scholarly journals Land Spatial Development Based on Carrying Capacity, Land Development Potential, and Efficiency of Urban Agglomerations in China

2018 ◽  
Vol 10 (12) ◽  
pp. 4701 ◽  
Author(s):  
Zhenbo Wang
Keyword(s):  
Three Dimensional ◽  
Land Development ◽  
Spatial Development ◽  
Urban Agglomeration ◽  
Utilization Efficiency ◽  
Planning System ◽  
Chinese Government ◽  
Supporting Capacity ◽  
Urban Agglomerations ◽  
Dimensional Matrix

The Chinese government is undergoing a major reform. The current core task of new Ministry of Natural Resources (MNR) is to establish a national territorial spatial planning system (NTSPS). Urban agglomeration has become a main body in NTSPS. China’s new urbanization strategy identified 19 key development areas of urban agglomerations (UA), but the land development path is not clear. Due to the lack of research on the land development intensity evaluation (LDIE) of urban agglomerations, this study applied a GIS-based, multi-criteria method for LDIE to the Shandong Peninsular urban agglomeration (SPUA). Evaluation indices were determined for three factors (development intensity, supporting capacity, and utilization efficiency) that comprise the discriminant model of the three-dimensional matrix method, which was used to establish the method for this topic and demonstrate the accuracy of the land spatial development intensity. This empirical study on the SPUA indicated that, overall, the average indices for development intensity, supporting capacity, and utilization efficiency in the study area are 0.40, 0.34, and 0.55, respectively. Using the three-dimensional matrix discrimination model, three zones of development intensity were identified: key, stable, and restricted development zones. The threshold values for construction land growth in the eight cities of the SPUA were obtained. The findings provide a theoretical reference and guide for the practical application of LDIE as well as a scientific basis for sustainable land development and utilization.

scholarly journals Research on the Impact of Industrial Development on Energy Utilization Efficiency under the Background of Urban Agglomeration Planning

2021 ◽  
Vol 283 ◽  
pp. 02026
Author(s):  
Yuan Zheng ◽  
Bo Yue ◽  
Xuesong Han ◽  
Zheng Li
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Industrial Development ◽  
Urban Agglomeration ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Total Energy Consumption ◽  
Central Cities ◽  
Urban Agglomerations ◽  
The Impact

At present, the trend of central cities leading the development of urban agglomerations and urban agglomerations driving regional development is becoming more and more significant. Based on the panel data of 16 cities in the Chengdu-Chongqing urban agglomeration from 2010 to 2015, this paper uses a fixedeffect model to study the relationship between industrial development and energy efficiency in urban agglomerations, central cities, and surrounding cities. The empirical results show that for the overall urban agglomerations, central cities and surrounding cities, the scale of the secondary industry has a negative correlation with energy consumption per unit of GDP. Industrial development will increase the total energy consumption, but it also contributes to energy efficiency. In order to achieve the goal of "carbon peak and carbon neutrality", cities must find a balance in development and seek ecological protection during development.

scholarly journals Spatial Production and Governance of Urban Agglomeration in China 2000–2015: Yangtze River Delta as a Case

2019 ◽  
Vol 11 (5) ◽  
pp. 1343 ◽  
Author(s):  
Chao Ye ◽  
Zhaojing Liu ◽  
Wenbo Cai ◽  
Ruishan Chen ◽  
Liangliang Liu ◽  
...  
Keyword(s):  
Yangtze River ◽  
Synthesis Method ◽  
Developed Countries ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Chinese Government ◽  
Production Of Space ◽  
Urban Agglomerations ◽  
Spatial Production

Urban agglomeration plays an essential role in world urbanization. Urban agglomerations in developing countries like China, although have the same characteristics as the developed countries because of globalization, often show a more different and dynamic process. Urban agglomerations in China are generally dominated and planned as a mode of organizing and improving urbanization by the Chinese government; however, in different regions, urban agglomeration has different trajectories based on a different historical and geographical context. The paper applies a new social theory, production of space, into explaining the development and governance of urban agglomeration in China, which is effective and meaningful to help understand the developmental process of urban agglomeration and urbanization. The theory of spatial production focuses on the relation between society and space, in which ‘society’ has a broad meaning and can be divided into three factors or parts: power, capital, and class. This paper chooses YRD (the Yangtze River Delta) as a typical case and designs a simple index system to reflect the influences of these three factors on urban agglomeration. The governance of urban agglomeration will be indicated by national or regional policies analysis. According to such a synthesis method of index assessment, GIS (Geographic Information System), and policies analysis, we find Chinese urban agglomeration is a capital-intensive region, and the national policies tend to regard it as an intensive investment object. Planning and governance from top-down power have more influence than the market in the evolving process of urban agglomeration. There is a contradiction between spatial production and people-oriented urbanization, with the latter more important than the former, but China’s urbanization often emphasizes the former. It is high time to link the techniques and methods such as GIS to the social theories like the production of space in urban studies.

