Regulation of Urban Agglomeration Processes in Russia: Problems and Approaches to Their Solution

2019 ◽  
pp. 25-35
Author(s):  
N.I. Kuznetsov
Keyword(s):  
Urban Development ◽  
Urban Agglomeration ◽  
Global Trends ◽  
Urban Agglomerations

The author considers the peculiarities of regulation of urban agglomerations in Russia. The opinions of a number of experts on the relevant issues are presented and commented on, the author's approaches to their solution taking into account global trends in urban development are proposed.

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.

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.

scholarly journals The Evolution of the Urban Spatial Pattern in the Yangtze River Economic Belt: Based on Multi-Source Remote Sensing Data

2018 ◽  
Vol 10 (8) ◽  
pp. 2733 ◽  
Author(s):  
Yang Li ◽  
Hua Shao ◽  
Nan Jiang ◽  
Ge Shi ◽  
Xin Cheng
Keyword(s):  
Size Distribution ◽  
Urban Areas ◽  
Yangtze River ◽  
Size Structure ◽  
Urban Land ◽  
Urban Agglomeration ◽  
Spatial Distance ◽  
The Yangtze River ◽  
Urban Agglomerations ◽  
Urban Size

The development of the Yangtze River Economic Belt (YREB) is an important national regional development strategy and a strategic engineering development system. In this study, the evolution of urban spatial patterns in the YREB from 1990 to 2010 was mapped using the nighttime stable light (NSL) data, multi-temporal urban land products, and multiple sources of geographic data by using the rank-size distribution and the Gini coefficient method. Through statistical results, we found that urban land takes on the feature of “high in the east and low in the west”. The study area included cities of different development stages and sizes. The nighttime light increased in most cities from 1992 to 2010, and the rate assumed an obvious growth tendency in the three urban agglomerations in the YREB. The results revealed that the urban size distribution of the YREB is relatively dispersed, the speed of urban development is unequal, and the trend of urban size structure shows a decentralized distribution pattern that has continuously strengthened from 1990 to 2010. Affected by factors such as geographical conditions, spatial distance, and development stage, the lower reaches of the Yangtze River have developed rapidly, the upper and middle reaches have developed large cities, and a contiguous development trend is not obvious. The evolution of urban agglomerations in the region presents a variety of spatial development characteristics. Jiangsu, Zhejiang, and Shanghai have entered a phase of urban continuation, forming a more mature interregional urban agglomeration, while the YREB inland urban agglomerations are in suburbanization and multi-centered urban areas. At this stage, the conditions for the formation of transregional urban agglomerations do not yet exist, and there are many uncertainties in the boundary and spatial structure of each urban agglomeration.

scholarly journals Polycentric or monocentric, which kind of spatial structure is better for promoting the green economy? Evidence from Chinese urban agglomerations

2021 ◽  
Author(s):  
Yue Huang ◽  
Ruiwen Liao
Keyword(s):  
Spatial Structure ◽  
Structural Evolution ◽  
Development Planning ◽  
Urban Agglomeration ◽  
Green Economy ◽  
Economic Activities ◽  
Optimal Range ◽  
Urban Agglomerations ◽  
The Impact ◽  
Research Period

Abstract The green economy has gained worldwide attention, especially in the urban agglomerations where population and economic activities are highly concentrated. However, what kind of urban agglomeration spatial structure is more conducive to promoting the green economy? No clear conclusions have been made. Here, we study the impact of urban agglomeration spatial structure on the green economy, and also reveal how urban agglomeration spatial structure influences the three subsystems of green economy. We find that: (1) urban agglomeration spatial structural evolution is closely related to green economy, while in the research period, most urban agglomerations are not located in the optimal range of the spatial structure that drives the green economy. (2) Towards polycentric spatial structure is contributive to green economic growth, however, the excessively polycentric could not benefit green economy. (3) The evolution of urban agglomeration spatial structure exerts heterogenous impacts on the three subsystems when green economy is decomposed into economic subsystem, resources subsystem, and environmental subsystem. Towards polycentric is more conducive to the improvement of economic subsystem and resource subsystem, while, the tendency to monocentric drives the environmental subsystem development. (4) Lastly, our conclusions enlighten the urban agglomeration development planning and spatial mode for approaching a better performance in green economy.

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 Formation of the transport model of urban agglomeration

2018 ◽  
Vol 212 ◽  
pp. 05001 ◽  
Author(s):  
Alexei Levashov
Keyword(s):  
Transport Model ◽  
Urban Agglomeration ◽  
Urban Agglomerations

The paper is devoted to the problem of estimating the transport demand for movements in the cities, taking into account the transportation inside the urban agglomerations. An approach to the formation of a transport model of urban agglomeration based on the combination of several models of transport demand is considered in the article. The author proposes a methodology for estimating the distribution of movements between cities within the agglomeration at the time.

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