• Title/Summary/Keyword: 국내수요

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Development of a Transportation Demand Analysis Model ${\ulcorner}$AllWayS-Windows Version${\lrcorner}$ (종합 교통수요 예측모형 "사통팔달:윈도우즈"의 개발)

  • Shim, Dae-Young;Cho, Joong-Rae;Kim, Dong-Hyo
    • Journal of Korean Society of Transportation
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    • v.22 no.2 s.73
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    • pp.19-26
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    • 2004
  • AllWayS(AWS, Satongpaldal in Korean) is the first comprehensive computer software in Korea that is developed for the transportation demand modeling. The original DOS version software was recently receded for Windows environment. Traditional 4-step transportation demand forecasting process is incorporated in the software under graphical user interface environment. AWS is able to compose or edit graphic transportation networks data by each scenario which could be the subject of an analysis. Besides, it use database structure that can handle every data of a scenario such as networks, O/D, and socio-economic data, etc. We expect this integrated process could provide each analyst with efficient and easy to use tool for their analysis. Each models in this software is based on traditional algorithms and the results were compared to existing software, EMME/2 and it showed similar results.

Forecasting of Demand for Papers in Korea (한국(韓國)의 지류(紙類) 수요예측(需要豫測)에 관한 연구(硏究))

  • Chung, Il Yong;Chung, Young Gwan
    • Journal of Korean Society of Forest Science
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    • v.65 no.1
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    • pp.80-91
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    • 1984
  • The purposes of this study are to analyze and forecast the domestic demand for papers by regression models with time-series data (1965-81). For the period of 1965-81, the real GNP of Korea grew at annual average increase rate of 8.8 percent. On the other hand, the domestic demand of papers grew at annual average increase rate of 17.9 percent in this period. Especially, the annual average increase rate for board-papers accounted to 25.8 percent. To analyze domestic demand for papers, GNP, per capita GNP, price findex of papers, production activity index of the major papers consuming industries and price index of substitutive goods were selected as independent variables. The expected values of domestic demand for papers were computed by forecasting equations as follows. T-values are in parentheses. ${\ell}nDDP=2.452+1.986{\ell}nPG-0.844{\ell}nPWI$ $(33.397)^*\;(-6.149)^*\;R^2=0.997$ ${\ell}nDDP=6.468+0.827{\ell}nPDA$ $(17.403)^*\;R^2=0.950$ DDP : Domestic demand for papers PG : Real GNP per capita (1,000 won) PWI : Real price index of papers (1980 = 100) PDAV : Production activity index of the major papers consuming industries The results analyzed and forecasted by these models are summarized as follows: The domestic demand for papers had positive correlation toward per capita GNP and production activity index of the major papers consuming industries. Per capita GNP elasticity of the domestic demand for papers was the most elastic among independent variables. The price elasticity of domestic demand for papers had negative sign and inelastic. These were not only statistically significant but theoretically compatible. The domestic demand for papers was projected to be 3,152-4,470 thousand mit in 1991, representing at annual increase rate of 5.0-12.4 percent during the period of 1982-91. Domestic demand for papers per capita was projected to be 69.1-98.0 kg in 1991.

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Forecasting Daily Demand of Domestic City Gas with Selective Sampling (선별적 샘플링을 이용한 국내 도시가스 일별 수요예측 절차 개발)

  • Lee, Geun-Cheol;Han, Jung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.10
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    • pp.6860-6868
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    • 2015
  • In this study, we consider a problem of forecasting daily city gas demand of Korea. Forecasting daily gas demand is a daily routine for gas provider, and gas demand needs to be forecasted accurately in order to guarantee secure gas supply. In this study, we analyze the time series of city gas demand in several ways. Data analysis shows that primary factors affecting the city gas demand include the demand of previous day, temperature, day of week, and so on. Incorporating these factors, we developed a multiple linear regression model. Also, we devised a sampling procedure that selectively collects the past data considering the characteristics of the city gas demand. Test results on real data exhibit that the MAPE (Mean Absolute Percentage Error) obtained by the proposed method is about 2.22%, which amounts to 7% of the relative improvement ratio when compared with the existing method in the literature.

기고 - 유통구조 합리화 신규 수요 확대 등 정책목표 중점 추진

  • Yang, Hae-Gu
    • LP가스
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    • v.22 no.1
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    • pp.38-43
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    • 2010
  • 2010년 한해에도 가스산업에 많은 변화가 예상됩니다. 국내적으로는 LPG업계의 담합판정으로 비난 여론이 급등하고 있으며, 기존 LPG 공급지역에 도시가스 보급이 확대되면서 국내 프로판 수요는 감소세 등 LGP 시장이 위기를 맞고 있습니다. 그러나 정부와 LPG업계는 어려운 상황에서도 LPG 경쟁력확보와 소비자 부담 완화 차원에서 LPG시장 안정대책을 금년에도 지속적으로 추진할 것입니다.

