The Effects of Environmental Risk Factors on City Life Cycle: A Link Analysis

Isikli, Erkan; Üstündağ, Alp; Çevikcan, Emre

doi:10.1080/10807039.2014.957953

Cited by 7 publications

(4 citation statements)

References 22 publications

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“…Furthermore, publications from the European Union (EU) regarding emissions of the main air pollutants monitored at more 2500 stations throughout Europe present updated data and its impact. Polices and air quality regimes are aimed at providing the lowest target concentrations of possible pollutants (Holnicki et al, 2017;Isikli et al, 2015). The guidelines apply worldwide and are based on expert evaluations for PM10 and NO2 (see Table 1).…”

Section: Introductionmentioning

confidence: 99%

The Effects of Industry Increase and Urbanization on Air Pollutants in Turkey: A Nonlinear Air Quality Model

Kılınç¹

2019

Appl. Ecol. Env. Res.

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Daily concentrations of air pollutants greatly affect air quality as an increase in industry and urbanization deteriorate the environment. For forty cities in Turkey, eleven variables are recorded to investigate the determinants of air pollution presumably by regressing the air pollutants PM10, NOX, and NO2. The temperature, wind, human factors such as population, vehicles, manufacturer, and suchlike are used to create a nonlinear air quality model in Turkey due to the multivariate nature of the data. A comparison of the nonparametric models of the concentration of these pollutants, using multivariate adaptive regression splines (MARS), was obtained to estimate the dependence between air pollutants and various factors. Finally, a model for PM10 concentration shows that climate effects are the most significant variables, whereas the predicted models for NOX and NO2 indicate that human factors, such as the number of manufacturers and the number of vehicles, are significant variables. In conclusion, the predicted models are easy to interpret and have advantages of capacity to produce the contributions of the factors for each pollutant model. It is advisable for researchers to examine and determine the suitability of their data sets using nonlinear models when atypical observations and high correlations exist in the data.

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Section: Introductionmentioning

confidence: 99%

The Effects of Industry Increase and Urbanization on Air Pollutants in Turkey: A Nonlinear Air Quality Model

Kılınç¹

2019

Appl. Ecol. Env. Res.

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“…In Korea, after the financial crisis in 1997, the unstable working environment of male workers, the increase in the number of female workers with temporary position, the increase of elderly retirement, and youth unemployment rate are becoming social problems. These social risk factors may decrease life satisfaction, [ 16 ] which in turn, may affect mental health such as depression and suicide. [ 17 ] Indeed, since 2000, the life satisfaction of Korean adults is the lowest among Organization for Economic Cooperation and Development (OECD) member countries, [ 18 ] which may be related to maintaining the highest suicide rate among OECD members’ countries.…”

Section: Introductionmentioning

confidence: 99%

The influence of strain due to individual risk factors and social risk factors on depressive symptoms and suicidality-a population-based study in Korean adults

Bae

2018

Medicine

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Suicide is the outcome of the interaction of biological, personal, and social risk factors. The purpose of this study was to verify the effects of strain due to individual risk factors and social risk factors on suicidality, and the mediating effect of depressive symptoms in relationship between strain related to individual risk factors and social risk factors and suicidality. The data from sociopsychological anxiety survey of Korea society conducted by the Korea Institute for Health and Social Affairs in 2015 were used in verifying the model. We analyzed the data of 7000 adults aged 19 to 79 years using Structural Equation Modeling. Strain due to individual risk factors was positively related to depressive symptoms and suicidality. Interestingly, strain induced by social risk factors was positively associated with depressive symptoms and suicidality. Social support is significantly associated with depressive symptoms and suicidality. Depressive symptoms directly affected suicidality. In addition, strain due to individual risk factors and social risk factors indirectly affected suicidality mediating depressive symptoms. These findings suggest that not only individual efforts such as social interaction and depression prevention but also government efforts such as preparation for aging may be needed to decrease suicide rate.

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“…This makes the big data safety very important [1]. Facing with safety and privacy protection network data, there are a lot of problems need to be addressed in, including: data computing ethics, data cryptography, distributed programming framework of secure computing, remote data calculation of reliability, data storage and log management security, based on the mining and analysis, privacy and commercial interests of protection data the mandatory access control and secure communication, multi granularity access control and data sources and data channels credibility.…”

Section: Privacy Protectionmentioning

confidence: 99%

“…Because of the huge value of the big date itself, more and more institutions and researchers are beginning to pay attention to "big date" provided by the web [1]. Web date format is complicated, including structured, semi-structured and unstructured in variety.…”

Section: Introductionmentioning

confidence: 99%