137 research outputs found

    ๋ฒ„์Šค ๊ณต๊ธ‰์ˆ˜์ค€์˜ ๋ณ€ํ™”๊ฐ€ ๋„์‹œ์ฒ ๋„ ์ˆ˜์š”์˜ˆ์ธก์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2018. 2. ๊ณ ์Šน์˜.The problem of misleading forecasts on the road is less severe and less one-sided than for rail. As the cause of this severe and nonrandom error of rail demand forecasting, this study focuses on the unexpected increase of bus supply level and the modal share prediction errors caused by the unexpected bus supply level change in the process of mode split. If a new rail line is planned for an area where large land developments are expected, the level of bus supply at the time of development planning and level of bus supply at the time of development completion would be different, and this may cause overestimation of rail demand. Therefore, this study developed a model to forecast the bus supply level and suggested a method to apply the model in the urban rail demand forecasting process. To consider the effect of change of future bus supply level, post-processing analysis which re-estimates urban rail demand by using cross-elasticity and the differential rate between bus supply level of existing model and the proposed model. By using the proposed model, four cases of previous urban rail demand forecasting studies were re-reviewed. In Shinbundang-line, Yongin light rail, Gimpo metro line and Byollae-line case studies, the impacts of bus supply level change on the rail demand forecasts ranged from 16% to 41%. In this proposed model, the error was less than 5% and showed high predictability except for the case of Byollae-line. In Byollae-line case, the results of both of the existing model and proposed model showed large error rate to the observed demand. The source of this relatively large error of Byeollae-line case is supposed that several land development plans are neighboring, and buses running through the districts may be overlapped. It is assumed that the overlapping buses cause errors in several districts, as a result, causing relatively large errors. This study suggests the unexpected change of bus supply level as a major source of rail demand forecasting error, which has been failed to be considered in previous studies and guidelines. This study is distinct from previous studies regarding the impact of change of bus supply level on urban rail demand forecast was quantified, and a model to forecast the bus supply level was developed and applied to improve the reliability of demand forecasting.Chapter 1. Introduction 1 1.1. Background 1 1.2. Purpose of this study 10 1.3. Research flow 12 Chapter 2. Literature Review 13 2.1. Studies on sources of errors in demand forecasting 13 2.2. Guidelines for travel demand forecasting 30 2.2.1. A Study on Standard Guidelines for Pre-feasibility 30 2.2.2. Transport Analysis Guidance 35 2.2.3. Passenger Demand Forecasting Handbook 37 2.3. Studies on bus supply level 40 2.4. Review result and direction of this study 45 Chapter 3. Framework 48 3.1. Outline of methodology 48 3.2. The choice of transportation mode 50 3.2.1. A behavioral model for mode choice 50 3.2.2. Proposed methodology 55 3.3. Bus supply level forecasting model 60 3.4. Post-processing of rail demand 64 Chapter 4. Case Study 69 4.1. Overview of case study 69 4.2. Shinbundang-line project 71 4.2.1. Overview of the project 71 4.2.2. Comparison of predicted and observed rail demand 74 4.2.3. Analysis of bus supply level change 76 4.2.4. Scenario analysis 77 4.2.5. Result of scenario analysis 81 4.3. Yongin light rail Project 85 4.3.1. Overview of the project 85 4.3.2. Comparison of predicted and observed rail demand 88 4.3.3. Analysis of bus supply level change 90 4.3.4. Scenario analysis 91 4.3.5. Result of scenario analysis 95 4.4. Gimpo metro line project 99 4.4.1. Overview of the project 99 4.4.2. Analysis of bus supply level change 102 4.4.3. Scenario analysis 104 4.4.4. Result of scenario analysis 108 4.5. Byeollae-line Project 112 4.5.1. Overview of the project 112 4.5.2. Analysis of bus supply level change 118 4.5.3. Scenario analysis 120 4.5.4. Result of scenario analysis 124 Chapter 5. Conclusion 128 5.1. Summary and conclusion 128 5.2. Further research 132Docto

