The Dependence of Population Distribution on Location Costs

1972 ◽  
Vol 4 (2) ◽  
pp. 163-181 ◽  
Author(s):  
J C Amson
Keyword(s):  
Economic Theory ◽  
Population Density ◽  
Density Distribution ◽  
Spatial Pattern ◽  
Population Distribution ◽  
Urban Housing ◽  
Housing Demand ◽  
Population System ◽  
Generalised Cost ◽  
Familiar Result

Part of a household's constrained budget is assumed to be comprised of a general cost of location. By using a simple generalisation of Muth's economic theory of the spatial pattern of urban housing, the population density distribution in a plane city is shown to be dependent on the distribution of this generalised cost of location. If housing demand is elastic, then this dependence is shown to be exponential, a conclusion which agrees with a familiar result obtained by maximising the entropy of a population system subject to a cost constraint. If the housing demand is less or more elastic, then the dependence is binomial. Implications of the theory are discussed and illustrations given.

scholarly journals Population Distribution in the Wake of a Sphere

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1498 ◽  
Author(s):  
Taraprasad Bhowmick ◽  
Yong Wang ◽  
Michele Iovieno ◽  
Gholamhossein Bagheri ◽  
Eberhard Bodenschatz
Keyword(s):  
Reynolds Number ◽  
Spatial Distribution ◽  
Population Density ◽  
Density Distribution ◽  
Population Distribution ◽  
Fluid Velocity ◽  
Three Dimensional ◽  
Wake Flow ◽  
Sample Number ◽  
Scalar Fluxes

The physics of heat and mass transfer from an object in its wake has significant importance in natural phenomena as well as across many engineering applications. Here, we report numerical results on the population density of the spatial distribution of fluid velocity, pressure, scalar concentration, and scalar fluxes of a wake flow past a sphere in the steady wake regime (Reynolds number 25 to 285). Our findings show that the spatial population distributions of the fluid and the transported scalar quantities in the wake follow a Cauchy-Lorentz or Lorentzian trend, indicating a variation in its sample number density inversely proportional to the squared of its magnitude. We observe this universal form of population distribution both in the symmetric wake regime and in the more complex three dimensional wake structure of the steady oblique regime with Reynolds number larger than 225. The population density distribution identifies the increase in dimensionless kinetic energy and scalar fluxes with the increase in Reynolds number, whereas the dimensionless scalar population density shows negligible variation with the Reynolds number. Descriptive statistics in the form of population density distribution of the spatial distribution of the fluid velocity and the transported scalar quantities is important for understanding the transport and local reaction processes in specific regions of the wake, which can be used e.g., for understanding the microphysics of cloud droplets and aerosol interactions, or in the technical flows where droplets interact physically or chemically with the environment.

scholarly journals Urban Spatial Structure in Barcelona (1902–2011): Immigration, Spatial Segregation and New Centrality Governance

2020 ◽  
Author(s):  
Miquel-Àngel Garcia-López ◽  
Rosella Nicolini ◽  
José Luis Roig Sabaté
Keyword(s):  
Population Density ◽  
Spatial Structure ◽  
Density Distribution ◽  
Population Distribution ◽  
Research Question ◽  
Central Business District ◽  
Distribution Patterns ◽  
Urban Spatial Structure ◽  
The Impact ◽  
Over Time

AbstractThis paper investigates the impact of the city’s urban spatial structure in shaping population density distribution over time. This research question is relevant in Barcelona because urban population grew at a sustained pace in various decades due to intense immigration inflows. When the urban spatial structure fails to behave as the backbone of population density distribution, population distribution can suffer from polarization problems. We conduct our empirical study using an urban monocentric framework, tracking the different spatial distribution patterns of the overall population and a few selected urban communities in light of the degree of attractiveness of the central business district (CBD). To this end, we construct an original database by each district in Barcelona from 1902 to 2011 and perform an econometric analysis. Our results reveal that the urban spatial structure continued to be a crucial determinant over time for shaping the overall population distribution in Barcelona and in almost all selected communities. However, its importance fluctuated over time, bottoming out in the 1950s–1960s, and whose resurgence was mostly driven by the political initiative to create a new centrality in the urban periphery. This policy reinforced the attractiveness of the CBD, resulting in the de-facto avoidance of urban polarization.

scholarly journals A Method for the Estimation of Finely-Grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records

2020 ◽  
Vol 12 (16) ◽  
pp. 2572 ◽  
Author(s):  
Guangyuan Zhang ◽  
Xiaoping Rui ◽  
Stefan Poslad ◽  
Xianfeng Song ◽  
Yonglei Fan ◽  
...  
Keyword(s):  
Population Density ◽  
Density Distribution ◽  
Temporal Resolution ◽  
Human Population ◽  
Population Distribution ◽  
Ground Truth ◽  
Mobile Phone Data ◽  
Ground Truth Data ◽  
Density Distributions ◽  
Population Distributions

