• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.170-181
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• 2020

In a situation where population decline is intensifying, the decline of local mid-small sized cities is emerging as a social problem. The decline will increase the difficulty of supplying demand-based living services. Therefore, increasing accessibility to living services is important for quality of life. With this background, the purpose of this study is to derive living zones that can use high-order services in metropolitan cities through high-speed railway. To this end, the behaviors of residents in mid-small sized cities were investigated through a questionnaire, and living zones and vulnerable areas were derived through a GIS analysis. The results of the study are summarized as follows. First, most of the residents had experience using cultural, medical, shopping, and educational services in metropolitan cities. Second, the time required to visit a metropolitan city for the use of higher-order services was about 2 hours, and the desired time was about 50 minutes. Third, when accessibility is improved, the willingness to use the higher-order service of the metropolitan city is high. Fourth, many regions have been derived as living zones where services of metropolitan cities can be used through high-speed rail. Lastly, the major vulnerable areas were found to be the northern area of the Gangwon region, the northern area of the Yeongnam region, the west coast of Chungnam, and the border area of Jeonnam and Gyeongnam.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.337-355
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• 2021

Demographic changes such as an aging and low fertility, as well as changes in industrial structure and residential environment, revealed the limitations of urban development policies. Accordingly, the government is making efforts to ensure a prosperous life for the people by including the plan to expand the living SOC in the national urban regeneration policy. The main priority tasks of the Living SOC include the establishment of welfare infrastructure for children and the vulnerable. This means that interest in welfare is increasing recently. In this study, we analyzed the supply status of welfare facilities for the senior, child and the disabled in 17 cities and provinces nationwide using LQ (Location Quotient). After analyzing the causes of the imbalance in the supply of welfare facilities by region, the improvement plan was suggested. Each welfare facility was highly localized by region, especially the accessibility gap between cities and provinces is very large. Welfare finances were similar in most cities and provinces, with the exception of some cities and provinces. In the case of cities with very high living standards, sufficient facilities were not provided. Improvement methods are as follows; Combination of welfare facilities that can maximize space efficiency, Securing appropriate welfare finance in consideration of living standards by city and province, Differentiation of supply method considering demand and user types for welfare facilities.

• Economic and Environmental Geology
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• v.54 no.4
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• pp.427-439
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• 2021

On the base of the aggregate extraction statistics, this study tried to analyse the demand and supply of aggregate resources of each local government and provide directions for the stable and sustainable supply and demand of aggregate resources in the future. In 2019, aggregates were produced in 148 cities, about 65% of the 229 cities of Korea, but in 7 metropolitan cities with 74 local governments, only 19 cities developed the aggregate. It means that aggregate extraction is taking place in almost all regions in Korea. Sand and gravel were produced in 110 districts and 132 districts, respectively. By aggregate source, river aggregates were extracted in 4 local governments, land aggregates in 42 local governments, forest aggregates in 75 local governments, crushed aggregates in 105 local governments, and washing aggregates in 15 local governments. In other words, 81 district in Korea have not extracted land-based aggregate at all. 71 local governments produced only one type of aggregate, and 55 local governments developed two types of aggregate, and 22 local governments developed more that three types of aggregate. In 2019, the leading producing local government were, in descending order of volume, Ulju-gun, followed by Hwaseong-si, Cheongju-si, Pocheon-si, Paju-si, Yongin-si, Gimhae-si, Gwangju-si in Gyeonggi-do. 41 local governments have developed aggregates of more than 1 million m³, and the combined production of the 41 cities accounted for about 70% of national total. This shows that the aggregate extraction trend of local governments is becoming larger and more concentrated.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.19-45
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• 2024

As smart tourism cities are being actively introduced, efforts are emerging to understand the current situation and devise improvements from the perspective of services actually experienced by travelers. This study aimed to present directions for improving the overall service environment of smart tourism cities by introducing the servicescape perspective. It defined servicescape elements within smart tourism cities and analyzed how tourists' servicescape experiences affect their value perception, emotions, and satisfaction. The research model was designed by dividing servicescapes into physical servicescapes (cleanliness, convenience, electrical facilities) and communicative servicescapes (aesthetics and practicality of apps). A survey was conducted on 309 tourists who visited Suwon, a smart tourism city, and analyzed using Smart PLS. The analysis results showed that among physical servicescapes, cleanliness and electrical facilities had a significant impact on the evaluation of tourist destination value, while convenience had no effect. The communicative servicescape, namely the tourism app, had a significant impact on smart tourism value and overall destination value assessment. The tourism app and smart tourism value played a significant role in increasing tourists' positive emotions and decreasing negative emotions, which ultimately affected tourism satisfaction. This study confirmed the importance of tourism apps in smart tourism cities along with the importance of basic physical environments. Through this, it provides useful implications for establishing service improvement strategies for smart tourism cities.