    ์ค‘์†Œ๊ธฐ์—…์˜ ์žฌ๋ฌด์„ฑ๊ณผ์™€ ๊ณ ์šฉ์ฐฝ์ถœํšจ๊ณผ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ๊ณต๊ธฐ์—…์ •์ฑ…ํ•™๊ณผ, 2022. 8. ๊น€๋ด‰ํ™˜.In the 2010s, as Koreaโ€™s potential growth rate fell below 3% and youth unemployment and job losses emerged as important social problems, the urgency to foster new growth engines other than the existing main industries such as semiconductors, automobiles, and shipbuilding prevailed in the society. It has become our task to discover a new growth engine rather than the traditional heavy industry that has led the growth of Korea. In this process, fostering the 4th industrial revolution, which was introduced by Klaus Schwab at the World Economic Forum in 2016 and has since become a global trend, has rapidly emerged as a core agenda. Accordingly, the Korea Credit Guarantee Fund has provided credit guarantee since 2017 in accordance with the โ€˜Common Standards for Innovation Growthโ€™ related to the 4th Industrial Revolution established by the Innovation Growth Policy and Finance Council. This study was conducted to see the effectiveness of it. In this study, the companies newly supported by the Korea Credit Guarantee Fund in 2017 and 2018 were classified into innovative growth companies or generally guaranteed companies. They are analyzed in terms of financial performances(growth potential, profitability, stability) and employment growth rate. The performances of years t+1, t+2, and integrated year(t+1, t+2) were analyzed through DID analysis. As a result of the analysis, the financial impact of the credit guarantee on innovative growth companies showed generally higher than that of generally guaranteed companies, but the employment growth rate was somewhat insignificant. In terms of growth potential, both the sales growth rate and the total asset growth rate showed that innovative growth companies performed better than generally guaranteed companies did. However, In terms of profitability, the results were mixed by the types of company. In terms of stability, the result of debt ratio of t+2 year was not statistically significant, but the results of year t+1 and consolidated year(t+1, t+2) showed positive impacts on credit guarantee for innovative growth companies. However, the times interest earned ratio was turned out to be positive impacts in all years. As for the employment growth rate, the effect of credit guarantee for innovative growth companies was not statistically significant. The effect of credit guarantee support for the innovative growth is generally more positive than that of generally guaranteed companies, raising the needs of strengthened support for innovative growth sectors in the future. By increasing investment in innovative growth companies that are in the introduction or growth stage, we could see the possibility of future growth engine in Korea. Although there is a limitation in that the