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 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 Identification of urban land use efficiency by indicator-SDG 11.3.1

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244318
Author(s):  
Guoyin Cai ◽  
Jinxi Zhang ◽  
Mingyi Du ◽  
Chaopeng Li ◽  
Shu Peng
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Positive Impact ◽  
Urban Land ◽  
Urban Land Use ◽  
Rapid Urbanization ◽  
Error Matrix ◽  
Land Use Efficiency ◽  
Multiple Data ◽  
Use Efficiency

Inefficiency in urban land use is one of the problems caused by rapid urbanization. The UN Sustainable Development Goals (SDGs) indicator 11.3.1 is designed to test urban land use efficiency. This study employed geospatial and statistical data to compute land use efficiencies from 1990 to 2015 with five 5-year and ten 15-year intervals in Wukang, center of Deqing County, China. A flowchart was designed to extract the built-up lands from multiple data sources. The produced built-up lands were demonstrated to provide good accuracy by constructing an error matrix between the extracted and manually interpreted built-up lands as classified and reference images, respectively. By using the model provided by UN metadata to calculate SDG 11.3.1, the land use efficiencies from 1990 to 2015 were identified in Wukang. Our results indicate that the land use efficiency in Deqing County center is lower than the average of cities around the world, primarily because our in-situ study focused on a county center with larger rural regions than urban areas. Over the long term, urban land use becomes denser as the population grows, which will have a positive impact on the sustainability of urban development. This work is helpful for the local government to balance urban land consumption and population growth.

scholarly journals Urban Sprawl and Changes in Land-Use Efficiency in the Beijing–Tianjin–Hebei Region, China from 2000 to 2020: A Spatiotemporal Analysis Using Earth Observation Data

2021 ◽  
Vol 13 (15) ◽  
pp. 2850
Author(s):  
Meiling Zhou ◽  
Linlin Lu ◽  
Huadong Guo ◽  
Qihao Weng ◽  
Shisong Cao ◽  
...  
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Urban Areas ◽  
Landsat Imagery ◽  
Spatiotemporal Analysis ◽  
Google Earth ◽  
Observation Data ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Bth Region

Sustainable development in urban areas is at the core of the implementation of the UN 2030 Agenda and the Sustainable Development Goals (SDG). Analysis of SDG indicator 11.3.1—Land-use efficiency based on functional urban boundaries—provides a globally harmonized avenue for tracking changes in urban settlements in different areas. In this study, a methodology was developed to map built-up areas using time-series of Landsat imagery on the Google Earth Engine cloud platform. By fusing the mapping results with four available land-cover products—GlobeLand30, GHS-Built, GAIA and GLC_FCS-2020—a new built-up area product (BTH_BU) was generated for the Beijing–Tianjin–Hebei (BTH) region, China for the time period 2000–2020. Using the BTH_BU product, functional urban boundaries were created, and changes in the size of the urban areas and their form were analyzed for the 13 cities in the BTH region from 2000 to 2020. Finally, the spatiotemporal dynamics of SDG 11.3.1 indicators were analyzed for these cities. The results showed that the urban built-up area could be extracted effectively using the BTH_BU method, giving an overall accuracy and kappa coefficient of 0.93 and 0.85, respectively. The overall ratio of the land consumption rate to population growth rate (LCRPGR) in the BTH region fluctuated from 1.142 in 2000–2005 to 0.946 in 2005–2010, 2.232 in 2010–2015 and 1.538 in 2015–2020. Diverged changing trends of LCRPGR values in cities with different population sizes in the study area. Apart from the megacities of Beijing and Tianjin, after 2010, the LCRPGR values were greater than 2 in all the cities in the region. The cities classed as either small or very small had the highest LCRPGR values; however, some of these cities, such as Chengde and Hengshui, experienced population loss in 2005–2010. To mitigate the negative impacts of low-density sprawl on environment and resources, local decision makers should optimize the utilization of land resources and improve land-use efficiency in cities, especially in the small cities in the BTH region.

