Urban Expansion Process, Pattern, and Land Use Response in an Urban Mining Composited Zone from 1986 to 2013

Zhang, Xiaoran; Bai, Zhongke; Fan, Xiang; Lu, Yuanqing; Cao, Yingui; Zhao, Zhong-Qiu; Sun, Qi; Pan, Jian

doi:10.1061/(asce)up.1943-5444.0000327

Cited by 19 publications

(10 citation statements)

References 46 publications

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“…在现有的城市矿产的综合性研究中，可以从 3 个方面进行概括总结。第一方面，关于中国城市矿产综合性研究中，学者们主要对不同种类的城市矿产的开发理论和实践状况展开研究，并结合研究结果给出相应的城市矿产发展和政策建议 [13][14][15][16] ；部分学者从中国的实际发展背景出发，探讨当今城市矿产研究的定位和战略问题 [17][18][19] ；也有学者在中国生态文明发展背景下，从空间层面对矿产资源开发利用的优化实施管控展开深入研究 [20,21] 。第二方面，在城市矿产政策综述研究方面，学者们主要从中国政策体系现状、政策实施效果和政策顶层设计等角度展开研究 [22][23][24] 。第三方面，国际文献关于中国城市矿产的研究，主要结合中国发展环境，开展城市矿产的前沿理论、实践经验、产业发展、政策建议及矿产量预测等相关方面的研究 [6,25,26] 。针对城市矿产的上述综合性研究及城市矿产政策综述研究中，仍缺少一种研究方法去揭示该领域系统的、整体的研究现状及演化趋势。如何从大量城市矿产研究文献中快速有效地提取信息，并准确总结研究文献的核心主题，对探索城市矿产研究的动态规律，推动城市矿产资源相关政策体系的完善具有重要参考意义 [27][28][29][30]…”

Section: 矿产的研究并未形成一套较为成熟先进的技术和方法，城市矿产领域研究处于发展瓶颈期。unclassified

Evolution of urban mineral resources research based on knowledge maps

WEI¹,

LI²,

GUO³

2021

资源科学

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Section: 矿产的研究并未形成一套较为成熟先进的技术和方法，城市矿产领域研究处于发展瓶颈期。unclassified

Evolution of urban mineral resources research based on knowledge maps

WEI¹,

LI²,

GUO³

2021

资源科学

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“…Urban built-up area expansion provides resources and capital for rapid industrialization and urbanization, thus promoting economic growth, which will drive the agglomeration of resources and labor, promoting the further expansion of urban built-up areas, but the expansion also brings various problems, such as endangering national food security and reducing biodiversity (Yue et al, 2014;. Urban built-up areas are the most rapidly changing areas in China during the transition period, and the extent of urban built-up areas expansion affects the quality of urbanization and the process of sustainable development in China significantly (Liu et al, 2016;Zhang et al, 2016;Li J. et al, 2017;Hu et al, 2018). Therefore, accurate spatial change in urban built-up areas is essential to detect the urbanization process and to analyze the driving factors of urban development and its impact on the environment in China.…”

Section: Introductionmentioning

confidence: 99%

Deep Semantic Segmentation for Rapid Extraction and Spatial-Temporal Expansion Variation Analysis of China’s Urban Built-Up Areas

et al. 2022

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Changes in the spatial expansion of urban built-up areas are of great significance for the analysis of China’s urbanization process and economic development. Nighttime light data can be used to extract urban built-up areas in a large-scale and long-time series. In this article, we introduced the UNet model, a semantic segmentation network, as a base architecture, added spatial attention and channel attention modules to the encoder part to improve the boundary integrity and semantic consistency of the change feature map, and constructed an urban built-up area extraction model—CBAM_UNet. Also, we used this model to extract urban built-up areas from 2012 to 2021 and analyzed the spatial and temporal expansion of China’s urban built-up areas in terms of expansion speed, expansion intensity, expansion direction, and gravity center migration. In the last decade, the distribution pattern of urban built-up areas in China has gradually changed from “center” to “periphery-networked” distribution pattern. It reveals a trend from agglomeration to the dispersion of urban built-up areas in China. It provides a reference for China’s urban process and its economic development.

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“…The landscape pattern of city is a direct representation of its development and economic activities; development and changes in cities can alter their landscape pattern [12][13][14]. While the economic systems in mining cities are mainly sustained by natural resources [15], their landscape patterns are influenced by multiple factors [16]. On the one hand, large areas of underground goaf (i.e., mined-out areas) have resulted from the massive exploration for mineral resources in many mining cities, leading to land subsidence that significantly influences the landscape pattern on the surface.…”

Section: Introductionmentioning

confidence: 99%

Landscape Pattern Evolution in a Mining City: An Urban Life Cycle Perspective

Shang¹,

Ye²,

Dong³

et al. 2022

Sustainability

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Quantitative studies on how mining activities shape the evolution of regional landscape patterns can contribute to the scientific understanding of how mining cities develop. Based on the theories of life cycle and landscape ecology, this paper takes Jixi, a typical Chinese mining city, as a case study to analyze the landscape pattern features at different mining city development stages. First, we constructed a mining city development cycle index system. Second, the optimal granularity for landscape pattern analysis was determined. Finally, landscape evolution was analyzed at the type and landscape levels based on the mining city development cycle. The main conclusions are: (1) Jixi has gone through four stages since 1990: lead-in (1990–1998), development (1998–2009), maturity (2009–2016), and transition (2016–2020); (2) the optimal grain size for landscape pattern analysis is 90 m; (3) through the various development stages, the landscape fragmentation degree, complexity, and diversity show a tendency to rise first and then fall. Thus, mining cities should carry out sustainable development planning from the perspective of industrial transformation in the early stages, and policy orientation in the development process should have different emphases according to each stage.

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Urban Expansion Process, Pattern, and Land Use Response in an Urban Mining Composited Zone from 1986 to 2013

Cited by 19 publications

References 46 publications

Evolution of urban mineral resources research based on knowledge maps

Evolution of urban mineral resources research based on knowledge maps

Deep Semantic Segmentation for Rapid Extraction and Spatial-Temporal Expansion Variation Analysis of China’s Urban Built-Up Areas

Landscape Pattern Evolution in a Mining City: An Urban Life Cycle Perspective

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