scholarly journals Using Earth Observation for Monitoring SDG 11.3.1-Ratio of Land Consumption Rate to Population Growth Rate in Mainland China

2020 ◽  
Vol 12 (3) ◽  
pp. 357 ◽  
Author(s):  
Yunchen Wang ◽  
Chunlin Huang ◽  
Yaya Feng ◽  
Minyan Zhao ◽  
Juan Gu
Keyword(s):  
Growth Rate ◽  
Sustainable Development ◽  
Population Growth ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Consumption Rate ◽  
Urban Expansion ◽  
Mainland China ◽  
Earth Observation ◽  
Land Consumption

Urban sustainable development has attracted widespread attention worldwide as it is closely linked with human survival. However, the growth of urban areas is frequently disproportionate in relation to population growth in developing countries; this discrepancy cannot be monitored solely using statistics. In this study, we integrated earth observation (EO) and statistical data monitoring the Sustainable Development Goals (SDG) 11.3.1: “The ratio of land consumption rate to the population growth rate (LCRPGR)”. Using the EO data (including China’s Land-Use/Cover Datasets (CLUDs) and the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data) and census, we extracted the percentage of built-up area, disaggregated the population using the geographically weighted regression (GWR) model, and depicted the spatial heterogeneity and dynamic tendency of urban expansion and population growth by a 1 km × 1 km grid at city and national levels in mainland China from 1990 to 2010. Then, the built-up area and population density datasets were compared with other products and statistics using the relative error and standard deviation in our research area. Major findings are as follows: (1) more than 95% of cities experienced growth in urban built-up areas, especially in the megacities with populations of 5–10 million; (2) the number of grids with a declined proportion of the population ranged from 47% in 1990–2000 to 54% in 2000–2010; (3) China’s LCRPGR value increased from 1.69 in 1990–2000 to 1.78 in 2000–2010, and the land consumption rate was 1.8 times higher than the population growth rate from 1990 to 2010; and (4) the number of cities experiencing uncoordinated development (i.e., where urban expansion is not synchronized with population growth) increased from 93 (27%) in 1990–2000 to 186 (54%) in 2000–2010. Using EO has the potential for monitoring the official SDGs on large and fine scales; the processes provide an example of the localization of SDG 11.3.1 in China.

scholarly journals Ratio of Land Consumption Rate to the Population Growth Rate- A Case of Metropolitan Gombe

2019 ◽  
Author(s):  
Ishiyaku Abdulkadir ◽  
J Sathish Kumar ◽  
Monica Noon
Keyword(s):  
Growth Rate ◽  
United Nations ◽  
Population Growth ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Consumption Rate ◽  
Urban Expansion ◽  
Impervious Surface ◽  
Consumption Rates ◽  
Land Consumption

United Nations Human Settlements Programme recommended equation and tools for reporting SDG indicator 11.3.1. This indicator aim at one ratio between population growth and land consumption rates in order to promote sustainable urban expansion. Because nowadays urban areas rapidly expand, with increasing rate of surface extent that over sweep the rate at which population grows. Trends.Earth was used for the key Impervious Surface Indices (30m resolution) and informed on urban trend, extent and SDG 11.3.1 of metropolitan Gombe for the periods 2000-2005, 2005-2010, and 2010-2015.The research reveals that SDG 11.3.1 for three periods stand at 0.4194, 0.4292, and 0.3041 respectively. The research also indicate that the population growth rate is greater than the land consumption.

scholarly journals Ratio of Land Consumption Rate to Population Growth Rate—Analysis of Different Formulations Applied to Mainland Portugal

2018 ◽  
Vol 8 (1) ◽  
pp. 10 ◽  
Author(s):  
Rita Nicolau ◽  
João David ◽  
Mário Caetano ◽  
José Pereira
Keyword(s):  
Land Use ◽  
Growth Rate ◽  
Land Cover ◽  
Population Growth ◽  
Urban Area ◽  
Population Growth Rate ◽  
Consumption Rate ◽  
Mapping Technique ◽  
Mainland Portugal ◽  
Land Consumption