scholarly journals Seasonality on Transplanting Monocropped Lettuce and Intercropping With Staked Summer Squash

2020 ◽  
Vol 8 (4) ◽  
pp. 316
Author(s):  
Leonardo Diogo Ehle Dias ◽  
Jucimar Ferreira Neves ◽  
Leandro Batista Da Silva ◽  
Franciely Da Silva Ponce ◽  
Oscar Mitsuo Yamashita ◽  
...  
Keyword(s):  
Land Use ◽  
Lactuca Sativa ◽  
Urban Areas ◽  
Cropping Systems ◽  
Cucurbita Moschata ◽  
Mato Grosso ◽  
Land Use Efficiency ◽  
Summer Squash ◽  
Use Efficiency ◽  
Crop System

Lettuce and summer squash are two important vegetables cultivated in peri-urban areas the cities in Mato Grosso State, Brazil. Their intercropping can increase the efficiency of the use of the area and the seasonality of harvest. This study aimed to evaluate the performance of lettuce (Lactuca sativa) and summer squash (Cucurbita moschata) in a conventional crop system and intercropped with different lettuce transplant period. These being the result of mono-cropping systems and intercropped lettuce with staked summer squash in six transplanting seasons of the lettuce and the monocropping of the trailing summer squash. The simultaneous transplantation of the two species provided the best performance of the lettuce. Summer squash production per plant did not differ between cropping systems; however, increased productivity was obtained with intercropping due to the higher density of plants. All the periods of inter-cropping establishment showed positive rates of land-use efficiency. For the summer squash production, intercropping systems provide better yield; however, the system hampers the development and production of lettuce.

scholarly journals Estimation of Urban Land-Use Efficiency for Sustainable Development by Integrating over 30-Year Landsat Imagery with Population Data: A Case Study of Ha Long, Vietnam

2021 ◽  
Vol 13 (16) ◽  
pp. 8848
Author(s):  
Shokhrukh-Mirzo Jalilov ◽  
Yun Chen ◽  
Nguyen Hong Quang ◽  
Minh Nguyen Nguyen ◽  
Ben Leighton ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Consumption Rate ◽  
Landsat Imagery ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Land Consumption

Humans are moving into urban areas at an accelerated pace. An increasing urban population fuels urban expansion and reduces nearby agricultural lands and natural environments such as forests, swamps, other water-pervious areas. Unsustainable development creates a disproportion between the growth of urban areas and the growth in urban population. The UN SDG indicator 11.3.1 specifically addresses the issue of the measurement of land-use efficiency. While the metric and methodology to estimate the indicator are straightforward, it faces problems of data unavailability and inconsistency. Vietnam has a record of tremendous economic growth that has translated into more urban settlements of size. Consequently, rural population movement into urban areas has led to many urban sustainable planning and development challenges. In the absence of previous work on estimating land-use efficiency in Vietnamese cities, this study makes the first attempt to examine land-use efficiency in Ha Long, one of the country’s fast-growing cities in recent decades. We mapped land use from high-resolution Landsat imagery (30 m) spanning multi-decadal observations from 1986 to 2020. An advanced machine learning approach, the Support Vector Machine algorithm, was applied to estimate the built-up area, which, by integration with census data, is essential for calculating SDG indicator 11.3.1. This study shows that the land-use efficiency metric was positive but small at the beginning of the considered period but increased in 2000–2020. These results suggest that before 2000, the urban land consumption rate in Ha Long was lower than the population growth rate, implying denser urban land use. The situation changed to the opposite when the urban land consumption rate exceeded the population growth rate in the past two decades. The study’s approach is applicable to regional and district levels to provide comparative analyses between cities or parts of a region or districts of the city. These analyses are valuable tools for assessing the impact of local urban and municipal planning policies on urban development.

scholarly journals Spatio-Econometric Analysis of Urban Land Use Efficiency in China from the Perspective of Natural Resources Input and Undesirable Outputs: A Case Study of 287 Cities in China