Estimating and mapping population distributions dynamically at a city-wide spatial scale, including those covering suburban areas, has profound, practical, applications such as urban and transportation planning, public safety warning, disaster impact assessment and epidemiological modelling, which benefits governments, merchants and citizens. More recently, call detail record (CDR) of mobile phone data has been used to estimate human population distributions. However, there is a key challenge that the accuracy of such a method is difficult to validate because there is no ground truth data for the dynamic population density distribution in time scales such as hourly. In this study, we present a simple and accurate method to generate more finely grained temporal-spatial population density distributions based upon CDR data. We designed an experiment to test our method based upon the use of a deep convolutional generative adversarial network (DCGAN). In this experiment, the highest spatial resolution of every grid cell is 125125 square metre, while the temporal resolution can vary from minutes to hours with varying accuracy. To demonstrate our method, we present an application of how to map the estimated population density distribution dynamically for CDR big data from Beijing, choosing a half hour as the temporal resolution. Finally, in order to cross-check previous studies that claim the population distribution at nighttime (from 8 p.m. to 8 a.m. on the next day) mapped by Beijing census data are similar to the ground truth data, we estimated the baseline distribution, first, based upon records in CDRs. Second, we estimate a baseline distribution based upon Global Navigation Satellite System (GNSS) data. The results also show the Root Mean Square Error (RMSE) is about 5000 while the two baseline distributions mentioned above have an RMSE of over 13,500. Our estimation method provides a fast and simple process to map people’s actual density distributions at a more finely grained, i.e., hourly, temporal resolution.

scholarly journals Ex-situ population of White-rumped Shama (Copsychus malabaricus): studies of density, distribution and bird keepers in Bengkulu, Sumatra

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Heri Dwi Putranto ◽  
BIENG BRATA ◽  
YOSSIE YUMIATI
Keyword(s):  
Population Density ◽  
Density Distribution ◽  
Sampling Method ◽  
Negative Binomial ◽  
Population Distribution ◽  
Population Data ◽  
Ex Situ ◽  
Snowball Sampling ◽  
Observation Method ◽  
Density Population

Abstract. Putranto HD, Brata B, Yumiati Y. 2020. Ex-situ population of White-rumped Shama (Copsychus malabaricus): Studies of density, distribution and bird keepers in Bengkulu, Sumatra. Biodiversitas 21: 865-874. Purpose of this research was to estimate number of White-rumped Shama (Copsychus malabaricus) or locally known as murai batu which are kept by Bengkulu's bird keepers, analyze its population density, population distribution, and the profile of bird keepers. Researcher used field observation method by conducting interviews during June-September 2019. Respondents were determined using purposive sampling method and sampling was continued by snowball sampling method. Bird population data were analyzed by using population density formula and population distribution formula, while profile of bird keepers was analyzed descriptively. In 9 sub-districts of Bengkulu City total of 642 birds that are kept by bird keepers in ex-situ habitat, consisting of 434 males and 208 females with sex ratio approximately of 2:1. Population density was 4.23 birds per km2 (2.86 male birds/km2 and 1.37 female birds/km2). Population distribution by a Variance-Mean Ratio formula was 4.8 or VMR > 1. Furthermore, there were 79 keepers consist of 78 male bird keepers (98.7% ) and 1 female keeper (1.27%). Eleven bird keepers (13.9%) were categorized as captive breeders and 68 keepers (86.1%) were categorized as bird hobbyists. In conclusion, density population of ex-situ White-rumped Shama in Bengkulu City was 4.23 birds per km2, and population distribution interpreted as negative binomial distribution. Bird keepers were divided into two groups, captive breeders and bird hobbyists.

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.

scholarly journals EARLY 20TH-CENTURY WOODEN TENEMENT BUILDINGS IN ESTONIA: BUILDING BLOCKS FOR NEIGHBORHOOD LONGEVITY

2011 ◽  
Vol 35 (2) ◽  
pp. 110-116 ◽  
Author(s):  
Daniel B. Hess
Keyword(s):  
World War I ◽  
Built Environment ◽  
20Th Century ◽  
Transition Period ◽  
Housing Stock ◽  
Building Blocks ◽  
Urban Housing ◽  
Housing Demand ◽  
Early 20Th Century ◽  
Art Nouveau