• Journal of Preventive Medicine and Public Health
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• v.4 no.1
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• pp.41-64
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• 1971

During the period from July 1st to the end of November 1970, a survey on air pollution and noise level was made in Seoul, Pusan and Taegu, the three largest cities in Korea. Each city was divided into 4-6 areas; the industrial area, the semi-industrial area, the commercial area, the residential area, the park area and the downtown area. Thirty eight sites were selected from each area. A. Method of Measurement : Dustfall was measured by the Deposit Gauge Method, sulfur oxides by $PbO_2$ cylinder method, suspended particles by the Digital Dust Indicator, Sulfur dioxide ($SO_2$) and Carbon Monoxide (CO) by the MSA & Kitakawa Detector and the noise levels by Rion Sound Survey meter. B. Results: 1. The mean value of dustfall in 3 cities was $30.42ton/km^2/month$, ranging from 8.69 to 95.44. 2. The mean values of dustfall by city were $33.17ton/km^2/month$ in Seoul, 32.11 in Pusan and 25.97 in Taegu. 3. The mean values of dustfall showed a trend of decreasing order of semi-industrial area, downtown area, industrial area, commercial area, residential area, and park area. 4. The mean value of dustfall in Seoul by area were $52.32ton/km^2/month$ in downtown, 50.54 in semi-industrial area, 40.37 in industrial area, 24,19 in commercial area, 16.25 in park area and 15.39 in residential area in order of concentration. 5. The mean values of dustfall in Pusan by area were $48.27ton/km^2/month$ in semi-industrial area, 36.68 in industrial area 25.31 in commercial area, and 18.19 in residential area. 6. The mean values of dustfall in Taegu by area were $36.46ton/km^2/month$ in downtown area, 33.52 in industrial area, 20.37 in commercial area and 13.55 in residential area. 7. The mean values of sulfur oxides in 3 cities were $1.52mg\;SO_3/day/100cm^2\;PbO_2$, ranging from 0.32 to 4.72. 8. The mean values of sulfur oxides by city were $1.89mg\;SO_3/day/100cm^2\;PbO_2$ in Pusan, 1.64 in Seoul and 1.21 in Taegu. 9. The mean values of sulfur oxides by area in 3 cities were $2.16mg\;SO_3/day/100cm^2\;PbO_2$ in industrial area, 1.69 in semi-industrial area, 1.50 in commercial area, 1.48 in downtown area, 1.32 in residential area and 0.94 in the park area, respectively. 10. The monthly mean values of sulfur oxides contents showed a steady increase from July reaching a peak in November. 11. The mean values of suspended particles was $2.89mg/m^3$, ranging from 1.15 to 5.27. 12. The mean values of suspended particles by city were $3.14mg/m^3$ in Seoul, 2.79 in Taegu and 2.25 in Pusan. 13. The mean values of noise level in 3 cities was 71.3 phon, ranging from 49 to 99 phon. 14. The mean values of noise level by city were 73 phon in Seoul, 72 in Pusan, and 69 in Taegu in that order. 15. The mean values of noise level by area in 3 cities showed a decrease in the order of the downtown area, commercial area, industrial area and semi-industrial area, park area and residential area. 16. The comparison of the noise levels by area in 3 cities indicated that the highest level was detected in the downtown area in Seoul and Taegu and in the industrial area in Pusan. 17. The daily average concentration of sulfur dioxides ($SO_2$) in 3 cities was 0.081 ppm, ranging from 0.004 to 0.196. 18. The daily average concentrations of sulfur dioxides by city were 0.092 ppm in Seoul, 0.089 in Pusan and 0.062 in Taegu in that order. 19. The weekly average concentration of carbon monoxides(CO) was 27.59 ppm. 20. The daily average concentrations of carbon monoxides by city were 33.37 ppm. in Seoul, 25.76 in Pusan and 23.65 in Taegu in that order. 21. The concentration of $SO_2$ and CO reaches a peak from 6 p. m. to 8 p. m. 22. About 3 times probably the daily average concentration of CO could be detected in the downtown area probably due to heavy traffic emission in comparison with that in the industial area. 23. As for daily variation of the concentration of $SO_2$ and CO it was found that the concentration maintains relatively higher value during weekdays in the industrial area and on the first part of the week in the downtown area.

• Journal of the Korean association of regional geographers
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• v.7 no.1
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• pp.83-95
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• 2001

The purpose of this study is to examine that we can estimate land use by land values in 5 great cities. For this purpose, I calculated the percentage that each lot value makes up of the highest land values in the city as a indicator. I think this rate is very useful in the comparative study about many cities. At first, I set up four hypotheses based on my preceding studies. Hypothesis 1, the range of CBD can be estimated as having about 10% of the peak land values. Hypothesis 2, when the peak rate of concentric circle of land values seperated from CBD circle is about 30% of the peak land values, that is sub-CBD. Hypothesis 3, generally, a lot of having about 5% of the peak land values represents residential land commercial land use. Hypothesis 4, a lot of having about 3% of the peak land values represents only residential land use. The data on land values in five great cities were got from public notification on land values(1999) of the Ministry of Construction & Transportation. I selected highest lot values from many standard lot value in each Tong(the minimum administrative unit) in each cities. And I drew land values isopleth. Through that isopleth, I identified CBD cmd sub-CBD. Through the book of public notification on land values, I identified what land use are lots of having over 10%, about 5%, below 3% of the peak land values. As a result, we identified land use can be estimated by the percentage that each lot value makes up of the highest land values in the city. The bigger urban size becomes and the more stable land use becomes, the higher fitness of hypotheses becomes. The lowest degree of fitness about 4 hypotheses among 5 great cities showed in Inchon. Because Inchon lies adjacent to the greatest Seoul. The percentage that showed the lowest degree of fitness is 5% of the highest land values. The land use on lots of having about 5% of the peak land values is different from each other according to regional character in city.

• Korean Architects
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• s.548
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• pp.20-21
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• 2014

• Proceedings of the KOR-KST Conference
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• 1999.10a
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• pp.96-101
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• 1999

• Transportation Technology and Policy
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• v.11 no.4
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• pp.119-124
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• 2014

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.448-474
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• 2005