• Title/Summary/Keyword: Traffic Volume Data

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The Relationship between the Prevalence of Allergic Diseases and Urinary Cadmium Concentrations among School-age Children in Two Regions in Ulsan Metropolitan City (울산의 두 지역 초등학생의 알레르기 질환 유병과 요중 카드뮴 농도와의 관련성)

  • Kim, Ahra;Hong, Young-Seoub;Bang, Jin-Hee;Oh, Inbo;Chung, Jin-Young;Sim, Chang Sun;Lee, Hyun Jin;Kim, Yangho;Lee, Jiho
    • Journal of Environmental Health Sciences
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    • v.42 no.6
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    • pp.396-408
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    • 2016
  • Objectives: The purposes of this study were to determine the relationship between the prevalence of allergic diseases and urinary cadmium concentration among children from six to 12 years of age, and to evaluate the association between cadmium in urine and other immunologically related factors in two elementary schools with different environmental conditions. Methods: Data on physician-diagnosed prevalence over the past 12 months and potential risk factors for allergic disease were collected from survey results drawn from 236 children living in different regions (central urban vs. suburban) from April to July in 2014 by an ISAAC questionnaire. We analyzed cytokine levels in serum through enzyme-linked immunosorbent assay and urinary cadmium concentration by use of inductively coupled plasma mass spectrometry. Results: Concentrations of urinary cadmium in suburban and central urban children were $0.11{\pm}0.11ug/L$, $0.14{\pm}0.17ug/L$, respectively (p>0.05). Results from the analysis of the t-test and chi-square test showed that urinary cadmium levels were positively associated with environmental factors (paternal smoking status, passive smoking, traffic volume and experiences of outdoor odors) and individual genetic factors (parental allergic disease). Cadmium concentrations in urine were also positively associated with the prevalence of allergic disease and immune-related cytokines (eosinophils, IgE, IL-5, IL-33, IL-17). Conclusion: This study suggests that genetic factors (parental history of allergic diseases), environmental factors, and regional status (suburban and central urban) should be considered as probable factors increasing the concentration of urinary cadmium, which has the potential to influence the allergic disease prevalence of school-age children.

Inspecting Stablity of DSM method with Grouting on Tunnel Face using Chamber Test and Numericlal Analysis (토조실험과 수치해석을 이용한 막장면 그라우팅 DSM공법의 안정성 검토)

  • Kim, Young-Uk;Park, Young-Bok;Kim, Li-Sak;Kim, Nak-Kyeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.3
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    • pp.677-683
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    • 2016
  • In urban areas, underground tunnel construction sites have spread widely to accommodate rapidly increasing traffic volume along with a high-degree economic growth. Earth tunneling might be adapted frequently for the underground space securing, and various tunneling methods have been developed to stabilize the tunnel face and crown. Among them, the DSM (divided shield method) is gaining popularity for its enhanced stability and construction efficiency. This method has its foundation from the Messer Shield method, which is one of the trenchless special tunneling methods. This study examined the effects of face reinforcement on construction the sequence through a large scale soil chamber test and numerical analyses. The chamber has a size of a 1/2 scale of the real tunnel. Surface settlements were measured according the tunneling process. Commercially available software, MIDAS GTS, was used for numerical analysis and its result was compared with the values obtained from the chamber test. The results of the study show that both settlements of the embanked soils and the stress of the tunnel girder are located within the safe criteria. Overall, this study provides basic data and the potential of using a reinforced tunnel face to enhance DSM applications.

The Effect of Application of Injury Area to Overcrowding Indices in Local Emergency Department (지역응급의료센터에서 손상구역 운용이 응급실 과밀화 지표에 미치는 영향)

  • Kang, Jin Wook;Shin, Sang Do;Suh, Gil Joon;You, Eun Young;Song, Kyoung Jun
    • Journal of Trauma and Injury
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    • v.20 no.2
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    • pp.77-82
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    • 2007
  • Purposes: There have been many efforts to improve the service of emergency centers. In spite of these, no evidence is showing any landmark advancement of emergency services, especially in the hospital stage, exists. We need some efficient standard criteria to evaluate emergency service in the hospital stage, and a useful method might utilize the overcrowding index. We want to know the change in the overcrowding index at a regional emergency center after injury area administration. Injury area means an area in which only an assigned duty physician manages patients with injuries such as those from traffic accidents, falls, assualts, collisions, lacerations, amputations, bums, intoxication, asphyxia, drowning, animal bites, sexual assualts, etc. Methods: We started to operate an injury area in our emergency department from late 2004, and from January to June in 2004 and in 2005, we collected patients' data, age, sex, assigned department, and result from hospital order communication system to figure out overcrowding indices and result indices. We found the daily number of patients, the turnover rate, the admission rate, the ICU admission rate, the emergency operation rate, the ED stay duration, and the ED patient volume to be overcrowding indices. Also we found the withdrawal rate, the transfer rate, and mortality to be result indices. We compared these indices between 2004 to 2005 by using a t-test. Results: There was a significant increase in the daily number of visiting patients in 2005, overcrowding indices, such as the turnover rate, the admission rate, the ICU admission rate, and the emergency operation rate, also showed statistically significant increases in 2005 (P<0.001). As for the result indices, there was a noticeable decrease in the number of withdrawals (11.77/day in 2004 to 4.53/day in 2005). Conclusion: Operating an injury area in a mildly overcrowded local emergency center is beneficial. Evaluating the effect of operating an injury area and it's impact on hospital finances by conducting a similar study analyziing patients for a longer duration would be valuable.