scholarly journals Spatio-Temporal Coupling Characteristics and the Driving Mechanism of Population-Land-Industry Urbanization in the Yangtze River Economic Belt

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 400
Author(s):  
Liejia Huang ◽  
Peng Yang ◽  
Boqing Zhang ◽  
Weiyan Hu
Keyword(s):  
Economic Development ◽  
Spatial Correlation ◽  
Yangtze River ◽  
Three Dimensional ◽  
Driving Mechanism ◽  
The Yangtze River ◽  
Central Cities ◽  
Urban Agglomerations ◽  
Development Level ◽  
Coordination Degree

The purpose of this paper is to probe into the coupled coordination of urbanization in population, land, and industry to improve urbanization quality. A coupled coordination degree model, spatial analysis method and spatial metering model are employed. The study area is 110 prefecture-level cities in the Yangtze River Economic Belt. The study shows that: (1) the coupling degree of the population-land-industry urbanization grew very slowly between 2006 and 2016. On the whole, the three-dimensional urbanization is in a running-in period, and land-based urbanization dominates, while population-based urbanization and industry-based urbanization are relatively lagging behind. (2) The three major urban agglomerations, the Chengdu-Chongqing, the middle reaches of the Yangtze River and the Yangtze River Delta, are parallel to the whole area in terms of the coupling degree of the three dimensional urbanization with a well-ordered structure, especially in the central cities of the three major urban agglomerations. (3) There is significant spatial correlation in the coupling degree and coordination degree of the three-dimensional urbanization. The high value of coupling degree and coordination degree are clustered continuously in developed cities, provincial capitals, and central cities of the downstream reaches of the Yangtze River. (4) The coordinated degree has significant positive spatial autocorrelation, showing obvious spatial agglomeration characteristics: H-H agglomeration areas are concentrated in the downstream developed areas such as Jiangsu, Zhejiang, and Shanghai. L-L agglomeration areas are mainly concentrated in upstream undeveloped areas, but the number of their cities shows a decreasing trend. (5) The coordination degree of the three-dimensional urbanization is the result of the comprehensive effect of economic development level, the government’s decision-making behavior, and urban location. Among them, the economic development level, urbanization investment, traffic condition, and urban geographical location play a decisive role. This paper contributes to the existing literatures by exploring urbanization quality, spatial correlation and influencing factors from the perspectives of the three-dimensional urbanization in the Yangtze River Economic Belt. The conclusion might be helpful to promote the coupling and coordinated development of urbanization in population-land-industry, and ultimately to improve urbanization quality in the Yangtze River Economic Belt.

scholarly journals Spatiotemporal Distribution Characteristics and Driving Forces of PM2.5 in Three Urban Agglomerations of the Yangtze River Economic Belt

2021 ◽  
Vol 18 (5) ◽  
pp. 2222
Author(s):  
Jin-Wei Yan ◽  
Fei Tao ◽  
Shuai-Qian Zhang ◽  
Shuang Lin ◽  
Tong Zhou
Keyword(s):  
Geographically Weighted Regression ◽  
Yangtze River ◽  
National Level ◽  
National Development ◽  
Urban Agglomeration ◽  
Spatiotemporal Distribution ◽  
Weighted Regression ◽  
Series Data ◽  
The Yangtze River ◽  
Urban Agglomerations

As part of one of the five major national development strategies, the Yangtze River Economic Belt (YREB), including the three national-level urban agglomerations (the Cheng-Yu urban agglomeration (CY-UA), the Yangtze River Middle-Reach urban agglomeration (YRMR-UA), and the Yangtze River Delta urban agglomeration (YRD-UA)), plays an important role in China’s urban development and economic construction. However, the rapid economic growth of the past decades has caused frequent regional air pollution incidents, as indicated by high levels of fine particulate matter (PM2.5). Therefore, a driving force factor analysis based on the PM2.5 of the whole area would provide more information. This paper focuses on the three urban agglomerations in the YREB and uses exploratory data analysis and geostatistics methods to describe the spatiotemporal distribution patterns of air quality based on long-term PM2.5 series data from 2015 to 2018. First, the main driving factor of the spatial stratified heterogeneity of PM2.5 was determined through the Geodetector model, and then the influence mechanism of the factors with strong explanatory power was extrapolated using the Multiscale Geographically Weighted Regression (MGWR) models. The results showed that the number of enterprises, social public vehicles, total precipitation, wind speed, and green coverage in the built-up area had the most significant impacts on the distribution of PM2.5. The regression by MGWR was found to be more efficient than that by traditional Geographically Weighted Regression (GWR), further showing that the main factors varied significantly among the three urban agglomerations in affecting the special and temporal features.

