Research on the Construction Layout of Urban Sports Park Based on Constraint Graph Model

2019 ◽  
Vol 44 (3) ◽  
pp. 24-27
Author(s):  
Bai Li
Keyword(s):  
Population Size ◽  
Urban Renewal ◽  
Urban Space ◽  
Urban Culture ◽  
Graph Model ◽  
Spatial Layout ◽  
Economic Factors ◽  
Environmental Characteristics ◽  
Constraint Graph ◽  
The Impact

To study the spatial layout of urban sports parks, the constraint graph model was used to quantitatively analyze the construction of urban sports parks in China. At the same time, theories on the construction and development of urban sports parks and urban renewal at home and abroad were reviewed. The construction status of urban sports parks in China was systematically studied. Foreign case cities were investigated. Finally, the case cities in our country were discussed. The results showed that in addition to the influence of certain policies and economic factors, the development of sports parks was affected by factors such as urban space development, population size and living distribution, urban culture, regional environmental characteristics and the layout of original sports resources. Therefore, the impact of the above factors should be considered in the development of sports parks and their spatial layout. The layout of the sports park should be balanced to meet the diverse needs of the residents.

scholarly journals Possibilities of using innovative urban design approaches for economic regional development

2021 ◽  
Vol 92 ◽  
pp. 07027
Author(s):  
Richard Jankura ◽  
Viktor Soltes
Keyword(s):  
Urban Design ◽  
Urban Space ◽  
Local Governments ◽  
Value Added ◽  
Urban Spaces ◽  
Economic Factors ◽  
Daily Lives ◽  
The Impact ◽  
Socio Economic Factors

Research background: Globalization affects the daily lives of every individual, and therefore of the society in which he lives. In the coming years, almost 80% of the population will live in cities, which will have an impact on the socio-economic development of cities. These facts can lead to a deterioration of the security situation. Therefore, cities focused on the design of urban development, and thus on the elimination of undesirable factors. Purpose of the article: Cities around the world began to attend with architectural modifications of spaces, which could positively influence socio-economic factors. Changing the environment can reduce crime in localities. The purpose of the article is to analyze the impact of selected approaches on the quality of citizens’ life and to point out the possibilities of crime prevention through environmental design. Methods: Solution that deals with influencing the urban environment is the CPTED method. This approach focuses on the urban space and the principles of the fight against crime. The article describes the principles of CPTED application in urban space, and ways of its possible use. The methods of economic analysis and mathematical statistics will also evaluate the economic impacts on the budget of the entity using the approach. Findings & Value added: Due to globalization, built-up areas in cities are expanding. These changes have implications for socio-economic factors. The findings can be used in the design of new as well as existing urban spaces by public administration entities (especially regional and local governments), but also by private developers.

Optimal Configuration of a Genetic Algorithm for Command Space Layout Analysis

2018 ◽  
Vol 62 (1) ◽  
pp. 383-387 ◽  
Author(s):  
Wenbi Wang
Keyword(s):  
Genetic Algorithm ◽  
Population Size ◽  
Simulation Experiment ◽  
Large Population ◽  
Spatial Layout ◽  
Search Efficiency ◽  
Medium Level ◽  
Military Command ◽  
Space Layout ◽  
The Impact

A genetic algorithm was developed to optimize the spatial layout of military command centres. This paper describes a simulation experiment in which the impact of key algorithm parameters on its search efficiency was examined. The results confirmed the benefit of a large population size and a long evolution process for improving the search effectiveness. For the parameter that controls the rate of introducing new solutions (i.e., probability of swap), a medium level configuration was found to be superior. Results of this study provide guidelines and heuristics for configuring key parameters of the proposed algorithm so that its search efficiency and computational expense are best balanced.

scholarly journals Impact of Income, Density, and Population Size on PM2.5 Pollutions: A Scaling Analysis of 254 Large Cities in Six Developed Countries

2021 ◽  
Vol 18 (17) ◽  
pp. 9019
Author(s):  
Moon-Jung Kim ◽  
Yu-Sang Chang ◽  
Su-Min Kim
Keyword(s):  
Population Size ◽  
National Policy ◽  
Urban Pollution ◽  
Developed Countries ◽  
Scaling Analysis ◽  
Economic Factors ◽  
Stirpat Model ◽  
Data Set ◽  
The Impact ◽  
Socio Economic Factors