2020 ◽  
Vol 17 (19) ◽  
pp. 7297
Author(s):  
Xiao Han ◽  
Anlu Zhang ◽  
Yinying Cai
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
Natural Resources ◽  
Clean Energy ◽  
Urban Land ◽  
Urban Land Use ◽  
Sustainable Urban Development ◽  
Rapid Urbanization ◽  
Land Use Efficiency ◽  
Use Efficiency

The rapid urbanization in China has had a huge impact on land use and the scarcity of land resources has become a constraint for sustainable urban development. As urban land is an indispensable material basis in economic development, measuring its use efficiency and adopting effective policies to improve urban land use efficiency (ULUE) are important links in maintaining sustainable economic growth. By establishing a comprehensive ULUE evaluation index system that emphasizes on incorporating the natural resources input and the undesirable output, ULUE from 2010 to 2016 was calculated based on super efficiency SBM model, and its potential influencing factors were explored using a spatial econometric model. The results show that: (1) temporally, the overall ULUE in China is upward growing, and the gap among regions is becoming gradually convergent. (2) Spatially, the ULUE of Chinese cities are positively correlated. (3) Economic agglomeration and industrial structure significantly improve ULUE in China, but the intensity of energy consumption has a negative impact on ULUE. We suggest that: (1) differentiated industrial development strategies should be formulated; (2) the economic growth pattern should be changed from energy-consuming to energy-saving; (3) priority should be given to innovation on science and education, so as to increase in clean energy input and cleaner production.

scholarly journals Urban Land-Use Efficiency Analysis by Integrating LCRPGR and Additional Indicators

2021 ◽  
Vol 13 (24) ◽  
pp. 13518
Author(s):  
Chaopeng Li ◽  
Guoyin Cai ◽  
Zhongchang Sun
Keyword(s):  
Land Use ◽  
Population Growth ◽  
Urban Areas ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Land Consumption ◽  
The Relationship

Sustainable Development Goal (SDG) target 11.3 is to enhance inclusive and sustainable urbanisation and capacity for participatory, integrated, and sustainable human settlement planning and management in all countries by 2030. Within that goal, the indicator SDG 11.3.1 is defined as the ratio of land consumption rate to population growth rate (LCRPGR). This ratio is primarily used to measure urban land-use efficiency and reveal the relationship between urban land consumption and population growth. The LCRPGR indicator is aimed at representing overall urban land-use efficiency. This study added compactness, urban expansion speed, and urban expansion intensity to better reflect the impact of built-up area changes on the overall urban land-use efficiency. In addition, this study combined LCRPGR and the land consumption per capita rate (LCPC) to comprehensively analyse the relationship between land consumption and population growth in existing built urban areas, expanded built urban areas, and total built areas. This study employed three years of urban built-up and population data for 2010, 2015, and 2020 for 338 cities along the Belt and Road region to analyse land-use efficiency. The results show that the average LCRPGR for the period 2010–2015 was 1.01, which is close to the recommended ideal LCRPGR value of 1.0 in the United Nations Human Settlements Programme. For 2015–2020, the LCRPGR was 0.71, indicating that the overall urban land consumption in the study area decreased. This is also supported by the fact that the urban expansion intensity in 2020 was weaker than that in 2015. In addition, according to research on the tendency of changes in the entire urban built-up area, the smaller the urban population, the slower the urban expansion speed, the smaller the compactness, and the increasingly complex the urban borders. In cities where the overall LCRPGR is far from the ideal value of 1, the entire built-up area is divided into existing and expanded urban regions. It was found that the average LCPC value in expanded built-up areas was higher than that of existing built-up areas, showing that as cities developed, the LCPC of the newly developed urban areas was greater than that of existing built-up areas. Meanwhile, the LCPC in the expanded built-up areas showed a decreasing trend over time from 2010 to 2015 to 2020, indicating that land use in the expanded built-up regions tended to be efficient. These findings provide helpful information in decision making for balancing urban land consumption with population growth.

