An Analysis on Regularity of City Population Distribution in City System

2018 ◽  
pp. 109-120
Author(s):  
Toshiharu Ishikawa
Keyword(s):  
Population Distribution ◽  
City Population ◽  
City System

scholarly journals Population patterns in World’s administrative units

2017 ◽  
Vol 4 (7) ◽  
pp. 170281 ◽  
Author(s):  
Oscar Fontanelli ◽  
Pedro Miramontes ◽  
Germinal Cocho ◽  
Wentian Li
Keyword(s):  
Power Law ◽  
Goodness Of Fit ◽  
Population Distribution ◽  
Population Data ◽  
One Dimension ◽  
City Population ◽  
Administrative Unit ◽  
Administrative Units ◽  
Extended Discussion ◽  
Generalized Beta Distribution

Whereas there has been an extended discussion concerning city population distribution, little has been said about that of administrative divisions. In this work, we investigate the population distribution of second-level administrative units of 150 countries and territories and propose the discrete generalized beta distribution (DGBD) rank-size function to describe the data. After testing the balance between the goodness of fit and number of parameters of this function compared with a power law, which is the most common model for city population, the DGBD is a good statistical model for 96% of our datasets and preferred over a power law in almost every case. Moreover, the DGBD is preferred over a power law for fitting country population data, which can be seen as the zeroth-level administrative unit. We present a computational toy model to simulate the formation of administrative divisions in one dimension and give numerical evidence that the DGBD arises from a particular case of this model. This model, along with the fitting of the DGBD, proves adequate in reproducing and describing local unit evolution and its effect on the population distribution.

scholarly journals Optimized Distribution of Beijing Population Based on CA-MAS

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Haoguang Liang ◽  
Zhong Wang
Keyword(s):  
Population Distribution ◽  
Population Based ◽  
Small Towns ◽  
Rapid Expansion ◽  
Mixed Use ◽  
City Population ◽  
Public Resources ◽  
The City ◽  
Resources Planning

In recent years rapid expansion of populations, disruption of ecological environments, and power shortages to areas of high population density in undeveloped areas have appeared in major cities in China. Well-planned population distribution in a city has become one of the key development strategies of urbanization in the country. Taking Beijing as a case-study and using 2010 as the base period, this study simulates city population size and distribution during 2011–2030 using the CA-MAS model. The results showed that (1) the unplanned layout of Beijing’s population is inefficient and will result in the slow agglomeration of populations into surrounding small towns, (2) the suburbanization of the population (while employment opportunities remain centralized) increases the stress of the city commuters, (3) the current policy guiding the distribution of residential and commercial areas is effective, accelerating the formation of small town clusters, which play a role in the city’s radiation and diffusion, contributing to reducing urban commuter stress, and (4) promoting the homogenization of public resources, planning the development of a multicenter urban area, and promoting mixed use (commercial and residential) zoning are the main measures recommended to strengthen the sustainability of Beijing’s urban development and to optimize spatial layout.

scholarly journals Order, scale structure and coupling types of coastal port city system from the perspective of multi-function

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Jianke Guo ◽  
Lulu Wu ◽  
Bo Li ◽  
Yafeng Qin
Keyword(s):  
Hierarchical Structure ◽  
Population Distribution ◽  
System Structure ◽  
Functional Coupling ◽  
Port City ◽  
Port Cities ◽  
Scale Free ◽  
Functional Development ◽  
Free Region ◽  
City System

Using the rank scale rule, taking 47 major port cities in China from 2001 to 2015 as research samples, this paper discusses the rank scale characteristics and hierarchical structure of coastal port city system from a multi-functional perspective, and divides the coupling type of multi-functional development based on shipping logistics. The research shows that: 1) from 2001 to 2015, the scale-free area of manufacturing function order scale distribution in the coastal port city system appeared bifractal structure, the hierarchical segmentation characteristics appeared, and the other functions were single fractal; From the perspective of long-term evolution, only the order and scale distribution of shipping logistics function has developed from centralization to equilibrium, while the business function, manufacturing function (scale-free region I), modern service function and population distribution function are in a centralized situation. 2) The hierarchical structure of coastal port city system has gradually changed from pyramid structure to spindle structure, and generally formed five levels: national hub, regional hub, regional sub center, regional node and local node. 3) From the perspective of multi-functional coupling types, the traditional functions of port cities are generally ahead, while the high-end service functions lag behind, and the improvement speed of urban functions is slow and tends to be flat, indicating that the multi-functional development of China’s coastal port cities is still at a low level, and the industrial system structure needs to be further optimized. 4) From the perspective of port cities at different levels, the functions of regional hub cities and regional sub central cities are in the stage of rapid growth; regional and local node cities are still in the growth stage of traditional functions such as industry and commerce.

Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

Awareness of benign prostatic hyperplasia among Taif city population, Saudi Arabia

2020 ◽  
pp. 88-94
Author(s):  
Gamal Elnemr ◽  
Adel Altalhi ◽  
Mazen Althobiti ◽  
Khalid Althobaiti ◽  
Mishari Alasmri
Keyword(s):  
Saudi Arabia ◽  
Benign Prostatic Hyperplasia ◽  
Prostatic Hyperplasia ◽  
City Population

Clinical Epidemiology of Coronavirus Disease 2019:Defined on Current Research

2020 ◽  
pp. 54-72 ◽  
Author(s):  
Fengyu Zhang ◽  
Claude Hughes
Keyword(s):  
Clinical Presentation ◽  
Population Distribution ◽  
Clinical Epidemiology ◽  
Case Fatality ◽  
Immunological Response ◽  
Prevention Strategies ◽  
Clinical Type ◽  
Global Pandemic ◽  
Potential Therapeutics

Coronavirus disease 2019 (COVID-19) is a new infectious respiratory disease that has caused the ongoing global pandemic. The primary purpose of this article is to describe evolving clinical epidemiology of COVID-19, including 1) infection and testing, 2) clinical spectrum including classification of clinical type, asymptomatic cases, severe cases and comorbidity, and clinical and immunological response, 3) regional variation in clinical presentation, 4) population distribution by age, sex, and occupation, and finally, 5) case-fatality. This content may provide important information on detailed clinical type and presentation of the disease, in which appropriate clinical outcomes can be derived for developing prevention strategies and clinical studies or trials that aim to test potential therapeutics or products for different patient populations.

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