhan has undergone one of the most rapid economic, industrial and urban development in its history, similar to other cities in China, India, Bangladesh, Vietnam and other developing counties [1][2][3][4][5][6][7][8][9][10][51][52][53][54][55][56][57]. The study revealed that the urban expansion in Wuhan has been rapid, with the majority of built-up and bare land acquired by converting areas that were previously agricultural land, forest and water bodies.…”

Section: Analyses On Urbanization Of Wuhanmentioning

confidence: 99%

See 1 more Smart Citation

Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters

Wang

Zhong

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

Abstract:Land use/land cover (LULC) change is one of the most important indicators in understanding the interactions between humans and the environment. Traditionally, when LULC maps are produced yearly, most existing remote-sensing methods have to collect ground reference data annually, as the classifiers have to be trained individually in each corresponding year. This study presented a novel strategy to map LULC classes without training samples or assigning parameters. First of all, several novel indices were carefully selected from the index pool, which were able to highlight certain LULC very well. Following this, a common unsupervised classifier was employed to extract the LULC from the associated index image without assigning thresholds. Finally, a supervised classification was implemented with samples automatically collected from the unsupervised classification outputs. Results illustrated that the proposed method could achieve satisfactory performance, reaching similar accuracies to traditional approaches. Findings of this study demonstrate that the proposed strategy is a simple and effective alternative to mapping urban LULC. With the proposed strategy, the budget and time required for remote-sensing data processing could be reduced dramatically.

show abstract

“…Associated research topics are focused on remote sensing monitoring methods and simulation models, spatio-temporal characteristics and evolution laws, impacting factors and driving mechanisms, change effect assessment, and landscape structure optimization [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The simulation models employed for urban expansion and land use change include the Markov, CA (Cellular Automata)-Markov, ANN (Artificial Neural Network)-Markov, LTM (Land Transformation Model), ABM (agent-based model), CLUE-S, and SLEUTH models [18,19].…”

Section: Introductionmentioning

confidence: 99%

Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model

Shi

2017

Sustainability

View full text Add to dashboard Cite

Abstract:The SLEUTH model is one of the recent methodological advances, but its data sources are mainly interpreted from remote sensing images. It doesn't cover the whole urban area and exhibits technical errors. Moreover, the relationships between land use and land cover change (LUCC) and sustainability have seldom been discussed. Aimed at addressing these shortcomings, we focus on a wider range and use different data sources to simulate and predict the boundary of urban construction land expansion, and analyze the relationship between the expansion style of urban land and the change of ecological service value. Based on Shanghai land use map data, which covers the whole city scope and eliminates the error in data processing, we use a SLEUTH model to simulate the urban growth mode in Shanghai in 2020 under two scenarios, i.e., the natural growth mode and ecological priority mode, which are different from the previous scenario modes such as unprotected, light protected, moderately protected, and heavily protected modes. The results are as follows:(1) The development of urban land in Shanghai is most reasonable under the ecological priority mode as its ecological service value is higher than that of the natural growth mode; (2) Construction land expansion in Shanghai is very slow under the ecological priority mode, wherein construction land growth mainly occurs in the northwest, southwest, and southeast of Shanghai, and the northwest part of Chongming Island; (3) The surrounding area of the central city is given priority over edge growth, where the growth range is small. The outer suburbs are given priority for widespread growth, which is synchronous with the slow growth of roads.

show abstract

Spatio-Temporal Patterns and Policy Implications of Urban Land Expansion in Metropolitan Areas: A Case Study of Wuhan Urban Agglomeration, Central China

Cited by 68 publications

References 36 publications

General Spatiotemporal Patterns of Urbanization: An Examination of 16 World Cities

General Spatiotemporal Patterns of Urbanization: An Examination of 16 World Cities

Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters

Study of the Simulated Expansion Boundary of Construction Land in Shanghai Based on a SLEUTH Model

Contact Info

Product

Resources

About