Despite numerous studies on multiple socio-economic factors influencing urban PM2.5 pollution in China, only a few comparable studies have focused on developed countries. We analyzed the impact of three major socio-economic factors (i.e., income per capita, population density, and population size of a city) on PM2.5 concentrations for 254 cities from six developed countries. We used the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model with three separate data sets covering the period of 2001 to 2013. Each data set of 254 cities were further categorized into five subgroups of cities ranked by variable levels of income, density, and population. The results from the multivariate panel regression revealed a wide variation of coefficients. The most consistent results came from the six income coefficients, all of which met the statistical test of significance. All income coefficients except one carried negative signs, supporting the applicability of the environmental Kuznet curve. In contrast, the five density coefficients produced statistically significant positive signs, supporting the results from previous studies. However, we discovered an interesting U-shaped distribution of density coefficients across the six subgroups of cities, which may be unique to developed countries with urban pollution. The results from the population coefficients were not conclusive, which is similar to the results of previous studies. Implications from the results of this study for urban and national policy makers are discussed.

scholarly journals “The street is ours”. A comparative analysis of street trading, Covid-19 and new street geographies in Harare, Zimbabwe and Kisumu, Kenya

Food Security ◽  
2021 ◽  
Author(s):  
Richard Kiaka ◽  
Shiela Chikulo ◽  
Sacha Slootheer ◽  
Paul Hebinck
Keyword(s):  
Public Space ◽  
Urban Space ◽  
Street Vendors ◽  
Urban Food Security ◽  
Street Trading ◽  
Food Economy ◽  
City State ◽  
Abstract Spaces ◽  
The Impact ◽  
The City

AbstractThis collaborative and comparative paper deals with the impact of Covid-19 on the use and governance of public space and street trade in particular in two major African cities. The importance of street trading for urban food security and urban-based livelihoods is beyond dispute. Trading on the streets does, however, not occur in neutral or abstract spaces, but rather in lived-in and contested spaces, governed by what is referred to as ‘street geographies’, evoking outbreaks of violence and repression. Vendors are subjected to the politics of municipalities and the state to modernize the socio-spatial ordering of the city and the urban food economy through restructuring, regulating, and restricting street vending. Street vendors are harassed, streets are swept clean, and hygiene standards imposed. We argue here that the everyday struggle for the street has intensified since and during the Covid-19 pandemic. Mobility and the use of urban space either being restricted by the city-state or being defended and opened up by street traders, is common to the situation in Harare and Kisumu. Covid-19, we pose, redefines, and creates ‘new’ street geographies. These geographies pivot on agency and creativity employed by street trade actors while navigating the lockdown measures imposed by state actors. Traders navigate the space or room for manoeuvre they create for themselves, but this space unfolds only temporarily, opens for a few only and closes for most of the street traders who become more uncertain and vulnerable than ever before, irrespective of whether they are licensed, paying rents for vending stalls to the city, or ‘illegally’ vending on the street.

scholarly journals Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development

2021 ◽  
Vol 13 (2) ◽  
pp. 858
Author(s):  
Wojciech Kisiała ◽  
Izabela Rącka
Keyword(s):  
Urban Space ◽  
Social Inequalities ◽  
Urban Poverty ◽  
Sustainable Urban Development ◽  
Social Aspect ◽  
City Development ◽  
Residential Properties ◽  
City Structure ◽  
High Level ◽  
The Impact

One of the main pillars of sustainable urban development at the local scale is to control the social aspect of urban equality of socio-economic systems. A number of studies confirm that poverty in urban space is accompanied by negative phenomena, such as high unemployment, social pathologies, increased crime rate, or the high level of the decapitalization of space, including the poor condition of housing and municipal infrastructure. However, there is a gap in defining the relation between urban poverty and city structure to control and preferably minimize social inequalities. The aim of the study was to empirically verify the impact of the location of residential properties in relation to poverty-stricken areas in the city. The research covered the housing market in one Polish city (Kalisz) in the years 2006–2018. By applying GIS technologies, we identified the location of each property in relation to poverty areas. The data was subjected to regression analysis, with the use of the hedonic approach based on exponential models. The analysis of data allowed us to conclude that location in a poorer area does affect the prices of new flats, which is not only a contribution to the development of science, but is also information that could be used by developers or property valuers to establish the prices of flats, as well as city managers to avoid pauperization of urban districts.

scholarly journals Landscape pattern and economic factors’ effect on prediction accuracy of cellular automata-Markov chain model on county scale