scholarly journals Multi-Scale Estimation of Land Use Efficiency (SDG 11.3.1) across 25 Years Using Global Open and Free Data

2019 ◽  
Vol 11 (20) ◽  
pp. 5674 ◽  
Author(s):  
Marcello Schiavina ◽  
Michele Melchiorri ◽  
Christina Corbane ◽  
Aneta Florczyk ◽  
Sergio Freire ◽  
...  
Keyword(s):  
Land Use ◽  
Population Distribution ◽  
Research Centre ◽  
Sources Of Information ◽  
Human Settlements ◽  
Joint Research ◽  
Land Use Efficiency ◽  
Tier Ii ◽  
Free Data ◽  
Use Efficiency

Sustainable Development Goal (SDG) 11 aspires to “Make cities and human settlements inclusive, safe, resilient and sustainable”, and the introduction of an explicit urban goal testifies to the importance of urbanisation. The understanding of the process of urbanisation and the capacity to monitor the SDGs require a wealth of open, reliable, locally yet globally comparable data, and a fully-fledged data revolution. In this framework, the European Commission–Joint Research Centre has developed a suite of (open and free) data and tools named Global Human Settlement Layer (GHSL) which maps the human presence on Earth (built-up areas, population distribution and settlement typologies) between 1975 and 2015. The GHSL supplies information on the progressive expansion of built-up areas on Earth and population dynamics in human settlements, with both sources of information serving as baseline data to quantify land use efficiency (LUE), listed as a Tier II indicator for SDG 11 (11.3.1). In this paper, we present the profile of the LUE across several territorial scales between 1990 and 2015, highlighting diverse development trajectories and the land take efficiency of different human settlements. Our results show that (i) the GHSL framework allows us to estimate LUE for the entire planet at several territorial scales, opening the opportunity of lifting the LUE indicator from its Tier II classification; (ii) the current formulation of the LUE is substantially subject to path dependency; and (iii) it requires additional spatially-explicit metrics for its interpretation. We propose the Achieved Population Density in Expansion Areas and the Marginal Land Consumption per New Inhabitant metrics for this purpose. The study is planetary and multi-temporal in coverage, demonstrating the value of well-designed, open and free, fine-scale geospatial information on human settlements in supporting policy and monitoring progress made towards meeting the SDGs.

scholarly journals An assessment of urbanization sustainability in China between 1990 and 2015 using land use efficiency indicators

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Huiping Jiang ◽  
Zhongchang Sun ◽  
Huadong Guo ◽  
Qihao Weng ◽  
Wenjie Du ◽  
...  
Keyword(s):  
Land Use ◽  
Census Data ◽  
Environmental Changes ◽  
Economic Transformation ◽  
Central China ◽  
Rapid Urbanization ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Land Consumption ◽  
Efficiency Indicators

AbstractThe sustainability of China’s rapid urbanization is of significance in the implementation of the 2030 Agenda for Sustainable Development. Here we integrated Earth observation and census data to estimate the relationship between land, population and economic domains of urbanization in 433 cities over 25 years using land use efficiency indicators. We find that the rise in ratio of land consumption to population growth rates (LCRPGR) was paralleled by a decline in ratio of economic growth to land consumption rates (EGRLCR). LCRPGR and EGRLCR of cities in Northeast China showed an abnormal and intense dynamics compared to other regions, suggesting that the northeastern region is more vulnerable to socioeconomic and environmental changes. The spatial expansion of superlarge cities in Central China may be unrestrained and should be the focus of strengthened regulations now and in the near future. The resource-dependent cities faced severe challenges for more effective actions of both economic transformation and population migration. Nonetheless, the gap of land use efficiency indicators between different income groups of the cities has been narrowed between 1990 and 2015, indicating that the evolution of urbanization in China is heading toward a more sustainable and coordinated process.

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