Spatial correlation of nocturnal light with social-economic factors at different scales of urban areas — Case study of Beijing

2011 ◽  
Author(s):  
Yongling Yao ◽  
Yao Li
Keyword(s):  
Spatial Correlation ◽  
Urban Areas ◽  
Social Economic ◽  
Economic Factors

scholarly journals Evaluation of Road Infrastructure Alternatives Through a Saving Gradient in Travel Times. Case Study: Second Connection Villamaría-Manizales, Colombia

2018 ◽  
Vol 12 (8) ◽  
pp. 103
Author(s):  
Diego Alexander Escobar ◽  
Santiago Cardona ◽  
Carlos Alberto Moncada
Keyword(s):  
Urban Areas ◽  
Social Economic ◽  
Master Plan ◽  
Travel Times ◽  
Investment Projects ◽  
Sustained Development ◽  
Geographical Barrier ◽  
Travel Time Savings ◽  
Time Savings

In the last century, the migration of people from rural to urban areas of cities has generated a set of dynamics in different sectors such as social, economic, educational that have led cities to collaborate among them, generating a constant synergy in order to obtain a sustained development in multiple aspects. In this sense, Manizales as the capital of the department of Caldas in Colombia has generated a conurbation with the nearest neighboring municipality, Villamaría reaching a combined population of 419 943. Although this synergy has taken place for several decades, these municipalities only have a place of connection, because they are separated by a geographical barrier, the Chinchiná River. This connection has had clear connection problems, due to the high flow of vehicles that move between both municipalities, so it is essential to project a second connection, to further boost mobility among its inhabitants. For this reason, in this research four (4) alternatives of connection are proposed, according to the suggestions of the Manizales 2017 Mobility Master Plan, through the calculation of the global average accessibility and the quantification of the gradient of savings generated in the average times of trip, based on the current situation of both cities. The results show which is the alternative that benefits population the most in terms of travel time savings, although three of them generate considerable savings and only one is discarded because it benefits a smaller number of inhabitants in very low percentages of savings compared to the others. The evaluation of infrastructure alternatives through the gradient of savings in travel times is useful to determine the best options in the pre-feasibility phase of investment projects in the transport area.

scholarly journals Solid Domestic Wastes Management in the Realities of the Territorial Community

2018 ◽  
Keyword(s):  
Urban Areas ◽  
Social Economic ◽  
Economic Factors ◽  
Waste Collection ◽  
Waste Streams ◽  
Efficient System ◽  
Spatial Features ◽  
Effective System ◽  
Risk Areas ◽  
Socio Economic Factors

An efficient system for managing waste streams in a suburban system is possible only with an individual approach to each settlement or cluster of management, since the identified risk areas for one group of settlements may not be relevant for the next territorial cluster of management. Purpose. Development of a scheme of sanitary clearing of suburban territories on an example of settlements of Babai and Zatyshne (Kharkiv region). which are united into one cluster. Results. As a result of inventory of landfills of waste related to urban areas of Babai and Zatyshne found 23 objects. Each object is analyzed in accordance with a number of criteria: social, economic and natural, and grouped into groups according to a number of common features. The scheme of phased sanitation is offered on the principles of selective waste collection. Binding landfill to spatial features and socio-economic factors allows for forecasting and subsequent control, which will be aimed at stopping the formation of new objects. Conclusions. Dedicated areas of risk of the formation and growth of unauthorized dumps give the opportunity to build an effective system of environmental management and a program of sanitary clearing of territories.

scholarly journals Spatial Modelling of Malaria Prevalence in Kenya

2021 ◽  
pp. 8-21
Author(s):  
Morris Mwenda John ◽  
Elphas Luchemo ◽  
Ayubu Anapapa
Keyword(s):  
Urban Areas ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Cultural Practices ◽  
Social Economic ◽  
Malaria Prevalence ◽  
Sub Saharan Africa ◽  
P Value ◽  
Economic Factors ◽  
Malaria Burden

Malaria is one of the leading causes of deaths in Kenya. Malaria is a vector-borne disease caused by a parasite of the genus plasmodium. Complete eradication of malaria in the country has remained a problem. A lot of effort and resources has been put in the fight against malaria in developing countries which has led to underdevelopment and low human development index. Malaria burden affects the world’s poorest countries. About 90% of the malaria burden is reported in sub-Saharan Africa. The disease has led to high mortality cases in children and pregnant women. Despite the massive government eradication campaign, new and resurgent cases have been recorded. The specific objective was to determine the malaria risk factors and spatial distribution in Kenya. The 2015 malaria indicator survey data was used for the study. Demographic and social-economic factors were used as predictor variables. A generalized linear mixed model was used to determine the spatial variation and prevalence of malaria in Kenya. Demographic and social-economic factors were found to have significant impact on Prevalence of malaria in kenya. Most cases of malaria were reported in lake, western and coastal regions. The most prone areas were Kisumu, Homabay, Kakamega and Mombasa. There were less cases in central Kenya counties like Nyeri, Tharaka-Nithi with a significant number reported in arid and semi-arid regions of Northern-Kenya counties of Garissa, Mandera, Baringo. Rural population was more susceptible to malaria compared to those in urban areas. The odds of getting (verse not getting malaria) in places of residence increases by 1.32, which is estimated to .28, CIs 95% (1.01, 1.72), and a p-value .04. Malaria prevalence varied significantly from one region to another. The study established that Spatial autocorrelation exists among regions mostly due to weather patterns, geography, cultural practices and socio-economic factors.

Factors Affecting Financial Literacy of Vietnamese Adults: A Case Study for Hanoi and Nghe An

2017 ◽  
Vol 33 (2) ◽  
Author(s):  
Tue Nguyen Dang
Keyword(s):  
Higher Education ◽  
Multiple Regression ◽  
Financial Literacy ◽  
Urban Areas ◽  
Logistic Models ◽  
Factors Affecting ◽  
Financial Behaviors ◽  
Financial Decisions ◽  
Literacy Level

This research examines the factors affecting the financial literacy of Vietnamese adults. Using a sample of 266 observations of adults in 2 big cities in Vietnam (Hanoi and Vinh in Nghe An Province), the author evaluates the literacy level of adults in these urban areas. The financial literacy of the interviewed people is low. The multiple regression results show that lower financial literacy levels associate with higher age and married status and higher financial literacy levels associate with higher education, more family members, the person making financial decisions and the person attending a useful financial course. This research also explores the association between financial literacy and financial behaviors of individuals employing logistic models. It is found that higher financial literacy associates with less probability of overspending and higher probability of saving money and careful spending. Higher financial literacy is also found to associate with higher probability of opening a savings account and making various investments. 

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