scholarly journals Study on Population Distribution Pattern at the County Level of China

2018 ◽  
Vol 10 (10) ◽  
pp. 3598 ◽  
Author(s):  
Minmin Li ◽  
Biao He ◽  
Renzhong Guo ◽  
You Li ◽  
Yu Chen ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Urban Areas ◽  
System Analysis ◽  
Population Distribution ◽  
National Level ◽  
County Level ◽  
Rapid Urbanization ◽  
Structure Of Population ◽  
Distribution Structure

With the accelerating urbanization process, the population increasingly concentrates in urban areas. In view of the huge population in China and a series of problems in the process of rapid urbanization, there are no unified measures for characterizing the population pattern. This study explores the distribution pattern of the Chinese population and proposes a spatial distribution structure of population using GIS (Geographic Information System) analysis. The main findings are as follows: (1) In 2015, the distribution of population density in China presents a pattern of high in the southeast and low in the northwest based on the county-level administrative regions. The population main lives in the southeast of China based on the “Hu Huanyong Line”. (2) There is a great difference of the spatial correlation between land area, population and GDP (Gross Domestic Product) in China. The economic concentration in China is higher than the population concentration. In the areas where population and GDP are aggregated, per capita GDP is higher. (3) Based on the areas with highly aggregated population and GDP, the spatial distribution structure of population of “1 + 4 + 11” for China’s urbanization is put forward, namely, one national-level aggregated area of population and GDP, 4 regional-level aggregated areas of population and GDP, and 11 local regionally aggregated areas of population and GDP. This spatial structure represents an attempt to explore the direction of China’s urbanization, and it can be used to optimize the spatial development pattern and provide scientific guidance for the future urbanization plan.

scholarly journals Optimization of Population Distribution Pattern in China Based on Land Use Efficiency

2018 ◽  
Author(s):  
Minmin Li ◽  
Biao He ◽  
Renzhong Guo ◽  
You Li ◽  
Yu Chen ◽  
...  
Keyword(s):  
Land Use ◽  
Distribution Pattern ◽  
Urban Areas ◽  
Population Distribution ◽  
National Level ◽  
Rapid Urbanization ◽  
Land Use Efficiency ◽  
Economic Production ◽  
Use Efficiency ◽  
Economic Concentration

With the accelerating urbanization process, the population increasingly concentrates in urban areas. In view of the special situation in China and a series of problems in the process of rapid urbanization, there were no reasonable measures for optimizing the population pattern. This study explored the distribution pattern of the Chinese population and proposed an optimization plan for the population distribution using GIS analysis. The main findings were as follows. (1) From 2010 to 2015, the distribution of population density in China presented a pattern of high in the southeast and low in the northwest based on the county-level administrative regions. The population still showed a tendency to migrate to the southeast of the country based on the “Hu Huanyong Line”. (2) There was a great difference in the land use efficiency in terms of population and economic production in China. The economic concentration in China was higher than the population concentration. In the areas where population and economic production were aggregated, GDP per capita and land use efficiency were higher. (3) Based on the land use efficiency in terms of population and economic production, the optimized urbanization plan of “1+4+11” for China’s urbanization was put forward, namely, one national-level aggregated area of population and economic production, 4 regional-level aggregated areas of population and economic production, and 11 local regionally aggregated areas of population and economic production. This optimization plan for urbanization represents an attempt to explore the direction of China’s urbanization, and it can be used to optimize the spatial development pattern and provide scientific guidance for the new urbanization plan.

scholarly journals Modeling Spatiotemporal Population Changes by Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data in Chongqing, China

2021 ◽  
Vol 13 (2) ◽  
pp. 284
Author(s):  
Dan Lu ◽  
Yahui Wang ◽  
Qingyuan Yang ◽  
Kangchuan Su ◽  
Haozhe Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Relative Error ◽  
Urban Areas ◽  
Large Scale ◽  
Population Distribution ◽  
Spatial Optimization ◽  
Distribution Data ◽  
Mountainous Areas ◽  
Mean Relative Error ◽  
Nighttime Light

