• Health Policy and Management
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• v.33 no.4
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• pp.432-439
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• 2023

Background: The purpose of this study is to promote their health by identifying factors that affect the depressive mood experience among local residents in Gangseo-gu, Seoul. Methods: This study is a cross-sectional study analyzed using data from the 2022 Community Health Survey, which is conducted annually in Korea. The subjects of the study were 916 local residents in Gangseo-gu, Seoul. Results: Through this study, the groups with a high level of depressive mood experience among local residents of Gangseo-gu were female, those with low income, those with chronic diseases, those with low subjective health level, and those who perceived their stress to be high. Conclusion: It is necessary for local medical institutions to identify those with low income in blind spots and connect them with community resources to provide necessary economic support. Additionally, regular and systematic management is needed to help local residents prevent and manage chronic diseases. There is a need to actively support local residents by providing stress management programs and various health-related education to local residents so that they can maintain and improve their health and lead healthy lives.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.92-106
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• 2008

The purpose of this study is to identify land use types and to develop and evaluate biotope maps for Gangseo-Gu (ward) in Busan Metropolitan City, South Korea, using the Degree of Hemeroby. Hemeroby is a measurement concept or tool to assess the magnitude of human impact on ecosystems. Gangseo-Gu is the second largest Gu in Busan and is under strong development pressure. Before the field survey, biotopes were pre-classified based on digital maps, aerial photos and high-resolution satellite images. The method employed in biotope survey and mapping was adopted from the modified method used in Seoul, which carried out the first biotope mapping in Korea in 2000. In the field survey, a comprehensive biotope mapping method was used. The results showed that the total surface area of biotopes in Gangseo-gu was $172,620,207m^2$(42,655 acres) and there were 29 biotope types with 13,631 polygons. The ratio of urban or built-up area 22.6% and the remaining areas were forest and open spaces, of which 22.6% were actual forest areas and 35.6% were paddy fields and other field areas. The Hemeroby Index of Gangseo-gu was 54.7, which suggests that Gangseo-gu has not yet been developed extensively and needs a long-term conservation and coordinated development plan.

• Korean Architects
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• s.509
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• pp.50-53
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• 2011

• Journal of Korean Society for Atmospheric Environment
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• v.31 no.1
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• pp.83-91
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• 2015

Biomass burning is known to be one of the main sectors emitting greenhouse gases as well as air pollutants. Unfortunately, the inventory of biomass burning sector has not been established well. We estimated greenhouse gas (GHG) and air pollution (AP) integrated emissions from biomass burning sector in Seoul during year 2010. The data of GHG and AP emissions from biomass burning, classified into open burning, residential fireplace and wood stove, meat cooking, fires, and cremation, were obtained from Statistics Korea and Seoul City. Estimation methodologies and emission factors were gathered from reports and published literatures. Estimated GHG and AP integrated emissions during year 2010 were $3,867tonCO_{2eq}$, and 2,320 tonAP, respectively. Major sources of GHG were forest fires ($1,533tonCO_{2eq}$) and waste open burning ($1,466tonCO_{2eq}$), while those of AP were meat cooking (1,240 tonAP) and fire incidence (907 tonAP). Total emissions by administrative district in Seoul, representing similar patterns in both GHG and AP, indicated that Seocho-gu and Gangseo-gu were the largest emitters whereas Jung-gu was the smallest emitter, ranged in $2{\sim}165tonCO_{2eq}$ and 0.1~8.31 tonAP. GHG emissions per $km^2$ showed different results from total emissions in that Gwanak-gu, Jungnang-gu, Gangdong-gu and Seodaemun-gu were the largest emitters, while Seocho-gu and Gangseo-gu were near-averaged emission districts, ranged in $0.2{\sim}21tonCO_{2eq}/km^2$. However, AP emissions per $km^2$ revealed relatively minor differences among districts, ranged in $2.3{\sim}6.1tonAP/km^2$.

• Journal of Environmental Science International
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• v.19 no.1
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• pp.47-59
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• 2010

This study was to examine the characteristics of wirdbirds habitat for improvement plan in green corridor. The target site, Gangseo-gu artificial green corridor was set up with the structure in which small scale of core green space with Goongsan and Yeomchang neighborhood parks in urbanized city was connected with the artificial green space with Gongamnaru, Hwanggeumnae neighborhood parks with 28~42.5 m in width. Wild birds six~eleven species; Dendrocopos spp, Paradoxornis webbiana, Parus major, Phasianus colchicus, etc. were observed in core green, but wild birds of two~five species: Columba livuia, Passer montanus, Pica pica, Hypsipetes amaurotis, etc. were observed in artificial green space. Thus wild birds of artificial and generalist species only moved in artificial green space. The artificial green space where vegetation structure was consisted of single-layer with poorness chose target species laying stress on generalist species and edge species of Parus major, P. palustris, Paradoxornis webbiana etc. for short-term and interior species of Dendrocopos major, Picus canus, etc. for long-term. The result suggested enhancement methods for target species's habitat in green corridor: to secure at least a corridor 30 meters in artificial corridor, to secure ecological pond, to offer the various shelterer and environment of prey-resources through the multi-layer structure.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3046-3052
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• 2011