A Study on the Risk Assessment of River Crossing Pipeline in Urban Area (도심지 하천매설배관의 위험성 평가에 관한 연구)

  • Park, Woo-Il;Yoo, Chul-Hee;Shin, Dong-Il;Kim, Tae-Ok;Lee, Hyo-Ryeol
    • Journal of the Korean Institute of Gas
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    • v.24 no.2
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    • pp.22-28
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    • 2020
  • In this study, quantitative risk assessment was carried out for city gas high-pressure pipelines crossing through urban rivers. The risk assessment was performed based on actual city gas properties, traffic volume and population and weather data in the worst case scenario conditions. The results confirmed that the social and individual risks were located in conditionally acceptable areas. This can be judged to be safer considering that the risk mitigation effect of protecting the pipes or installing them in the protective structure at the time of the construction of the river buried pipe is not reflected in the result of the risk assessment. Also, SAFETI v8.22 was used to analyze the effects of wind speed and pasquil stability on the accident damage and dispersion distances caused by radiation. As a result of the risk assessment, the safety of the pipelines has been secured to date, but suggests ways to improve safety by preventing unexpected accidents including river bed changes through periodic inspections and monitoring.

Page Logging System for Web Mining Systems (웹마이닝 시스템을 위한 페이지 로깅 시스템)

  • Yun, Seon-Hui;O, Hae-Seok
    • The KIPS Transactions:PartC
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    • v.8C no.6
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    • pp.847-854
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    • 2001
  • The Web continues to grow fast rate in both a large aclae volume of traffic and the size and complexity of Web sites. Along with growth, the complexity of tasks such as Web site design Web server design and of navigating simply through a Web site have increased. An important input to these design tasks is the analysis of how a web site is being used. The is paper proposes a Page logging System(PLS) identifying reliably user sessions required in Web mining system PLS consists of Page Logger acquiring all the page accesses of the user Log processor producing user session from these data, and statements to incorporate a call to page logger applet. Proposed PLS abbreviates several preprocessing tasks which spends a log of time and efforts that must be performed in Web mining systems. In particular, it simplifies the complexity of transaction identification phase through acquiring directly the amount of time a user stays on a page. Also PLS solves local cache hits and proxy IPs that create problems with identifying user sessions from Web sever log.

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A Study on Mode Choice of Trips to Sport Facilities Using SP Survey Data (SP조사자료를 활용한 스포츠시설 이용 수단선택에 관한 연구)

  • KIM, Joo Young;LEE, Seungjae;KIM, Jae-Young;PARK, Hyeon
    • Journal of Korean Society of Transportation
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    • v.35 no.3
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    • pp.197-209
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    • 2017
  • With the advent of age that people spend more time and money on leisure activities, there is increasing interest in professional sport games. The location of large scale sport facilities has substantial impacts on existing transportation pattern because the facility attracts and generates massive traffic volume within a short period of time. This study aims to develop a mode choice model of leisure trips of which the destinations are a sport facility. A structured SP (stated preference) survey questionnaires were developed through an experimental design, and professional sport spectators were asked to state their preference in the choice of transport mode to the sport facility. The survey results show that public transportation is preferred to passenger cars for their trip to big sports event, implying that the convenience of back home trip after the event is an important factor of their mode choice. This study is a rare research on the trip pattern to sports complex in Korea, which provides policy implications on the provision of mass transit including subway system to large scale sport complexes. And it is also expected that this study contributes to future researches on leisure trip pattern.

Analysis of braking characteristics of electric multiple unit for train control system (열차제어시스템을 위한 전동차 제동특성 분석)

  • Choi, Don Bum;Oh, Sehchan;Kim, Min-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.887-895
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    • 2018
  • This paper presents a braking model that can be used to design the safety distance of a train control system and a train braking system to increase the volume of traffic. For the braking model, a train set (electric multiple unit composed 6 cars) was tested. The factors that can affect the braking characteristics include the friction coefficient, braking pressure, and regenerative braking. The braking pressure was classified into service and emergency braking and reflected the characteristics of the vehicle. The external force acting on the running railway car was tested in accordance with KS R 9217, and the running resistance of the train is presented in the form of a polynomial. The dynamic behavior of the train running on a straight flat line was simulated using UM 8.3. The results were validated with experimental data, and the results were reasonable. With the validated model, a stopping distance was determined according to the initial braking speed and compared with the deceleration braking model. In addition, a safety distance for the train control system could be changed according to the frictional coefficient limits. These results are expected to be useful for analyzing the dynamic behavior of trains, and for analyzing various railway environments and improving the braking performance.