The sustained growth of non-farm wages has led to large-scale migration of rural population to cities in China, especially in mountainous areas. It is of great significance to study the spatial and temporal pattern of population migration mentioned above for guiding population spatial optimization and the effective supply of public services in the mountainous areas. Here, we determined the spatiotemporal evolution of population in the Chongqing municipality of China from 2000–2018 by employing multi-period spatial distribution data, including nighttime light (NTL) data from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). There was a power function relationship between the two datasets at the pixel scale, with a mean relative error of NTL integration of 8.19%, 4.78% less than achieved by a previous study at the provincial scale. The spatial simulations of population distribution achieved a mean relative error of 26.98%, improved the simulation accuracy for mountainous population by nearly 20% and confirmed the feasibility of this method in Chongqing. During the study period, the spatial distribution of Chongqing’s population has increased in the west and decreased in the east, while also increased in low-altitude areas and decreased in medium-high altitude areas. Population agglomeration was common in all of districts and counties and the population density of central urban areas and its surrounding areas significantly increased, while that of non-urban areas such as northeast Chongqing significantly decreased.

scholarly journals Recent land subsidence caused by the rapid urban development in the Hanoi region (Vietnam) using ALOS InSAR data

2014 ◽  
Vol 14 (3) ◽  
pp. 657-674 ◽  
Author(s):  
V. K. Dang ◽  
C. Doubre ◽  
C. Weber ◽  
N. Gourmelen ◽  
F. Masson
Keyword(s):  
Spatial Distribution ◽  
Urban Development ◽  
Land Subsidence ◽  
Urban Areas ◽  
Surface Deformation ◽  
Seasonal Fluctuation ◽  
Urban Region ◽  
Rapid Urbanization ◽  
Groundwater Levels ◽  
Multi Temporal

Abstract. Since the 1990s the land subsidence due to the rapid urbanization has been considered a severely destructive hazard in the center of Hanoi City. Although previous studies and measurements have quantified the subsiding deformation in Hanoi center, no data exist for the newly established districts in the south and the west, where construction development has been most significant and where groundwater pumping has been very intensive over the last decade. With a multi-temporal InSAR approach, we quantify the spatial distribution of the land subsidence in the entire Hanoi urban region using ALOS images over the 2007–2011 period. The map of the mean subsidence velocity reveals that the northern bank of the Red River appears stable, whereas some areas in southern bank are subsiding with a mean vertical rate up to 68.0 mm yr−1, especially within the three new urban districts of Hoang Mai, Ha Dong – Thanh Xuan and Hoai Duc – Tu Liem. We interpret the spatial distribution of the surface deformation as the combination of the nature of the unsaturated layer, the lowering of groundwater in the aquifers due to pumping withdrawal capacity, the increase of built-up surfaces and the type of building foundation. The piezometric level in Qp aquifer lowers particularly after 2008, whereas the groundwater level in Qh aquifer remains steady, even if it loses its seasonal fluctuation in urban areas and drawdowns in neighboring water production plants. The time evolution deduced from the InSAR time series is consistent with previous leveling data and shows that the lowering rate of the surface slightly decreases till 2008. The analysis of groundwater levels in instrumented wells shows a correlation between the behavior of groundwater with the urban development and the acceleration of groundwater withdrawal. Also, the time variations suggest that the deformation became non-stationary, with upward and downward transient displacements related to the charge and discharge of the aquifers.

scholarly journals Temporal and Spatial Distribution Pattern of Population at the South End of Hu Line in Recent 25 Years

2019 ◽  
Vol 131 ◽  
pp. 01054
Author(s):  
Yuting Liang ◽  
Huan Yu
Keyword(s):  
Spatial Distribution ◽  
Standard Deviation ◽  
Distribution Pattern ◽  
Population Distribution ◽  
High Density ◽  
Spatial Distribution Pattern ◽  
Spatial Data Analysis ◽  
Nuclear Density ◽  
Production Potential ◽  
Hu Line