2020 ◽  
Vol 12 (1) ◽  
pp. 626-636
Author(s):  
Wang Song ◽  
Zhao Yunlin ◽  
Xu Zhenggang ◽  
Yang Guiyan ◽  
Huang Tian ◽  
...  
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Cellular Automata ◽  
Markov Model ◽  
Prediction Accuracy ◽  
Driving Mechanism ◽  
Economic Factors ◽  
Chain Model ◽  
The Impact ◽  
County Scale

AbstractUnderstanding and modeling of land use change is of great significance to environmental protection and land use planning. The cellular automata-Markov chain (CA-Markov) model is a powerful tool to predict the change of land use, and the prediction accuracy is limited by many factors. To explore the impact of land use and socio-economic factors on the prediction of CA-Markov model on county scale, this paper uses the CA-Markov model to simulate the land use of Anren County in 2016, based on the land use of 1996 and 2006. Then, the correlation between the land use, socio-economic data and the prediction accuracy was analyzed. The results show that Shannon’s evenness index and population density having an important impact on the accuracy of model predictions, negatively correlate with kappa coefficient. The research not only provides a reference for correct use of the model but also helps us to understand the driving mechanism of landscape changes.

scholarly journals Exploring optimal control of epidemic spread using reinforcement learning

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Abu Quwsar Ohi ◽  
M. F. Mridha ◽  
Muhammad Mostafa Monowar ◽  
Md. Abdul Hamid
Keyword(s):  
Reinforcement Learning ◽  
Economic Crisis ◽  
Transmission Rate ◽  
Optimal Solution ◽  
Short Length ◽  
Reproduction Rate ◽  
Economic Factors ◽  
Epidemic Spread ◽  
The Impact ◽  
Individual Human

AbstractPandemic defines the global outbreak of a disease having a high transmission rate. The impact of a pandemic situation can be lessened by restricting the movement of the mass. However, one of its concomitant circumstances is an economic crisis. In this article, we demonstrate what actions an agent (trained using reinforcement learning) may take in different possible scenarios of a pandemic depending on the spread of disease and economic factors. To train the agent, we design a virtual pandemic scenario closely related to the present COVID-19 crisis. Then, we apply reinforcement learning, a branch of artificial intelligence, that deals with how an individual (human/machine) should interact on an environment (real/virtual) to achieve the cherished goal. Finally, we demonstrate what optimal actions the agent perform to reduce the spread of disease while considering the economic factors. In our experiment, we let the agent find an optimal solution without providing any prior knowledge. After training, we observed that the agent places a long length lockdown to reduce the first surge of a disease. Furthermore, the agent places a combination of cyclic lockdowns and short length lockdowns to halt the resurgence of the disease. Analyzing the agent’s performed actions, we discover that the agent decides movement restrictions not only based on the number of the infectious population but also considering the reproduction rate of the disease. The estimation and policy of the agent may improve the human-strategy of placing lockdown so that an economic crisis may be avoided while mitigating an infectious disease.

ECP02-01 - Globalisation and the impact of economic factors on psychiatric disorders

2011 ◽  
Vol 26 (S2) ◽  
pp. 1795-1795
Author(s):  
D. Bhugra
Keyword(s):  
Mental Health ◽  
Cultural Identity ◽  
Economic Status ◽  
Psychiatric Morbidity ◽  
Economic Factors ◽  
Socio Economic Status ◽  
Level Of Economic Development ◽  
Migration Experiences ◽  
The Impact ◽  
The Relationship

IntroductionWith the process of globalisation in full flow, the movement of people and products across the globe has brought a series of difficulties. With migration the socio-economic status of the individuals may change with the likelihood that this status will be lower rather than higher, although depending upon the reasons for migration this may change too.ObjectivesLiterature shows that low socio-economic status is associated with a higher level of psychiatric morbidity.AimsWhether migration acts as a mediator needs to be investigated further.MethodsVarious studies have shown that rates of psychosis are elevated in migrants though these rates are differentially increased in different groups indicating that factors other than migration may be at play.ResultsIn this presentation the literature and link the acculturation and cultural identity with post-migration experiences will be reviewed.ConclusionA link exists between the perceptions within cultures and level of economic development of what constitutes mental health. The state of advancement of mental health services of a country will certainly have a large impact on prevalence rates. Further investigation should be carried out to examine in greater depth the relationship between social inequality and disorder prevalence, as distinct from income inequality.

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