Analysis of Factors Affecting on the Freight Rate of Container Carriers (컨테이너 운임에 미치는 영향요인 분석)

  • Ahn, Young-Gyun;Ko, Byoung-Wook
    • Korea Trade Review
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    • v.43 no.5
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    • pp.159-177
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    • 2018
  • The container shipping sector is an important international logistics operation that connects open economies. Freight rates rapidly change as the market fluctuates, and staff related to the shipping market are interested in factors that determine freight rates in the container market. This study uses the Vector Error Correction Model(VECM) to estimate the impact of factors affecting container freight rates. This study uses data published by Clarksons. The analysis results show a 4.2% increase in freight rates when world container traffic increases at 1.0%, a 4.0% decrease in freight rates when volume of container carriers increases by 1.0%, a 0.07% increase in freight rates when bunker price increases by 1.0%, and a 0.04% increase in freight rates accompanying 1.0% increase in libor interests rates. In addition, if the current freight rate is 1.0% higher than the long-term equilibrium rate, the freight rate will be reduced by 3.2% in the subsequent term. In addition, if the current freight rate is 1.0% lower than the long-term equilibrium rate, the freight rate will decrease by 0.12% in the following term. However, the adjusting power in a period of recession is not statistically significant which means that the pressure of freight rate increase in this case is neglectable. This research is expected to contribute to the utilization of scientific methods in forecasting container freight rates.

Traffic Forecasting Model Selection of Artificial Neural Network Using Akaike's Information Criterion (AIC(AKaike's Information Criterion)을 이용한 교통량 예측 모형)

  • Kang, Weon-Eui;Baik, Nam-Cheol;Yoon, Hye-Kyung
    • Journal of Korean Society of Transportation
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    • v.22 no.7 s.78
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    • pp.155-159
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    • 2004
  • Recently, there are many trials about Artificial neural networks : ANNs structure and studying method of researches for forecasting traffic volume. ANNs have a powerful capabilities of recognizing pattern with a flexible non-linear model. However, ANNs have some overfitting problems in dealing with a lot of parameters because of its non-linear problems. This research deals with the application of a variety of model selection criterion for cancellation of the overfitting problems. Especially, this aims at analyzing which the selecting model cancels the overfitting problems and guarantees the transferability from time measure. Results in this study are as follow. First, the model which is selecting in sample does not guarantees the best capabilities of out-of-sample. So to speak, the best model in sample is no relationship with the capabilities of out-of-sample like many existing researches. Second, in stability of model selecting criterion, AIC3, AICC, BIC are available but AIC4 has a large variation comparing with the best model. In time-series analysis and forecasting, we need more quantitable data analysis and another time-series analysis because uncertainty of a model can have an effect on correlation between in-sample and out-of-sample.

Real Option Analysis to Value Government Risk Share Liability in BTO-a Projects (손익공유형 민간투자사업의 투자위험분담 가치 산정)

  • KU, Sukmo;LEE, Sunghoon;LEE, Seungjae
    • Journal of Korean Society of Transportation
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    • v.35 no.4
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    • pp.360-373
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    • 2017
  • The BTO-a projects is the types, which has a demand risk among the type of PPP projects in Korea. When demand risk is realized, private investor encounters financial difficulties due to lower revenue than its expectation and the government may also have a problem in stable infrastructure operation. In this regards, the government has applied various risk sharing policies in response to demand risk. However, the amount of government's risk sharing is the government's contingent liabilities as a result of demand uncertainty, and it fails to be quantified by the conventional NPV method of expressing in the text of the concession agreement. The purpose of this study is to estimate the value of investment risk sharing by the government considering the demand risk in the profit sharing system (BTO-a) introduced in 2015 as one of the demand risk sharing policy. The investment risk sharing will take the form of options in finance. Private investors have the right to claim subsidies from the government when their revenue declines, while the government has the obligation to pay subsidies under certain conditions. In this study, we have established a methodology for estimating the value of investment risk sharing by using the Black - Scholes option pricing model and examined the appropriateness of the results through case studies. As a result of the analysis, the value of investment risk sharing is estimated to be 12 billion won, which is about 4% of the investment cost of the private investment. In other words, it can be seen that the government will invest 12 billion won in financial support by sharing the investment risk. The option value when assuming the traffic volume risk as a random variable from the case studies is derived as an average of 12.2 billion won and a standard deviation of 3.67 billion won. As a result of the cumulative distribution, the option value of the 90% probability interval will be determined within the range of 6.9 to 18.8 billion won. The method proposed in this study is expected to help government and private investors understand the better risk analysis and economic value of better for investment risk sharing under the uncertainty of future demand.