The southern end of Hu Line mainly involves Sichuan and Yunnan provinces. In this paper, the spatial-temporal distribution pattern of population is analyzed by Standard Deviation Ellipse (SDE) and Exploratory Spatial Data Analysis (ESDA). The influence of human geography, natural geography and soil environmental factors on the spatial distribution of population and interactive interpretation are quantitatively calculated based on Geo-detector. The results show that: (1) the spatial distribution pattern of the population at the southern end of Hu Line is northeast-southwest. The spatial differences between the two sides are significant, the standard deviation ellipse turns weaker gradually, and the population distribution in southwestern China is balanced year by year. (2) The population concentration of the southern end of the Hu Line has been decreasing with the “U” type. Spatial aggregation occurs in high-density counties and surrounding high-density counties. The inaccessible regions appear in contiguous on the west side of the Hu Line. In less counties, there is a clear difference between the surrounding counties and the self, and the spatial distribution of the population tends to be balanced. (3) The dominant factors affecting the spatial distribution of population over the years are GDP density, nighttime lighting, road nuclear density, landforms, farmland production potential and elevation. (4) GDP density, road nuclear density, NDVI and NPP have a good interaction enhancement effect on population distribution. The first geographical intrinsic and the second geographic intrinsic evaluation index have the highest priority. The two-factor action intensity is greater than the single-factor action intensity, and the interaction type tends to be dominated by nonlinear enhancement. The spatial distribution of the population in the southern end of the Hu Line is mainly balanced by economic development and road construction. Night lighting, landform, farmland production potential, elevation, NDVI and NPP are potential factors for optimizing the population distribution at the southern end of the Hu Line.

scholarly journals Measurement of Polycentric County-Level Areas in a Rapid Urbanization Region from a Public Service Perspective

2020 ◽  
Vol 12 (19) ◽  
pp. 8285
Author(s):  
Mingyu Zhang ◽  
Yichen Ruan ◽  
Ge Lou ◽  
Qiuxiao Chen ◽  
Jiayi Wu
Keyword(s):  
Public Service ◽  
Public Transportation ◽  
Urban Areas ◽  
Local Governments ◽  
Spatial Scales ◽  
County Level ◽  
Urban Centers ◽  
Rapid Urbanization ◽  
Systematic Analysis ◽  
Service Perspective

Despite various studies regarding polycentric development at metropolis or even larger spatial scales, there is little systematic analysis regarding the rapid urbanization area at the county-level scale. Therefore, this study explored polycentric development in 52 county-level administrative units in Zhejiang Province, China, from a public service perspective. Based on point-of-interest data, our analysis detected the intra-county urban centers and measured their polycentric characteristics. According to the number, scale, and equilibrium value of intra-county polycentricity, the 52 county-level units were classified into three types using a two-step cluster algorithm method. The empirical results suggest that polycentric characteristics vary in the rapid urbanization area, and the spatial distribution of typological units is characterized by agglomeration. Topographical condition, fixed assets investment, public transportation, and residential consumption ability are highly associated with the classification of polycentric urban areas. The conclusion of this study would help local governments initiate better urban development policies and provide potential research directions for further studies about the relationship of inter-county urban centers.