This study, continuing education programs and elderly welfare center in order to verify the source of satisfaction perceived elderly welfare center services for the elderly aged 60 or over to use the various welfare services for elderly, distribute the questionnaire with the permission of the welfare centers, utilizing a material portion 175. This study used PASW 18.0 program on the collected data and for data analysis, detailed statistical analysis methods used were t-test and One-way ANOVA. Gender were observed in higher overall satisfaction of a man, granted a high degree of satisfaction lower age, education elementary school, at least university graduates, found that satisfaction is high. In health, become clear that the more satisfied the more you health, spending money a month it became clear that the more satisfied the elderly to be used about 300,000 won to 500,000 won use period found that the elderly were more satisfied if less than one year and more than three years. In the region, Gangseo-gu is found to be slightly higher overall satisfaction with services than the Eunpyong-gu.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.71-87
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• 2021

This study aims to reveal how a port affects the living conditions of its neighborhood area with a case study of Pusan New Port and to suggest several implications to port policy. PLS-SEM reflective measurement model satisfies the criteria on reliability and validity, and also structural model meets the criteria in terms of R2, path coefficients' significance and predictive relevance(Q2). The results of PLS-SEM support the hypotheses of this study: The expansion of Pusan New Port contributes to the improvement of living conditions of Gangseo-gu(nearby area) through its significant and sequential effects on the employment and population increase of Gangseo-gu. The originality of this study can be found in enunciating that a port plays a role as a driving force of the betterment of living conditions of its nearby Gu-level area. In terms of policy, central and local governments and port related companies should cooperate with each other to reinforce the acceptability of port policy through the improvement of the living conditions of port neighborhood area. To evaluate comprehensively the influence of a port on its neighborhood area, a further study needs to identify how a port affects the quality of life of the area or what kinds of socio-economic effects a port has on the area.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.2
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• pp.140-148
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• 2022

Hydrogen is expected to be widely applied in most sectors within the current energy system, such as transportation and logistics, and is expected to be economically and technologically utilized as a power source to achieve vehiclebon emission reduction. In particular, the construction of hydrogen charging station infrastructure will not only support the distribution of hydrogen electric vehicles, but also play an important role in building a hydrogen logistics system. Therefore, This paper suggest additional charging infrastructure areas in Seoul with a focus on supply according to the annual average growth rate (CAGR), centering on Seoul, where hydrogen vehicles are most widely distributed. As of February 2022, hydrogen charging infrastructures were installed in Gangseo-gu, Gangdong-gu, Mapo-gu, Jung-gu, and Seocho-gu in downtown Seoul. Next, looking at the number of hydrogen vehicles by administrative dong in Seoul from 2018 to 2022, Seocho-gu has the most with 246 as of 2022, and Dongjak-gu has the highest average growth rate of 215.4% with a CAGR of 215.4%. Therefore, as a result of CAGR analysis, Dongjak-gu is expected to supply the most hydrogen vehicles in the future, and Seocho-gu currently has the most hydrogen vehicles, so it is likely that additional hydrogen charging infrastructure will be needed between Dongjak-gu and Seocho-gu.

• Journal of the Korean Geographical Society
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• v.48 no.4
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• pp.533-544
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• 2013

The purpose of this study is to analyze how the commuting areas in the Busan metropolitan area have been changed during 2000~2010. For this purpose, I set the boundary of the Busan metropolitan area by using linkage indicators, and analyzed the changes of the commuting areas by using factor analysis. The commuting areas in the area were divided into four subregions, including East Busan, West Busan, Gimhae/Changwon, and Ulsan. The commuting area of West Busan has been shrinking, and the commuting network structure between Gangseo-gu/Buk-gu/Sasang-gu and their geographically adjacent Gimhae/Changwon has been gradually strengthened. This has resulted from the increase of reverse commuting from West Busan to Gimhae/Changwon. Ulsan has formed an independent commuting area in the area.

• Journal of Environmental Health Sciences
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• v.40 no.5
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• pp.355-366
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• 2014

Objectives: This study seeks to evaluate the vulnerability assessment of the human health sector for $PM_{10}$, which is reflected in the regional characteristics and related disease mortality rates for $PM_{10}$ in Busan over the period of 2006-2010. Methods: According to the vulnerability concept suggested by the Intergovernmental Panel on Climate Change (IPCC), vulnerability to $PM_{10}$ is comprised of the categories of exposure, sensitivity, and adaptive capacity. The indexes of the exposure and sensitivity categories indicate positive effects, while the adaptive capacity index indicates a negative effect on vulnerability to $PM_{10}$. Variables of each category were standardized by the rescaling method, and each regional relative vulnerability was computed through the vulnerability index calculation formula. Results: The regions with a high exposure index are Jung-Gu (transportation region) and Saha-Gu (industrial region). Major factors determining the exposure index are the $PM_{10}$ concentration, days of $PM_{10}{\geq}50$, ${\mu}g/m^3$, and $PM_{10}$ emissions. The regions that show a high sensitivity index are urban and rural regions; these commonly have a high mortality rate for related disease and vulnerable populations. The regions that have a high adaptive capacity index are Jung-Gu, Gangseo-Gu, and Busanjin-Gu, all of which have a high level of economic/welfare/health care factors. The high-vulnerability synthesis of the exposure, sensitivity, and adaptive capacity indexes show that Dong-Gu and Seo-Gu have a risk for $PM_{10}$ potential effects and a low adaptive capacity. Conclusions: This study presents the vulnerability index to $PM_{10}$ through a relative comparison using quantitative evaluation to draw regional priorities. Therefore, it provides basic data to reflect environmental health influences in favor of an adaptive policy limiting damage to human health caused by vulnerability to $PM_{10}$.