performance was statistically insignificant in terms of the employment growth rate, additional research is needed in that innovative growth companies are not labor-intensive industries and the effects on employment may vary.2010๋…„๋Œ€ ๋“ค์–ด์„œ ๋Œ€ํ•œ๋ฏผ๊ตญ ์ž ์žฌ์„ฑ์žฅ๋ฅ ์ด 3% ์ดํ•˜๋กœ ๋–จ์–ด์ง€๊ณ , ์ฒญ๋…„์‹ค์—…๊ณผ ์ผ์ž๋ฆฌ ๋ฌธ์ œ๊ฐ€ ์ค‘์š”ํ•œ ์‚ฌํšŒ๋ฌธ์ œ๋กœ ๋Œ€๋‘๋˜๋ฉด์„œ, ๋ฐ˜๋„์ฒด, ์ž๋™์ฐจ, ์„ ๋ฐ• ๋“ฑ ๊ธฐ์กด ์ฃผ๋ ฅ์‚ฐ์—… ์™ธ์˜ ์ƒˆ๋กœ์šด ์„ฑ์žฅ๋™๋ ฅ ์‚ฐ์—…์„ ์œก์„ฑํ•ด์•ผ ํ•œ๋‹ค๋Š” ์ ˆ๋ฐ•ํ•จ์ด ์‚ฌํšŒ ์ „๋ฐ˜์— ํŒฝ๋ฐฐํ•˜์˜€๋‹ค. ๊ธฐ์กด ๋Œ€ํ•œ๋ฏผ๊ตญ ์„ฑ์žฅ์„ ์ด๋Œ์—ˆ๋˜ ์ „ํ†ต์ ์ธ ์ค‘ํ›„์žฅ๋Œ€ ์‚ฐ์—…์ด ์•„๋‹Œ ์ƒˆ๋กœ์šด ์„ฑ์žฅ๋™๋ ฅ ๋ฐœ๊ตด์ด ์šฐ๋ฆฌ์˜ ๊ณผ์ œ๊ฐ€ ๋˜์—ˆ๋‹ค. ์ด ๊ณผ์ •์—์„œ 2016๋…„ โ€˜์„ธ๊ณ„๊ฒฝ์ œํฌ๋Ÿผโ€™์—์„œ ํด๋ฃจ์šฐ์Šค ์Šˆ๋ฐฅ์— ์˜ํ•ด ์ œ๊ธฐ๋˜๊ณ , ์ดํ›„ ์„ธ๊ณ„์ ์ธ ํŠธ๋ Œ๋“œ๋กœ ์ž๋ฆฌ์žก์€ 4์ฐจ ์‚ฐ์—…ํ˜๋ช… ์œก์„ฑ์ด ํ•ต์‹ฌ ์•„์  ๋‹ค๋กœ ๊ธ‰๋ถ€์ƒํ•˜์˜€๋‹ค. ์ด์— ๋”ฐ๋ผ, ์‹ ์šฉ๋ณด์ฆ๊ธฐ๊ธˆ์€ ํ˜์‹ ์„ฑ์žฅ์ •์ฑ…๊ธˆ์œตํ˜‘์˜ํšŒ์—์„œ ์ˆ˜๋ฆฝํ•œ 4์ฐจ ์‚ฐ์—…ํ˜๋ช… ๊ด€๋ จ โ€˜ํ˜์‹ ์„ฑ์žฅ๊ณต๋™๊ธฐ์ค€โ€™์— ๋”ฐ๋ผ 2017๋…„๋ถ€ํ„ฐ ์‹ ์šฉ๋ณด์ฆ ์ง€์›์„ ํ•˜์˜€๋Š”๋ฐ, ์ด์— ๋Œ€ํ•œ ํšจ๊ณผ์„ฑ์„ ๋ณด๊ณ ์ž ๋ณธ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜๊ฒŒ ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์‹ ์šฉ๋ณด์ฆ๊ธฐ๊ธˆ์ด 2017๋…„, 2018๋…„์— ์‹ ๊ทœ๋กœ ์‹ ์šฉ๋ณด์ฆ ์ง€์›ํ•œ ์—…์ฒด๋ฅผ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…๊ณผ ์ผ๋ฐ˜ ๋ณด์ฆ๊ธฐ์—…์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ๋ถ„์„๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€์œผ๋ฉฐ, ์žฌ๋ฌด์  ์„ฑ๊ณผ(์„ฑ์žฅ์„ฑ, ์ˆ˜์ต์„ฑ, ์•ˆ์ •์„ฑ)์™€ ๊ณ ์šฉ์ฆ๊ฐ€์œจ ์ธก๋ฉด์—์„œ t+1๋…„, t+2๋…„ ๋ฐ ํ†ตํ•ฉ(t+1, t+2) ๊ธฐ๊ฐ„์˜ ์„ฑ๊ณผ๋ฅผ DID๋ถ„์„์„ ํ†ตํ•ด ์‚ดํŽด๋ณด์•˜๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์— ๋Œ€ํ•œ ์‹ ์šฉ๋ณด์ฆ์˜ ํšจ๊ณผ๋Š” ์žฌ๋ฌด์  ์ธก๋ฉด์—์„œ๋Š” ์–‘ํ˜ธํ•œ ๊ฒƒ์œผ๋กœ ์‚ฐ์ถœ๋˜์—ˆ์œผ๋‚˜ ๊ณ ์šฉ์ฆ๊ฐ€์œจ ์ธก๋ฉด์—์„  ๋‹ค์†Œ ๋ฏธํกํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜์™”๋‹ค. ์„ฑ์žฅ์„ฑ ์ธก๋ฉด์—์„œ ๋งค์ถœ์•ก์ฆ๊ฐ€์œจ๊ณผ, ์ด์ž์‚ฐ์ฆ๊ฐ€์œจ ๋ชจ๋‘ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์— ๋Œ€ํ•œ ์‹ ์šฉ๋ณด์ฆ ์ง€์›์˜ ์„ฑ๊ณผ๋Š” ์ผ๋ฐ˜ ๋ณด์ฆ๊ธฐ์—…๋ณด๋‹ค ์–‘ํ˜ธํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ˆ˜์ต์„ฑ ์ง€ํ‘œ ์ค‘ ๋งค์ถœ์•ก์˜์—…์ด์ต๋ฅ ์€ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์— ๋Œ€ํ•œ ์‹ ์šฉ๋ณด์ฆ ์ง€์›์˜ ํšจ๊ณผ๊ฐ€ ์ข‹์ง€ ๋ชปํ•œ ๋ฐ˜๋ฉด, ์ด์ž์‚ฐ์ˆœ์ด์ต๋ฅ ์€ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์ด ์–‘ํ˜ธํ•œ ์„ฑ๊ณผ๋ฅผ ๋ณด์ด๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ๊ฒฐ๊ณผ๊ฐ€ ์—‡๊ฐˆ๋ฆฌ๊ณ  ์žˆ์—ˆ๋‹ค. ์•ˆ์ •์„ฑ ์ธก๋ฉด์—์„  ๋ถ€์ฑ„๋น„์œจ์€ t+2๋…„ ๊ฒฐ๊ณผ๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜์™”์œผ๋‚˜ t+1๋…„๊ณผ ํ†ตํ•ฉ(t+1, t+2)์€ ์„ฑ๊ณผ๊ฐ€ ์–‘ํ˜ธํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜์™”์œผ๋ฉฐ, ์ด์ž๋ณด์ƒ๋ฐฐ์œจ์€ ๋ชจ๋“  ์—ฐ๋„์— ์„ฑ๊ณผ๊ฐ€ ์ข‹์€ ๊ฒƒ์œผ๋กœ ์‚ฐ์ถœ๋˜์—ˆ๋‹ค. ๊ณ ์šฉ์ฆ๊ฐ€์œจ์€ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์— ๋Œ€ํ•œ ์‹ ์šฉ๋ณด์ฆ ์ง€์›์˜ ํšจ๊ณผ๊ฐ€ ์ผ๋ฐ˜ ๋ณด์ฆ๊ธฐ์—…๋ณด๋‹ค ์ข‹์„ ๊ฒƒ์ด๋ผ๋Š” ๊ฐ€์„ค์ด ๊ธฐ๊ฐ๋˜์—ˆ๋‹ค. ํ˜์‹ ์„ฑ์žฅ๊ธฐ์— ๋Œ€ํ•œ ์‹ ์šฉ๋ณด์ฆ ์ง€์›์˜ ํšจ๊ณผ๋Š” ์ผ๋ฐ˜ ๋ณด์ฆ๊ธฐ์—…๋ณด๋‹ค ๋Œ€์ฒด๋กœ ์–‘ํ˜ธํ•˜๋ฏ€๋กœ ์•ž์œผ๋กœ ๋”์šฑ ํ˜์‹ ์„ฑ์žฅ ๋ถ€๋ฌธ์— ๋Œ€ํ•œ ์ง€์› ๊ฐ•ํ™” ํ•„์š”์„ฑ์ด ์ œ๊ธฐ๋œ๋‹ค. ๊ธฐ์—… ์„ฑ์žฅ๋‹จ๊ณ„์ƒ ๋„์ž…๊ธฐ ํ˜น์€ ์„ฑ์žฅ๊ธฐ ๋‹จ๊ณ„์ธ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์— ๋Œ€ํ•œ ํˆฌ์ž ์ œ๊ณ ๋ฅผ ํ†ตํ•ด ๋Œ€ํ•œ๋ฏผ๊ตญ์˜ ๋ฏธ๋ž˜์„ฑ์žฅ๋™๋ ฅ์œผ๋กœ ์ž๋ฆฌ์žก์„ ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์—ฟ๋ณผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‹ค๋งŒ, ๊ณ ์šฉ์ฆ๊ฐ€์œจ ์ธก๋ฉด์—์„œ ์„ฑ๊ณผ๊ฐ€ ๋ฏธํกํ–ˆ๋‹ค๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ์œผ๋‚˜ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์ด ๋…ธ๋™์ง‘์•ฝ์  ์‚ฐ์—…์ด ์•„๋‹ˆ๊ณ , ๊ณ ์šฉ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ๋Š” ๋‹ค์–‘ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์„ ๊ณ ๋ คํ•  ๋•Œ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์ฃผ์š”์–ด : ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…, 4์ฐจ์‚ฐ์—…ํ˜๋ช…, ์‹ ์šฉ๋ณด์ฆ, ์žฌ๋ฌด์„ฑ๊ณผ, ๊ณ ์šฉ์ฆ๊ฐ€์œจ์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ๊ณผ ๋ฐฉ๋ฒ• 4 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  5 ์ œ 1 ์ ˆ ์ด๋ก ์  ๋…ผ์˜ 5 1. 4์ฐจ ์‚ฐ์—…ํ˜๋ช… 5 2. ์‚ฐ์—…์ •์ฑ… 6 3. ํ˜์‹ ์„ฑ์žฅ๊ณต๋™๊ธฐ์ค€ 8 4. ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…์— ๋Œ€ํ•œ ์‹ ์šฉ๋ณด์ฆ ์ง€์› 10 ์ œ 2 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  12 1. ์‹ ์šฉ๋ณด์ฆ ์ง€์› ํšจ๊ณผ์„ฑ์— ๊ด€ํ•œ ์—ฐ๊ตฌ 12 2. 4์ฐจ ์‚ฐ์—…ํ˜๋ช…์— ๋Œ€ํ•œ ์—ฐ๊ตฌ 15 3. ์„ ํ–‰์—ฐ๊ตฌ์™€์˜ ์ฐจ๋ณ„์„ฑ 17 ์ œ 3 ์žฅ ์—ฐ๊ตฌ์„ค๊ณ„ ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 19 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ 19 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๊ฐ€์„ค 19 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ๋ชจํ˜• 23 ์ œ 4 ์ ˆ ๋ณ€์ˆ˜์˜ ๊ฐœ๋…์  ์ •์˜ 25 ์ œ 5 ์ ˆ ๋ณ€์ˆ˜์˜ ์กฐ์ž‘์  ์ •์˜ 26 1. ๋…๋ฆฝ๋ณ€์ˆ˜ 26 2. ์ข…์†๋ณ€์ˆ˜ 26 3. ํ†ต์ œ๋ณ€์ˆ˜ 29 ์ œ 6 ์ ˆ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 30 1. ์ž๋ฃŒ์ˆ˜์ง‘๋ฐฉ๋ฒ• 30 1. ๋ถ„์„๋ฐฉ๋ฒ• 30 ์ œ 4 ์žฅ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ 32 ์ œ 1 ์ ˆ ๋ถ„์„๋Œ€์‚ฌ ๋ฐ ๊ธฐ์ˆ ํ†ต๊ณ„ 32 1. ๋ถ„์„๋Œ€์ƒ ๋ฐ ํ‘œ๋ณธ 32 2. ๋นˆ๋„๋ถ„์„ 32 3. ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰ ๋ถ„์„ 39 ์ œ 2 ์ ˆ ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„ 41 ์ œ 3 ์ ˆ ํ˜์‹ ์„ฑ์žฅ๊ธฐ์—…๊ณผ ์ผ๋ฐ˜ ๋ณด์ฆ๊ธฐ์—…์˜ ๋ณด์ฆ์ง€์› ํšจ๊ณผ ๋ถ„์„ 45 1. ์„ฑ์žฅ์„ฑ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ ๋ถ„์„ 45 2. ์ˆ˜์ต์„ฑ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ ๋ถ„์„ 49 3. ์•ˆ์ •์„ฑ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ ๋ถ„์„ 53 4. ๊ณ ์šฉ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ ๋ถ„์„ 57 ์ œ 5 ์žฅ ๊ฒฐ๋ก  59 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ 59 ์ œ 2 ์ ˆ ์‹œ์‚ฌ์  61 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ 63 ์ฐธ๊ณ ๋ฌธํ—Œ 65 ๋ถ€ ๋ก 69 Abstract 78์„

