The pan-European population distribution across consistently defined functional urban areas

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.

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Projecting population distribution under depopulation conditions in Japan: scenario analysis for future socio-ecological systems

Sustainability Science ◽

10.1007/s11625-020-00835-5 ◽

2020 ◽

Vol 16 (1) ◽

pp. 295-311 ◽

Cited By ~ 1

Author(s):

Keiko Hori ◽

Osamu Saito ◽

Shizuka Hashimoto ◽

Takanori Matsui ◽

Rumana Akter ◽

...

Keyword(s):

Urban Areas ◽

Population Distribution ◽

Natural Capital ◽

Simulated Population ◽

Projection Model ◽

Distribution Maps ◽

Scenario Analyses ◽

Population Loss ◽

Density Population ◽

Future Population

AbstractThis study develops a projection model of future population distribution on the basis of Japan’s current depopulation trend and applies this model to scenario analyses that assume population compactification and dispersion. The model enables a description of population migration at two levels. First, municipal populations are projected using the cohort-component method, and second, the spatial distribution of populations within municipalities is projected at a 500 m grid resolution with the use of the gravity model. Based on the Japanese depopulation context and the country’s National Spatial Strategy, the compact scenario predicts the formation of medium-scale regional urban areas (population centers located across Japan) and the concentration of people on high-density population areas within municipalities. Meanwhile, the dispersed scenario predicts the formation of more but smaller regional urban areas and the dispersion of the population to low-density areas. The simulated population distribution for 2050 reveals spatial change in population density and age structure, as well as an abundance of areas that were inhabited in 2015 but will be zero population areas by 2050. Overlay analysis of future land use maps and the simulated population distribution maps can contribute toward identifying areas where natural capital such as farmland and forest plantation should be managed but where there will be significant population loss by 2050.

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Urban Migration and Selective Acculturation: The Case of the Maori

Human Organization ◽

10.17730/humo.33.2.14828q232u253502 ◽

1974 ◽

Vol 33 (2) ◽

pp. 147-154 ◽

Cited By ~ 3

Author(s):

John Collette ◽

Pat O'Malley

Keyword(s):

World War Ii ◽

Indigenous People ◽

Urban Areas ◽

European Population ◽

Urban Setting ◽

Urban Migration ◽

World War ◽

Rapid Urbanization ◽

Rural And Urban ◽

The Social

The New Zealand Maori represent an important case study in the processes of urbanization and acculturation of an indigenous people. Whereas prior to World War II very few Maoris lived in cities, despite the existence of urban areas since the mid-nineteenth century, the postwar period has witnessed the most rapid urbanization of an indigenous people. By 1966, over one-half of the Maori population resided in cities and urban boroughs. The reasons for the occurrence of this phenomenon are discussed in terms of four factors: (1) changes in the attitudes of the European population; (2) changes in governmental policies concerning the social and economic development of the Maori population; (3) differences between the economic positions of rural and urban Maoris; and (4) the social changes effected by the military and logistic necessities of World War II. One of the most important features of Maori urbanization is that it is occurring without involving extensive loss or destruction of traditional Maori culture. It seems that the rapidity with which urbanization is occurring is at least partly responsible for the maintenance of traditional culture in the urban setting.

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The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10110747 ◽

2021 ◽

Vol 10 (11) ◽

pp. 747

Author(s):

Álvaro Bernabeu-Bautista ◽

Leticia Serrano-Estrada ◽

V. Raul Perez-Sanchez ◽

Pablo Martí

Keyword(s):

Social Network ◽

Urban Areas ◽

Population Distribution ◽

Land Value ◽

Economic Activities ◽

Social Network Data ◽

Location Patterns ◽

Age Range ◽

The Relationship ◽

The City

This research sheds light on the relationship between the presence of location-based social network (LBSN) data and other economic and demographic variables in the city of Valencia (Spain). For that purpose, a comparison is made between location patterns of geolocated data from various social networks (i.e., Google Places, Foursquare, Twitter, Airbnb and Idealista) and statistical information such as land value, average gross income, and population distribution by age range. The main findings show that there is no direct relationship between land value or age of registered population and the amount of social network data generated in a given area. However, a noteworthy coincidence was observed between Google Places data-clustering patterns, which represent the offer of economic activities, and the spatial concentration of the other LBSNs analyzed, suggesting that data from these sources are mostly generated in areas with a high density of economic activities.

