• Title/Summary/Keyword: 유효철도연장

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Appropriate Stock and Investment Estimation through International Comparison of Surface-Transportation Infrastructure Stock (육상교통 SOC 스톡의 국제비교와 목표 스톡 및 투자규모 산정)

  • Lee, Jae-Min;Sin, Hui-Cheol
    • Journal of Korean Society of Transportation
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    • v.23 no.2
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    • pp.83-92
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    • 2005
  • We try to evaluate the stock level of Korean transportation infrastructure comparing Korean SOC stock level with those of OECD countries. In order to do so, we work on indices to show the transportation infrastructure stock levels of various countries. Among several indices, we select the effective road-extension rate per population density and the effective railroad-extension rate per population density corresponding to road and railroad. We compare Korean road and railroad stock levels with those of OECD countries, to make use of the effective road-extension rate per population density and effective railroad-extension rate per population density. We choose the Britain, Greece, Portugal, and Sweden to compare Korea because their sizes of population and territory are similar to those of Korea. Using International comparison, we arrive at the conclusion that Korean road and railroad stock levels are 63.4% and 53.2% of those of four countries respectively. In addition, we estimate the target level of road and railroad stocks and compute the target level of investments in road and railroad based on the result.

Analysis of National Competitiveness Effect according as Transportation Infrastructure Stock - Focused on Moscow, Russia - (교통 SOC 스톡수준에 따른 국가 경쟁력 영향 분석 - 러시아 모스크바를 대상으로 -)

  • Park, Eun-kyung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.8
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    • pp.851-860
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    • 2015
  • Transport Social Overhead Capital refers to public utilities necessary for a nation's basic economic activities, and is divided into roads, railway, subway, ports and so on. It is important to be able to provide these SOC in the right place at the right time to enhance productivity and competitiveness of a nation. In this study, correlation and factor analysis on countries' socioeconomic and transport indicators were performed in order to understand the need for expansion of SOCs including railway, and to identify the impact they have on national competitiveness(productivity). As a result, GDP showed high correlativity(0.59~0.99) with factors such as population, land area, extension of available railroad, and road extension. Specifically, through the analysis of Russia's urban transport system and comparison between socioeconomic indices and SOCs of OECD countries, it was examined that how increasing transport infrastructure investments could enhance national competitiveness. In conclusion, opening new Light Rail greatly affects the growth of GDP followed by the increasing extension of available railroad. Furthermore, if available railroad extension is increased by 10 % from 2014, assuming high speed tram is opened, GDP will likely increase by 21.6%.

Conceptual Cost Estimation Model Using by a Parametric Method for High-speed Railroad (매개변수기법을 이용한 고속철도 노반공사의 개략공사비 예측모델)

  • Lee, Young Joo;Jang, Seong Yong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.4D
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    • pp.595-601
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    • 2011
  • There is currently applied to the unit cost per a distance (KRW/km) for estimating the conceptual cost of civil work on basic planning stage of high speed railroad. This unit cost is an arithmetic average value based on historical data, which could be in big error. It also is difficult to explain the deficiency comparing the estimated cost derived from next basic design stage. This study provides the conceptual estimation model using by the parametric method and regression analysis. Independent variables are the distance and the geological materials (earth, weathered rock, soft-rock, hard-rock), extracting from the actual data to 36 contracts. The deviation between the unit costs estimated using the developed model and the actual cost data is presented in the range from -0.4% to +31%. This range is acceptable compared the typical range "-30% to + 50%". This model will improve the accuracy of existing method and be expected to contribute to effective total cost management and the economic aspects, reduce the financial expenditure.