    Development of a Mother-Preschool Child Interaction Scale

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    Purpose: This study was done to develop the self-report Mother-Preschool Child Interaction Scale (MPIS) for mothers of preschool children. Methods: The scale was based on items derived from literature review and in-depth interviews. A methodological study was used to check reliability and validity and participants were 334 mothers of preschool children enrolled in kindergarten or nursery. Data were analyzed using principal component factor analysis for construct validity, t-test for contrasted group validity, Pearson correlation for criterion related validity and test-retest reliability and Cronbach's alpha for reliability. Results: In the final MPIS 34 items identified through factor analysis were included, 6 constructs were derived, and explanatory power was 64.2%. Items on the MPIS were verified through correlation with the interaction observation scale of Kim Mahoney and MPIS. Results were significant as mothers in the normal group exhibited MPIS scores that were significantly higher than those of mothers in the depressed group. Reliability of MPIS was .96 and test-retest reliability was .92. Conclusion: MPIS has the advantage of being easy to use, economical, and useful. Consequently, it is expected to be used as a screening tool for promptly and simply identifying the mother-preschool child interaction in diverse nursing practice and research.OAIID:oai:osos.snu.ac.kr:snu2013-01/102/2008003875/3SEQ:3PERF_CD:SNU2013-01EVAL_ITEM_CD:102USER_ID:2008003875ADJUST_YN:YEMP_ID:A078492DEPT_CD:811CITE_RATE:.352FILENAME:2013-JKAN-43-1-59-๋ฐ•์„ฑํฌ ๋ฐฉ๊ฒฝ์ˆ™.pdfDEPT_NM:๊ฐ„ํ˜ธํ•™๊ณผEMAIL:[email protected]_YN:NCONFIRM:

    Evaluation of a Career Ladder Program for Nurses in a Hospital

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    Purpose: The purposes of this study were to assess the efficacy and usefulness of the career ladder program in a hospital and to evaluate nurses satisfaction with the program. Methods: The study was conducted using a survey consisting of 14 questions on the appropriateness, necessity and usefulness of the career ladder program. The data were gathered from 403 nurses in a hospital. We assessed differences in responses according to the participants workplace, age, educational background, marital status, experience (total years and years at current working place). We analyzed the data using SPSS/WIN 12.0. Results: Nurses acknowledged that the career ladder program is necessary and profitable within the nursing field, but they worried about the appropriateness of the nurse's role at each career level and rationality of the portfolio. The study also identified nurses characteristics that were significant factors in explaining nurses satisfaction with the career ladder program. Finally, we identified complaints and improvements for the program. Conclusion: We assessed differences in attitude towards the career ladder program according to nurses' characteristics

    Ductal carcinoma in situ diagnosed using an ultrasound-guided 14-gauge core needle biopsy of breast masses: can underestimation be predicted preoperatively?

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    PURPOSE: This study was designed to determine the rate of ductal carcinoma in situ (DCIS)underestimation diagnosed after an ultrasound-guided 14-gauge core needle biopsy (US-14G-CNB) of breast masses and to compare the clinical and imaging characteristics between trueDCIS and underestimated DCIS identified following surgical excision. METHODS: Among 3,124 US-14G-CNBs performed for breast masses, 69 lesions in 60 patients were pathologically-determined to be pure DCIS. We classified these patients according to the final pathology after surgical excision as those with invasive ductal carcinoma (underestimated group) and those with DCIS (non-underestimated group). We retrospectively reviewed and compared the clinical and imaging characteristics between the two groups. RESULTS: Of the 69 lesions, 21 were shown after surgery to be invasive carcinomas; the rateof DCIS underestimation was 30.4%. There were no statistically significant differences withrespect to the clinical symptoms, age, lesion size, mammographic findings, and ultrasonographic findings except for the presence of abnormal axillary lymph nodes as detected on ultrasound. The lesions in 2 patients in the non-underestimated group (2/41, 4.9%) and 5 patients in the underestimated group (5/19, 26.3%) were associated with abnormal lymph nodes on axillary ultrasound, and the presence of abnormal axillary lymph nodes on ultrasound was tatistically significant (P=0.016). CONCLUSION: We found a 30.4% rate of DCIS underestimation in breast masses based on a US-14G-CNB. The presence of abnormal lymph nodes as detected on axillary ultrasound may be useful to preoperatively predict underestimation.ope

    Differentiation of adrenal adenoma and nonadenoma in unenhanced CT: New optimal threshold value and the usefulness of size criteria for differentiation