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Mapping Population Distribution in Urban Areas: Using Sentinel-2A in Comparison with Landsat 8

GI_Forum ◽

10.1553/giscience2017_01_s93 ◽

2017 ◽

Vol 1 ◽

pp. 93-105

Author(s):

Arthur Lehner ◽

Klaus Steinnocher

Keyword(s):

Urban Areas ◽

Population Distribution ◽

Mapping Population ◽

Landsat 8 ◽

Sentinel 2A

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Can More Accurate Night-Time Remote Sensing Data Simulate a More Detailed Population Distribution?

Sustainability ◽

10.3390/su11164488 ◽

2019 ◽

Vol 11 (16) ◽

pp. 4488 ◽

Cited By ~ 5

Author(s):

Nannan Gao ◽

Fen Li ◽

Hui Zeng ◽

Daniël van Bilsen ◽

Martin De Jong

Keyword(s):

Remote Sensing ◽

Urban Areas ◽

Large Scale ◽

Population Distribution ◽

Remote Sensing Data ◽

Urban Land Use ◽

Residential Areas ◽

Night Time ◽

Sensing Data ◽

Population Distributions

Aging, shrinking cities, urban agglomerations and other new key terms continue to emerge when describing the large-scale population changes in various cities in mainland China. It is important to simulate the distribution of residential populations at a coarse scale to manage cities as a whole, and at a fine scale for policy making in infrastructure development. This paper analyzes the relationship between the DN (Digital number, value assigned to a pixel in a digital image) value of NPP-VIIRS (the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite) and LuoJia1-01 and the residential populations of urban areas at a district, sub-district, community and court level, to compare the influence of resolution of remote sensing data by taking urban land use to map out auxiliary data in which first-class (R1), second-class (R2) and third-class residential areas (R3) are distinguished by house price. The results show that LuoJia1-01 more accurately analyzes population distributions at a court level for second- and third-class residential areas, which account for over 85% of the total population. The accuracy of the LuoJia1-01 simulation data is higher than that of Landscan and GHS (European Commission Global Human Settlement) population. This can be used as an important tool for refining the simulation of residential population distributions. In the future, higher-resolution night-time light data could be used for research on accurate simulation analysis that scales down large-scale populations.

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Study on Population Distribution Pattern at the County Level of China

Sustainability ◽

10.3390/su10103598 ◽

2018 ◽

Vol 10 (10) ◽

pp. 3598 ◽

Cited By ~ 10

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.

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Mobility in India: Recent Trends and Issues Concerning Database

Social Change ◽

10.1177/0049085718800892 ◽

2018 ◽

Vol 48 (4) ◽

pp. 634-644

Author(s):

Amitabh Kundu

Keyword(s):

Rural Areas ◽

Urban Areas ◽

Population Distribution ◽

National Sample ◽

Sample Survey ◽

Age Cohorts ◽

Passenger Traffic ◽

Social Divisions ◽

The People ◽

Recent Trends

Dismissing the postulate that the geographical, linguistic and other social divisions are constraining the movement of Indians across states, researchers have presented evidences—pattern of rail passenger traffic, changes in population distribution across different age cohorts and so on to show that the movement of people across states is much larger than what has been generally determined, using the data from the census and National Sample Survey. The basic objective of the paper is to examine if the process of migration and urbanisation in India is indeed unconstrained so that the people in backward regions and rural areas, who get dispossessed of their livelihood options or social linkages, can freely move into the developed regions or urban areas, It analyses these processes and recent trends while probing into methodological and data related issues in migration studies in India. The migration trends for socio-economically vulnerable sections of population are presented in the context of their access to urban and metropolitan space.

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