• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1D
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• pp.11-16
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• 2009

The estimation of total travel time on highway link for a day or year is the most important process for the feasibility analysis of highway or railway. Most of current guidelines for feasibility studies have been based on the time-traffic volume relationship from the BPR, and the traffic volumes have been determined by the application of the design hour factor to the annual average daily traffic volume. Both of the BPR function and the application of the design hour volume may result in the over-estimation of travel time due to the fact that the traffic volume on the large portion of highway links in Korea are close to the capacities. This study proposed a new way which is based on the distribution of hourly volumes for a year. It could be closer to the real situation, and provide more reasonable estimation. This methodology was validated for the national highways, but may be applicable for any type of highway with the AADT.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1768-1772
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• 2007

본 연구에서는 국내 도시지역의 특성을 고려한 설계강우의 시간분포형에 따른 첨두유량의 변화를 규명하고자 Huff 및 Yen과 Chow의 시간분포방법을 이용하여 단시간 강우특성을 분석하였으며, 또한, 기왕의 연구인 건설교통부의 전기간 강우에 의한 시간분포와의 비교를 실시하고, 실제 도시지역에 적용하여 첨두유량의 변화를 분석하였다. 한다. 본 연구에서 선정한 대상지역은 서울, 부산과 대구지점이며, 강우자료는 1961년부터 2004년까지 44년간의 연속된 자료로서 기상청의 자기우량지 및 AWS자료를 이용하여 수집하였다. 첨두유량분석을 위한 대상유역으로는 서울특별시 일원의 성내와 반포배수구역과 부산광역시 일원의 동의대 시험유역, 경북 구미시 일원의 광평배수구역을 선정하였다. 본 연구의 수행으로 인해 얻어진 결과를 요약하면 다음과 같다. 첫째, Huff의 시간분포방법의 경우에는 단시간 강우자료의 지속기간에 따른 최대강우강도는 제1구간에서 발생할 확률이 가장 높게 나타났고, 제3구간에서 가장 낮게 발생하였으며, 기왕의 연구들과 차이가 발생하였다. 둘째, Yen과 Chow의 시간분포방법에서는 기왕의 연구와 본 연구의 결과에서 전반적으로 큰 차이가 발생하지 않았으며, 셋째, 첨두유량의 비교에서는 시간분포방법에 따라 변화가 발생함을 알 수 있었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.759-766
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• 2008

Road classification system is the first step for determining the road function and design standards. Currently, roads are classified by various indices such as road location and function. In this study, we classify road using various traffic indices as well as to identify traffic characteristics for each type of road. To accomplish the objectives, mixture model was applied for classifying road and analyzing traffic characteristics using traffic data that observed at permanent traffic count stations. A total of 8 variables were applied: annual average daily traffic(AADT), $K_{30}$ coefficient, heavy vehicle proportion, day volume proportion, peak hour volume proportion, sunday coefficient, vacation coefficient, and coefficient of variation(COV). A total of 350 permanent traffic count points were categorized into three groups : Group I (Urban road), Group II (Rural road), and Group III (Recreational road). AADT were 30,000 for urban, 16,000 for rural, and 5,000 for recreational road. Group III was typical recreational road showing higher average daily traffic volume during Sunday and vacational periods. Group I showed AM peak and PM peak, while group II and group III did not show AM peak and PM peak.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1087-1094
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• 2013

This study aims at enhancing the objective estimation of social cost of air quality due to mobile emission. More specifically, it examines the difference between the daily oriented and hourly oriented estimation results of social air quality cost and draws implications from the comparative analysis. The result indicates that the social cost of air quality differs up to approximately 24 times depending on the analysis time period. Moneywise, the difference between daily and hourly assignments amounts to the average of 653.5 billion won whereas only 1% of error occurred in the estimation result based on peak and nonpeak based hourly assignment. This study reaffirms the need for time-based travel demand management for emission reduction, and confirms the feasibility of emission estimation by travel demand forecasting method over the conventional method employed by the CAPSS.

• Journal of Korean Society of Transportation
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• v.30 no.1
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• pp.19-30
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• 2012

The majority of daily travel demands concentrate at particular time-periods, which causes the difficulties in the travel demand analysis and the corresponding benefit estimation. Thus, it is necessary to consider time-specific traffic characteristics to yield more reliable results. Traditionally, na$\ddot{i}$ve, heuristic, and statistical approaches have been applied to address the peak-hour ratio. In this study, a hybrid clustering model which is one of the statistical methods is applied to calculate the peak-hour ratio and its duration. The 2009 national 24-hour traffic data provided by the Korea institute of Construction Technology are used. The analysis is conducted dividing vehicle types into passenger cars and trucks. For the verification for the usefulness of the methodology, the toll collection system data by the Korea Express Corporation are collected. The result of the research shows lower errors during the off-peak hours and night times and increasing error ratios as the travel distance increases. Since the method proposed can reduce the arbitrariness of analysts and can accommodate the statistical significance test, the model could be considered as a more robust and stable methodology. It is hoped that the result of this paper could contribute to the enhancement of the reliability for the travel demand analysis.