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    Objective To determine the optimal threshold for the attenuation values in unenhanced computed tomography (CT) and assess the value of the size criteria for differentiating between an adrenal adenoma and a nonadenoma. Materials and Methods The unenhanced CT images of 45 patients at our institution, who underwent a surgical resection of an adrenal masses between January 2001 and July 2005, were retrospectively reviewed. Forty-five adrenal masses included 25 cortical adenomas, 12 pheochromocytomas, three lymphomas, and five metastases confirmed by pathology were examined. The CT images were obtained at a slice thickness of 2 mm to 3 mm. The mAs were varied from 100 to 160 and 200 to 280, while the 120 KVp was maintained in all cases. The mean attenuation values of an adrenal adenoma and nonadenoma were compared using an unpaired t test. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy at thresholds of 10 Hu, 20 Hu, and 25 HU were compared. The diagnostic accuracy according to the size criteria from 2 cm to 6 cm was also compared. Results The twenty-five adenomas showed significantly lower (p 90% but a specificity < 70%. Size criteria of 2 or 3 cm had a high specificity of 100% and 80% but a low sensitivity of 20% and 60%. Conclusion The threshold attenuation values of 20 or 25 HU in the unenhanced CT appear optimal for discriminating an adrenal adenoma from a nonadenoma. The size criteria are of little value in differentiating adrenal masses because of their low specificity or low sensitivity.ope

    FDG Uptake in PET by Bladder Hernia Simulating Inguinal Metastasis

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    A 70-year-old man with past history of hemicolectomy due to colon cancer underwent a follow-up abdominal/pelvic CT scan. CT revealed a right adrenal metastasis and then he underwent FDG-PET/CT study to search for other possible tumor recurrence. In PET images, other than right adrenal gland, there was an unexpected intense FDG uptake at right inguinal region and at first, it was considered to be an inguinal metastasis. However, correlation of PET images to concurrent CT data revealed it to be a bladder herniation. This case provides an example that analysis of PET images without corresponding CT images can lead to an insufficient interpretation or false positive diagnosis. Hence, radiologists should be aware of the importance of a combined analysis of PET and CT data in the interpretation of integrated PET/CT and rare but intriguing conditions, such as bladder herniation, during the evaluation of PET scans in colon cancer patients.ope

    Cyclosporin A์— ์˜ํ•ด ์œ ๋„๋œ ์น˜์€ ๊ณผ์„ฑ์žฅ์— ๋Œ€ํ•œ azithromycin์˜ ์–ต์ œ ํšจ๊ณผ ๋ฐ ์ž‘์šฉ๊ธฐ์ „์—