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86년도 일본 타이어 수요 전망

  • Lee, Gwang-Jae
    • The tire
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    • s.123
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    • pp.35-38
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    • 1986
  • 최근 일본 자동차타이어협회(JATMA)에서 발표한 바에 의하면 86년도 일본 타이어 수요량은 전년대비 1% 감소한 867,000톤(신고무)이다. 자동차 수출과 타이어 수출이 다같이 엔화강세의 영향을 받게 될 것으로 보고 있으며, 또 국내수요도 1%정도밖에 성장되지 않을 것으로 예측되어 전반적으로 전년도 수준을 약간 밑돌 것으로 전망하고 있다.

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석유제품수입자유화에 대한 견해

  • Korea Petroleum Association
    • Korea Petroleum Association Journal
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    • no.9 s.19
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    • pp.8-10
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    • 1982
  • 우리나라의 석유류제품가격이 외국에 비해 전반적으로 높은 이유는 고율의 특소세와 석유기금등 정부부문비용이 차지하는 폭이 크고 경질유 수요가 낮아 권유수율상의 수익성이 낮은데 기인하는 것으로 정유사의 통제범위외의 구조적인 요인에서 비롯되고 있다. 따라서 국내석유수요의 일부를 제품수입에 장기의존할 경우 국내석유류안정 공급이 크게 위협받게 될 것이다.

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Development of Diffusion Statistics for Demand Side Management (전력수요관리사업 보급실적 통계 개발)

  • Shin, Dong-Joon;Kim, Chang-Soo;Park, Jong-Jin
    • Proceedings of the KIEE Conference
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    • 2008.11a
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    • pp.200-202
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    • 2008
  • 본 논문에서는 국내에서 시행중인 전력수요관리사업의 현황을 분석하고 수요관리사업의 보급실적 통계를 구축하는 필요성과 구축 결과를 정리하였다. 일반적인 전력분야 통계와 구분되는 수요관리 분야 통계의 특성을 분석하였으며, 이러한 특성을 효율적으로 반영할 수 있는 수요관리보급통계 지표를 개발하였다. 또한 본연구를 통해 개발한 수요관리보급 통계집은 수요관리평가 웹페이지를 통해 보급하여 사용자의 편의성을 도모하였다.

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Modeling Domestic Transportation Sector Using Global Change Assessment Model (GCAM을 이용한 국내 수송부문 모델링)

  • JEON, Seungho;KIM, Suduk
    • Journal of Korean Society of Transportation
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    • v.35 no.2
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    • pp.91-104
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    • 2017
  • In this study, we discuss the modeling of domestic transport sector using GCAM(Global Change Assessment Model). The GCAM is one of integrated assessment models widely used in internationally modeling community, and applied for the evaluation of IPCC 5th Report. Nevertheless, it is noted that there are a considerable number of problems in its application to domestic transport sector. First, the base year information of GCAM for detailed transportation service demand is found not consistent with national statistics. Second, the transportation sector simulation results do not properly reflect the past trends of service demand. Thus, the base year service demand is carefully matched with the detailed national statistics. In addition, the existing models were checked and modified so that the simulation results of service demand can accurately reflect past trends of national statistics. As a result, it is reported in detail how the current GCAM simulation results are corrected and how the trend of past transportation sector service demands is properly reflected. This study is expected to be useful as a basic tool for future scenario analysis for transportation policy, technology evaluation and greenhouse gas reduction measures.

An Input-output Structural Decomposition Analysis of Korean Biotechnology Industry (국내 생물산업의 구조분해분석)

  • 정미애;허은녕
    • KSBB Journal
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    • v.18 no.5
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    • pp.356-362
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    • 2003
  • This study defines the biotechnology industry, examines its position in the domestic economy, and analyses its structure with I-O tables of year 1985, 1990 and 1995. Structural decomposition analysis is used in order to estimate the impact of different sources of growth. We classifies Korean biotechnology industry into 6 sectors, based on the survey of domestic biotechnology industry by Bioindustry Association of Korea. Empirical results indicate that each sector of bioindustry has various sources of growth and industrial demand has led the growth in all sectors except for food-bio and agriculture-bio. For the growth of the industry, each sector needs to cope with the change of the private demand and to improve the import and export structure.