scholarly journals The Construction and Optimization of Ecological Security Pattern in the Harbin-Changchun Urban Agglomeration, China

2019 ◽  
Vol 16 (7) ◽  
pp. 1190 ◽  
Author(s):  
Rong Guo ◽  
Tong Wu ◽  
Mengran Liu ◽  
Mengshi Huang ◽  
Luigi Stendardo ◽  
...  
Keyword(s):  
Urban Agglomeration ◽  
Ecosystem Functions ◽  
Ecological Security ◽  
Least Cost Path ◽  
Rapid Urbanization ◽  
Songhua River ◽  
Urban Agglomerations ◽  
Ecological Corridors ◽  
Ecological Protection ◽  
Security Pattern

Urban agglomerations have become a new geographical unit in China, breaking the administrative fortresses between cities, which means that the population and economic activities between cities will become more intensive in the future. Constructing and optimizing the ecological security pattern of urban agglomerations is important for promoting harmonious social-economic development and ecological protection. Using the Harbin-Changchun urban agglomeration as a case study, we have identified ecological sources based on the evaluation of ecosystem functions. Based on the resistance surface modified by nighttime light (NTL) data, the potential ecological corridors were identified using the least-cost path method, and key ecological corridors were extracted using the gravity model. By combining 15 ecological sources, 119 corridors, 3 buffer zones, and 77 ecological nodes, the ecological security pattern (ESP) was constructed. The main land-use types composed of ecological sources and corridors are forest land, cultivated land, grassland, and water areas. Some ecological sources are occupied by construction, while unused land has the potential for ecological development. The ecological corridors in the central region are distributed circularly and extend to southeast side in the form of tree branches with the Songhua River as the central axis. Finally, this study proposes an optimizing pattern with "four belts, four zones, one axis, nine corridors, ten clusters and multi-centers" to provide decision makers with spatial strategies with respect to the conflicts between urban development and ecological protection during rapid urbanization.

scholarly journals Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

2021 ◽  
Vol 13 (14) ◽  
pp. 8032
Author(s):  
Chengzhuo Wu ◽  
Li Zhuo ◽  
Zhuo Chen ◽  
Haiyan Tao
Keyword(s):  
Influencing Factors ◽  
Information Flow ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Urban Agglomeration ◽  
Coordinated Development ◽  
Spatial Spillover ◽  
Urban Agglomerations ◽  
Search Index ◽  
Spatial Spillover Effect

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.

Cell culturing in a three-dimensional matrix affects the localization and properties of plasma membrane cholesterol

2009 ◽  
Vol 33 (10) ◽  
pp. 1079-1086 ◽  
Author(s):  
Nadezhda Stefanova ◽  
Galya Staneva ◽  
Diana Petkova ◽  
Teodora Lupanova ◽  
Roumen Pankov ◽  
...  
Keyword(s):  
Plasma Membrane ◽  
Three Dimensional ◽  
Membrane Cholesterol ◽  
Dimensional Matrix ◽  
Cell Culturing ◽  
Plasma Membrane Cholesterol

The Urbanization Spatial-Temporal Patterns Exploration of Capital Urban Agglomerations in Three Provinces of Central China

2013 ◽  
Vol 726-731 ◽  
pp. 5014-5019
Author(s):  
Jing Wang ◽  
Li Li Chang ◽  
Min Hang Yuan ◽  
Wen Yue Li
Keyword(s):  
Empirical Analysis ◽  
Regional Economics ◽  
Rapid Development ◽  
Spatial Association ◽  
Urban Agglomeration ◽  
Central China ◽  
Historical Evolution ◽  
Urban Agglomerations ◽  
Industrial Base ◽  
Old Industrial Base

Following strategies of Coastal Open Go West and Reviving Northeastern Old Industrial Base the state put forward the strategy of Rising of Central China in order to promote its rapid development. Urban agglomeration in Central China is becoming academic focus with unprecedented development momentum. It applies multidisciplinary theory of human geography, regional economics, etc. and takes urban agglomeration of Hunan, Henan and Hubei provinces for example to empirical analysis. Firstly, analyzing the historical evolution, urbanization space development and patterns then comes to spatial association of urban and rural through comparison, Finally, showing the development characteristics of urban agglomeration in Central China and putting forward urbanization suggestion.

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