This paper presents a methodological approach for the assessment of the indicator 11.3.1: “Ratio of Land Consumption Rate to Population Growth Rate” proposed by the United Nations (UN), discussing the definitions and assumptions that support the indicator quantification, and analysing the results provided by different formulations applied to mainland Portugal, at the municipality level. Due to specific limitations related to the actual formula proposed by the UN (LCRPGR) for the computation of the indicator, an alternative formulation derived from Land Use Efficiency (LUE) was explored. Considering that the land to which the indicator refers may be described by specific classes represented in Land Cover Land Use (LCLU) maps, in the estimation of the land consumption rate we tested two LCLU datasets: Corine Land Cover and COS—the Portuguese LCLU reference map. For the estimation of the population growth rate, prior allocation of inhabitants to the areas where people are most likely to reside was deemed necessary, using a dasymetric mapping technique based on LCLU information. The results obtained for 2007–2011 and 2011–2015 showed, in most municipalities, an increase in the urban area and a decrease in urban population, leading to negative values both in LCRPGR and LUE in most of the territory. Clearly, LUE performed better than LCRPGR in what urban development monitoring and urban area dynamics trends are concerned. Furthermore, LUE was much easier to interpret.

scholarly journals Ratio of Land Consumption Rate to Population Growth Rate - A Case of Gombe Metropolis

2020 ◽  
Author(s):  
Ishiyaku Abdulkadir ◽  
J. Sathish Kumar ◽  
Monica Noon
Keyword(s):  
Population Growth ◽  
Population Growth Rate ◽  
Consumption Rate ◽  
Urban Expansion ◽  
Ground Surface ◽  
Population Data ◽  
Impervious Surface ◽  
Human Needs ◽  
Land Consumption ◽  
Economic Developments

Demographic and socio-economic developments couple with other requirements to satisfy human needs result in rapid urban expansion sometimes with increasing rate of surface extent greater than the rate of growth of population, that result in continuous sealing of ground surface thereby affecting ecosystem services. This study applied remote sensing toward achieving the progress of SDGs and stage to determine the ratio of the rate of land consumption to the rate of population growth of Gombe metropolis. QGIS 2.18 was used for the image processing and classification analysis for the key Landsat ETM+ (Enhanced Thematic Mapper), Impervious Surface Indices and population data to inform on the urban trend and LCR/PGR for the periods 2000-2005, 2005-2010, and 2010-2015. The result appears that the LCR/PGR for the periods of study show split trends. During 2000-2005 the result shows that the study area expanded outward with LCR/PGR of 1.2. The result also indicate that during 2005-2010, the study area densified with little expansion with the LCR/PGR of 0.8. The result further reveals that during 2010-2015 the LCR/PGR reached 1.8. Pointing that the study area expanded outward with the rate of ground sealing getting high.

scholarly journals Psychiatry in Bangladesh

2006 ◽  
Vol 3 (3) ◽  
pp. 16-18 ◽  
Author(s):  
M. Rezaul Karim ◽  
Fakhruzzaman Shaheed ◽  
Siddhartha Paul
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
South Asia ◽  
Rural Areas ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Total Population ◽  
Land Area

The People's Republic of Bangladesh is located in South Asia. The total land area of Bangladesh is 147570 km2. Its total population in 2001 was about 123 million. The population growth rate is 1.47%; of the total population, 75% live in rural areas and 25% in urban areas (Bangladesh Bureau of Statistics, 2000).

scholarly journals Nigeria’s demographic transition and implications on the attainment of sustainable development goals

2021 ◽  
Vol 20 (1) ◽  
pp. 1-10
Author(s):  
Abubakar Yakubu Abbani
Keyword(s):  
Growth Rate ◽  
Sustainable Development ◽  
Population Growth ◽  
Population Growth Rate ◽  
Sustainable Development Goals ◽  
Environmental Indicators ◽  
Quality Education ◽  
Demographic And Health Surveys ◽  
Demographic Trends ◽  
Development Goals

The Sustainable Development Goals (SDGs) is a time-bound global development agenda with 17 goals which targets 169 social, economic, and environmental indicators agreed upon in 2015 by UN member states to be achieved by year 2030. The SDGs includes many targets and references to eradicating extreme poverty and hunger, improved health for women and children, enhance universal access to quality education, and gender equality, among others. This study utilised the reports of Nigeria Demographic and Health Surveys from 1990 to 2018 and the 2006 national population census results to understand and analyse Nigeria’s demographic trends (age structure, fertility and mortality rates) with the intention to understand how they may affect the country’s efforts towards realising the set targets of the SDGs relating to eradication of poverty and hunger, ensuring health of the people, providing quality education and empowering women and girls. Findings showed that Nigeria’s demographic trends is characterised by slowly declining mortality and fertility rates with high population growth rate, and a dismal performance in the SDGs targets relating to poverty, hunger, health, education and women empowerment. The country will have to slow down its population growth rate and invest heavily in education, healthcare and job creation to be able to achieve the targets of the SDGs by 2030.

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 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.

Sign in / Sign up

Export Citation Format

Share Document