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    Dept. of Dental Science/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ๋ชฉ์  : ์น˜์€ ๊ณผ์„ฑ์žฅ์„ ์ผ์œผํ‚ค๋Š” ๋Œ€ํ‘œ์ ์ธ ์•ฝ๋ฌผ๋กœ๋Š” ๋ฉด์—ญ์–ต์ œ์ œ๋กœ ๋งŽ์ด ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” cyclosporin A (CsA), ํ•ญ๊ฒฝ๋ จ์ œ๋กœ ์“ฐ์ด๋Š” phenytoin, ๊ณ ํ˜ˆ์••์น˜๋ฃŒ์ œ๋กœ ์‚ฌ์šฉ๋˜๋Š” nifedipine์„ ๋“ค ์ˆ˜ ์žˆ๋‹ค. ๋ณดํ†ต ์ด๋Ÿฌํ•œ ์น˜์€ ๊ณผ์„ฑ์žฅ์€ ํ†ต์ƒ์ ์œผ๋กœ ์น˜์€ ์ ˆ์ œ์ˆ ์„ ํ†ตํ•ด ์น˜๋ฃŒํ•˜๊ณ  ์žˆ์ง€๋งŒ ์žฆ์€ ์žฌ๋ฐœ๋กœ ์ธํ•ด ์ •๊ธฐ์ ์ธ ์ˆ˜์ˆ ์„ ํ•„์š”๋กœ ํ•˜์—ฌ ํ™˜์ž๋“ค์ด๋‚˜ ์˜์‚ฌ๋“ค์—๊ฒŒ ํฐ ๋ถ€๋‹ด์„ ์ฃผ๊ณ  ์žˆ๋‹ค. ์ตœ๊ทผ ์ž„์ƒ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด์„œ CsA ์— ์˜ํ•œ ์น˜์€ ๊ณผ์„ฑ์žฅ์ด macrolide ๊ณ„์—ด์˜ ํ•ญ์ƒ์ œ์ธ azithromycin (AZI)์— ์˜ํ•ด ํšจ๊ณผ์ ์œผ๋กœ ์–ต์ œ๋œ๋‹ค๋Š” ๊ฒฐ๊ณผ๊ฐ€ ๋ณด๊ณ ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ๊นŒ์ง€ CsA์— ์˜ํ•œ ์น˜์€ ๊ณผ์„ฑ์žฅ์˜ ์œ ๋„๊ธฐ์ „๊ณผ AZI์— ์˜ํ•œ ์–ต์ œ๊ธฐ์ „์€ ๋ช…ํ™•ํžˆ ๋ฐํ˜€์ง€์ง€ ์•Š๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” CsA์— ์˜ํ•œ ์น˜์€ ๊ณผ์„ฑ์žฅ์˜ ์œ ๋„๊ธฐ์ „๊ณผ AZI์— ์˜ํ•œ ์–ต์ œ๊ธฐ์ „์„ ๋ถ„์ž ์ƒ๋ฌผํ•™์  ๊ด€์ ์—์„œ ๋ฐํ˜€๋ณด๊ณ ์ž ํ•œ๋‹ค.๋ฐฉ๋ฒ• : ์น˜์€ ์„ฌ์œ ์•„์„ธํฌ๋Š” ๊ณผ๊ฑฐ์— CsA๋ฅผ ๋ณต์šฉํ•˜์—ฌ ์น˜์€๊ณผ์„ฑ์žฅ์„ ๋ณด์ธ ํ™˜์ž์™€ CsA๋ฅผ ๋ณต์šฉํ•œ ๊ฒฝํ—˜์ด ์—†๋Š” ๊ฑด๊ฐ•ํ•œ ํ™˜์ž์˜ ์น˜์€์—์„œ explant culture๋กœ ๋ถ„๋ฆฌํ•˜์˜€๋‹ค. CsA์— ๋Œ€ํ•œ ์น˜์€ ์„ฌ์œ ์•„์„ธํฌ์˜ ์ฆ์‹๋ฅ ๊ณผ AZI์— ์˜ํ•œ ์–ต์ œ์œจ์€ MTT assay์— ์˜ํ•ด ์ธก์ •ํ•˜์˜€๋‹ค. CsA์— ์˜ํ•œ ์„ธํฌ์ฆ์‹๋ฅ ์ด ๊ฐ€์žฅ ๋†’์€ ์น˜์€์„ฌ์œ ์•„์„ธํฌ์— CsA๋ฅผ ์ฒ˜๋ฆฌํ•œ ํ›„ differential display-reverse transcriptase-polymerase chain reaction(DDRT-PCR) ๋ฐฉ๋ฒ•์„ ์ˆ˜ํ–‰ํ•˜๊ณ  DNA sequence๋ฅผ ์กฐ์‚ฌํ•˜์—ฌ ์œ ์ „์ž ๋ฐœํ˜„์˜ ๋ณ€ํ™”๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์˜๋ฏธ์žˆ๋‹ค๊ณ  ์—ฌ๊ฒจ์ง€๋Š” ์„ธ๊ฐ€์ง€ ์œ ์ „์ž, prolyl 4-hydroxylase์˜ subunit (P4HB), ribosomal protein L24 (RPL24), ribosomal protein L30 (RPL30)์˜ ๋ฐœํ˜„์„ RT-PCR๋กœ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, CsA์— ์˜ํ•ด ์ฆ๊ฐ€๋œ ์ด๋“ค ์œ ์ „์ž์˜ ๋ฐœํ˜„์— ๋Œ€ํ•œ AZI์˜ ์˜ํ–ฅ์„ RT-PCR๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค.๊ฒฐ๊ณผ : CsA์— ์˜ํ•œ ์„ธํฌ์˜ ์ฆ์‹๋ฅ ์€ ๊ฑด๊ฐ•ํ•œ ํ™˜์ž๋ณด๋‹ค CsA๋ฅผ ๋ณต์šฉํ•œ ๊ฒฝํ—˜์ด ์žˆ๋Š” ํ™˜์ž๋กœ๋ถ€ํ„ฐ ๋ถ„๋ฆฌํ•œ ์น˜์€ ์„ฌ์œ ์•„์„ธํฌ์—์„œ ๋šœ๋ ทํ•˜๊ฒŒ ์ฆ๊ฐ€๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ์ดํ›„์˜ ์—ฐ๊ตฌ๋Š” CsA๋ฅผ ๋ณต์šฉํ•œ ๊ฒฝํ—˜์ด ์žˆ๋Š” ํ™˜์ž์˜ ์น˜์€ ์„ฌ์œ ์•„์„ธํฌ๋กœ ์ง„ํ–‰ํ•˜์˜€๋‹ค. 5์ผ๊ฐ„ CsA(10ng/ml)์™€ AZI์„ ํ•จ๊ป˜ ์ฒ˜๋ฆฌํ•œ ๊ฒฝ์šฐ, AZI์˜ ๋†๋„์— ๋น„๋ก€ํ•˜์—ฌ ์น˜์€ ์„ฌ์œ ์•„์„ธํฌ์˜ ์ฆ์‹๋ฅ ์ด ๊ฐ์†Œํ•˜์˜€๋‹ค. CsA๋ฅผ ์ฒ˜๋ฆฌํ•œ ์น˜์€ ์„ฌ์œ ์•„์„ธํฌ์—์„œ์˜ DDRT-PCR ๊ฒฐ๊ณผ collagen ์ƒํ•ฉ์„ฑ๊ณผ ์„ธํฌ์˜ ์ฆ์‹์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” P4HB, RPL24, RPL30 ์œ ์ „์ž์˜ ๋ฐœํ˜„์–‘์ด CsA์— ์˜ํ•ด ํ˜„์ €ํ•˜๊ฒŒ ์ฆ๊ฐ€๋จ์„ ๋ณผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, CsA์™€ ํ•จ๊ป˜ AZI์„ ์ฒ˜๋ฆฌํ–ˆ์„ ๊ฒฝ์šฐ์—๋Š” CsA์— ์˜ํ•ด ์ฆ๊ฐ€๋œ ์ด๋Ÿฌํ•œ ์œ ์ „์ž์˜ ๋ฐœํ˜„์–‘์ด AZI์— ์˜ํ•ด ์–ต์ œ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค.๊ฒฐ๋ก  : AZI์ด CsA์— ์˜ํ•ด ์ฆ๊ฐ€๋œ ์„ธํฌ์ฆ์‹๊ณผ P4HB ์œ ์ „์ž์˜ ๋ฐœํ˜„์–‘์„ ๊ฐ์†Œ์‹œ์ผœ collagen์˜ ํ•ฉ์„ฑ์„ ๊ฐ์†Œ์‹œํ‚ด์œผ๋กœ์จ CsA์— ์˜ํ•ด ์œ ๋„๋œ ์น˜์€๊ณผ์„ฑ์žฅ์„ ์–ต์ œํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. [์˜๋ฌธ]A frequent side effect of cyclosporin A (CsA) administration is gingival overgrowth (GO). Many previous reports have demonstrated that GO can be effectively treated by azithromycin (AZI), a macrolide antibiotic of the azalide subclass. However, the mechanism by which AZI suppresses CsA-induced GO (CIGO) has not yet been elucidated. In the present study, we examined the inhibitory effect of AZI on CIGO and its mechanism of action, and we also investigated the mechanism of CIGO.Human gingival fibroblasts were isolated from the gingival tissues of healthy subjects and patients exhibiting CIGO. The cell proliferation was significantly increased by CsA exposure for 5 days in fibroblasts isolated from gingival tissue of patients taking CsA. In contrast, AZI significantly inhibited CsA-induced cell proliferation. To identify the differentially expressed genes associated with CsA-induced proliferation in CIGO-GFs, we used differential display-reverse-transcriptase-polymerase chain reaction (DDRT-PCR). In our experimental findings, seven genes were upregulated by CsA treatment. Among them, the mRNA expression levels of subunit of the prolyl 4-hydroxylase (P4HB), ribosomal protein L24 (RPL24), ribosomal protein L30 (RPL30) were confirmed by RT-PCR. Upregulated mRNA levels of P4HB, RPL24 and RPL30 by CsA treatment were inhibited dose-dependantly by AZI. The overexpression of P4HB mRNA by CsA shown in our data indicate that CsA may increase the collagen production by stabilizing prolyl 4-hydroxylase, a key enzyme in collagen synthesis and delaying the intracellular degradation of procollagen I. These results suggest that AZI may inhibit CIGO by decreasing CsA-induced cell proliferation and collagen synthesis through downregulation of P4HB in human gingival fibroblasts.ope