During the early 20th century, the urban housing supply in Estonia expanded quickly to meet growing housing demand, resulting in tenement districts conceived for maximum profitability of rental units. In Karlova, a district near the city center of Tartu, about five hundred wooden houses, built between 1911 and the early 1920s and displaying simple Art Nouveau details, are set amid a charming district with a distinct milieu. This article focuses on three time periods during which the development of its built environment gave Karlova its distinctiveness: (1) the years leading up to World War I; (2) the interwar period; and (3) the two decades since 1991, or the post-transition period. Although the district was neglected during the Soviet era, it remains remarkably intact and has even experienced, since the 1990s, gentrification. The high-quality housing stock and charming built environment has much to offer to its diverse population of students, professionals, families, and longtime residents. Santrauka Dvidešimtojo amžiaus pradžioje gyvenamųjų namų pasiūla Estijoje greitai augo atitikdama į augančius gyvenamojo ploto poreikius. Minėtos situacijos rezultatas - daugiabučių namų kvartalai sukurti taip, kad iš nuomojamų patalpų būtų gaunamas maksimalus pelnas. Karlova – kvartalas netoli Tartu centro. Jį sudaro apie penki šimtai medinių namų, pastatytų tarp 1911 ir 1920 metų. Pastatams būdingos paprastos Art Nouveauarchitektūrinės detalės, jie pastatyti išskirtinėje patrauklioje aplinkoje. Pateikiamame straipsnyje nagrinėjami trys laikotarpiai, per kuriuos užstatymo kaita aptariamoje teritorijoje sukūrė išskirtinį jos tapatumą: 1) laikotarpis iki Pirmojo pasaulinio karo; 2) tarpukaris; 3) du dešimtmečiai po 1991 m. Nežiūrint to, kad sovietiniais metais teritorija buvo nesaugoma ir ja nesirūpinama, Karlova išsaugojo nepažeistą architektūrinį urbanistinį vientisumą, o po 1990 m. teritorijoje prasidėjo gentrifikacijos procesai. Aukštos kokybės gyvenamasis užstatymas ir žavi urbanistinė aplinka gali daug pasiūlyti įvairioms gyventojų grupėms: studentams, profesionalams, šeimoms ir vyresnio amžiaus žmonėms.

scholarly journals Geospatial characterizing of Under-Five Mortality in Alexandria, Egypt

2021 ◽  
Author(s):  
Mahmoud Adel Hassan ◽  
Ahmed Mohamed Ramadan ◽  
Mohamed Mostafa Tahoun ◽  
Abdelrahman Omran ◽  
Shimaa Gad El-karim Ali ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Spatial Distribution ◽  
Cardiovascular Diseases ◽  
Population Density ◽  
Spatial Pattern ◽  
Under Five ◽  
Size Population ◽  
Access To Water ◽  
Alexandria City ◽  
Low Incidence

This study aimed to identify geo-spatial pattern of under-five mortality (U5M) in Alexandria and its key determinants. We analyzed the geospatial distribution of 3064 deaths registered at 24 health offices reported from January 2018 to June 2019. The localities of Alexandria city were clustered into high and low incidence areas. Neonates represented 58.7% of U5M, while post-neonates and children were 31.1%, 10.2% respectively. Male deaths were significantly higher (P=0.036). The main leading causes of U5M were prematurity (28.32%), pneumonia (11.01%), cardiac arrest (10.57%), congenital malformation (9.95%), and childhood cardiovascular diseases (9.20%). Spatial distribution of U5M (including the most common three causes) tend to be clustered in western parts of Alexandria (El Hawaria, Bahig, Hamlis and Ketaa Maryiut). Another 9 clusters are at risk of being hotspots. Illiteracy, divorce, and poor locality characteristics (household size, population density, and access to water supply and sanitation), were statistically significant predictors of U5M.

The Worst of All Worlds

2005 ◽  
Vol 1902 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Eric Eidlin
Keyword(s):  
Los Angeles ◽  
Population Density ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Population Distribution ◽  
Housing Prices ◽  
The United States ◽  
Urban Life ◽  
Apparent Paradox ◽  
Gini Coefficients

Los Angeles, California, is generally considered the archetypal sprawling metropolis. Yet traditional measures equate sprawl with low population density, and Los Angeles is among the densest and thereby the least sprawling cities in the United States. How can this apparent paradox be explained? This paper argues that the answer lies in the fact that Los Angeles exhibits a comparatively even distribution of population throughout its urbanized area. As a result, the city suffers from many consequences of high population density, including extreme traffic congestion, poor air quality, and high housing prices, while offering its residents few benefits that typically accompany this density, including fast and effective public transit, vibrant street life, and tightly knit urban neighborhoods. The city's unique combination of high average population density with little differentiation in the distribution of population might best be characterized as dense sprawl, a condition that embodies the worst of urban and suburban worlds. This paper uses Gini coefficients to illustrate variation in population density and then considers a number of indicators–-most relating either to the provision of transportation infrastructure or to travel behavior–-that demonstrate the effects of low-variation population distribution on the quality of urban life in Los Angeles. This approach offers researchers, practitioners, and policy makers in Los Angeles and in smaller cities that are evolving in similar ways a useful and user-friendly tool for identifying, explaining, measuring, and addressing the most problematic aspects of sprawl.

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