• Journal of Navigation and Port Research
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• v.30 no.5 s.111
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• pp.397-404
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• 2006

Gamcheon harbor was developed as a multipurpose port to mix processing functions of exclusive piers for bulk cargo such as marine products, domestic cargoes. Since the container terminal was opened in 1997, maximum $40,000\sim50,000$ DWT containership have been incoming and outgoing. However, bemuse the breakwater entrance in Gamcheon harbor is narrow and the crossed vessels are ever-present at breakwater front, marine accident danger is high that grasping traffic characteristics is required in reply. Therefore marine traffic characteristics were analyzed for Gamcheon harbor and Gamcheon approaching waters, included the track and traffic volumes of peak hours period in inbound/outbound and front sea area of the harbor in present.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.137-146
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• 2006

Gamcheon Harbor was developed as a multipurpose port to mix processing functions of exclusive piers for bulk cargo such as marine products. domestic cargo. Since the container terminal was opened in 1997. maximum $40,000{\sim}50,000$ DWT containership have been incoming and outgoing. However, because [he breakwater entrance in Gamcheon Harbor is narrow and the crossed passing of ship is ever-present at breakwater front, marine accident danger is high that grasping traffic characteristics is required in reply. Therefore marine traffic characteristics were analyzed for Gamcheon Harbor, included the track and traffic volumes of peak hours period in inbound/outbound and front sea area of the harbor in present.

• Journal of Korean Society of Transportation
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• v.19 no.4
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• pp.59-69
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• 2001

본 연구는 지속적인 교통량의 증가로 인해 발생되고 있는 고속도로의 혼잡을 해결하기 위해 한국도로공사에서 도입, 시범사업을 실시하고 있는 자동요금징수시스템의 효과를 분석하고자 한다. 이를 위해 하이패스라고 하는 자동요금징수시스템의 시범운영이 실시되고 있는 서울외곽순환고속도로의 판교, 청계, 성남 톨게이트를 대상으로 정량적 측면과 정성적 측면에 대해 시범사업 시행 전.후의 상황에 대해 비교.분석하였다. 시행 전.후를 비교해 본 결과, 정량적 측면에서 각 톨게이트 별 시간대별로 다른 결과를 보이긴 하지만 이용율이 비교적 높은 오전 첨두시에는 3개 톨게이트 모두 효과가 있는 것으로 나타나, 일정수준 이상의 이용율이 있는 경우는 효과가 있는 것으로 분석되었다. 정성적 측면의 이용자 만족도 조사에서는 하이패스 이용자의 84%가 만족하는 것으로 나타났으며 비이용자 선호도 조사에서는 응답자의 91%가 하이패스 이용의사가 있는 것으로 조사되어 효과가 있는 것으로 분석되었다. 결론적으로 7,000대의 단말기 과소 보급으로 아직까지는 평균 3.9%의 저조한 이용율을 보여 시범사업의 전반적인 사업효과가 제대로 나타나지 알고 있지만, 비교적 하이패스의 이용율이 높은 오전첨두에는 효과가 있는 것으로 나타난 점을 보아 2000년 12월부터 시행되고 있는 단말기의 추가 보급이 완료되는 시점에는 그 효과가 분명하게 나타날 것으로 예상된다. 따라서. 이용자의 만족도와 비 이용자의 선호도가 매우 높은 상황에서 현재의 시범운영상에서 발생된 문제점을 개선하여 하이패스를 확대.보급한다면 고속도로의 혼잡을 해결할 수 있는 좋은 방안이 될 것으로 판단된다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.2
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• pp.57-66
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• 2012

This study intended to evaluate the operational performance change from the introduction of the bus signal priority system using the field data. To complete the objective, travel time and volume data were collected from the before and after study, then the distribution of individual vehicle's travel time and the difference of travel time and traffic volume were compared respectively. Analysis results showed that no significant volume change was observed from both passenger vehicle and bus for the major and cross streets. It was identified that the quality of travel time distributions of passenger vehicle and bus was improved after introducing the bus signal priority system. In terms of average speed, passenger car in a major direction increased by 6.5% and bus increased by 10.5% in general. Statistical tests showed that those speed differences were statistically significant at the 95% of confidence level. The results of this paper will be a good source for further research in the area of bus signal priority control.

• Journal of Korean Society of Transportation
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• v.20 no.5
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• pp.33-43
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• 2002

Travel choice behavior is affected by real-time traffic information. Recently, in urban area, real-time traffic information is provided by several instruments such as transportation broadcasting, internet PC network and variable message sign, etc. Furthermore, it has been increasing for urban travelers to use real-time traffic information provided by several instruments. The purpose of this study is to analyze the effects of advanced traveler information on urban worker's travel choice behavior. Among several Advanced Traveler Information System(ATIS) employed in urban area. This study focuses on examining the effects of transportation broadcasting on urban worker's travel choice behavior. This study attempts to examine traveler's mode change behavior in the pre-trip stage and traveler's route change behavior in the on-route stage. For this study, the survey data collected from Daegu City in 2000 is used. For empirical analysis, several nested logit models are estimated, and among them, the best models are reported in this paper. Furthermore, based on the empirical models estimated for this research, important findings and their policy implications are discussed.