    ์ดˆ์ŒํŒŒ ์œ ๋„ํ•˜ 14-๊ฒŒ์ด์ง€ ํ•ต์ƒ๊ฒ€์—์„œ ๊ด€์ƒํ”ผ๋‚ด์•”์œผ๋กœ

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    Dept. of Medicine/์„์‚ฌ[ํ•œ๊ธ€] [์˜๋ฌธ] The purpose of this study was to determine the underestimation rate of ductal carcinoma in situ (DCIS) diagnosed after an ultrasound guided 14-gauge core-needle biopsy (US-14G-CNB) of breast masses and to compare the clinical and imaging characteristics between DCIS lesions and underestimated DCIS lesions identified following surgical excision. Among 3124 US-14G-CNBs performed for breast masses, 69 lesions in 60 patients were pathologically determined as pure DCIS. We classified patients with these lesions according to the final pathology after surgical excision as patients with invasive ductal carcinoma (IDC) (upgrade group) and DCIS (non-upgrade group). We retrospectively reviewed and compared the clinical and imaging characteristics between the patients in the two groups. The imaging characteristics analyzed included ultrasound findings according to the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) lexicon and mammographic findings. Of the 69 lesions, 21 lesions were upgraded to invasive carcinoma and the underestimation rate was 30.4%. There were no statistically significant differences for the mammographic findings, sonographic findings, size, age or clinical symptoms except for the presence of pathological axillary lymph nodes as detected on ultrasound. Lesions in two patients in the non-upgrade group (2/41, 4.9%) and five patients in the upgrade group (5/19, 26.3%) were associated with pathological lymph nodes as detected on axillary ultrasound and this finding was statistically significant (p = 0.016). The DCIS underestimation rate after a US-14G-CNB of breast masses was 30.4% in this study. The presence of pathological lymph nodes as detected on axillary ultrasound may be useful to predict underestimation preoperatively.restrictio
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