Spatial Distribution Characteristics of Arable Land Grade in Chenggu

2014 ◽  
Vol 1010-1012 ◽  
pp. 1307-1311
Author(s):  
Xiao Ting Xu ◽  
Li Chun Sui ◽  
Dan Dan Shan ◽  
Sien Wang
Keyword(s):  
Spatial Distribution ◽  
System Analysis ◽  
Arable Land ◽  
National Level ◽  
Scientific Basis ◽  
Distribution Characteristics ◽  
Dry Land ◽  
Land Quality ◽  
Plain Area ◽  
Policies And Measures

The purpose of this paper is to grasp the distribution characteristics of arable land quality. Methods employed are system analysis method and spatial analysis function of ArcGIS. The results show that the arable land quality is relatively higher compared to the national level. Differences of arable land grade were significant among different agricultural grading zones. The arable land grade of Han River plain area is the highest. The grades of irrigable land and paddy field are higher than dry land, and the irrigable land is the highest. Topography, soil, irrigation conditions, population density, economic development level are the main factors causing the difference of arable land grade spatial distribution. The research can provide a scientific basis for policies and measures making about arable land quality protection and grade improvement.

The spatial distribution pattern of enterprises in Beijing and its influencing factors analysis based on POI data

2018 ◽  
Vol 3 (2) ◽  
pp. 148-159 ◽  
Author(s):  
Peng Wu ◽  
Shuqing Zhang ◽  
Huapeng Li ◽  
Xiaohui Ding ◽  
Yansheng Wei
Keyword(s):  
Spatial Distribution ◽  
Distribution Pattern ◽  
Urban Areas ◽  
Service Industry ◽  
Classical Mechanics ◽  
Kernel Density ◽  
Spatial Distribution Pattern ◽  
Distribution Analysis ◽  
Study Results ◽  
The Difference

Different urban elements may exhibit various aggregation patterns. It is of great significance to quantitatively investigate the disparity and connection among various aggregation patterns of urban elements for understanding the mechanism of urban development and supporting urban planning. In this paper, the point of interest (POI) of Beijing is taken as an example, and the distribution pattern and the level of agglomeration of POI in different industries are analyzed by kernel density estimation (KDE). The study found that the distribution density of POI in various industries in Beijing showed a trend of “higher in the eastern part and lower in the western part” and gradually decreased from the center to the outer. The aggregation of other industries’ POI, which is centered on enterprise POI, is analyzed by k-nearest method. The results show that the retail industry, bus station, and catering service industry are in a relatively concentrated distribution around the enterprise POI, and other urban elements are rarely distributing. In addition, this paper analyzes the kernel density chart by the vector analysis theory on landscape pattern, and how the spatial distribution pattern of enterprises is revealed by using the perspective of classical mechanics. It can be concluded that the formation of this kind of distribution comes from the centripetal force of the various industries and the axial traction of the northwest–southeast to the traffic trunk. Overall, the results of enterprise distribution analysis based on the POI data can explain part of the difference in business activities and economy distribution within urban areas. The study results of enterprise activities are also conducive to the strategy-making process of both governments and enterprises.

Demographic Changes in Iran's Officially Recognized Religious Minority Populations since the Islamic Revolution

2002 ◽  
Vol 1 (2) ◽  
pp. 63-86
Author(s):  
MOHAMMAD HEMMASI ◽  
CAROLYN V. PROROK
Keyword(s):  
Spatial Distribution ◽  
Urban Areas ◽  
National Level ◽  
Size Composition ◽  
Minority Populations ◽  
Demographic Changes ◽  
Islamic Revolution ◽  
Religious Minority ◽  
Dependency Ratios ◽  
Lower Fertility

ABSTRACT Besides Islam, Iran is home to adherents of three of the world's oldest religions: Zoroastrianism, Judaism and Christianity, and to one of the youngest, Baha'i. Significant changes have occurred in the size, composition, and spatial distribution of Iran's officially recognized religious minority populations since the 1970s. This study analyzes these demographic changes with a particular emphasis on their characteristics relative to the preand post-1979 Revolution. Overall, religious minority populations of Iran have drastically declined in number, and they have become increasingly concentrated in several urban areas during the last two decades. In comparison to Muslims, they have lower fertility, mortality, gender and dependency ratios, greater emigration, and a greater proportion of their populations is elderly. Both historic and contemporary socio-political and economic circumstances at the national level are the root causes of these demographic changes.

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