• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1241-1249
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• 2014

This study presents preferences factors analysis of Car-sharing in Suwon. Approximately, 60% of the citizens prefer car-sharing and consider using it. The results of analysis by factors show higher preferences in these groups of travelers: man, younger, a resident of detached house and efficiency apartment, user of public transportation who finds it uncomfortable, traveler without vehicles, and traveler using car 1 to 3 times a week. The potential demand for car-sharing was highest in the residential areas and around the stations. Travelers prefer to pay the fee by the hour, which the fair value was 7,967 won. For the trip purpose of business, shopping and leisures, car-sharing is more preferred than taxi and rental cars. Findings will contribute to determining the direction of policy for the car-sharing.

• Journal of Korean Society of Transportation
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• v.26 no.6
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• pp.61-70
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• 2008

The study proposed a new type of bus information, Real-time Bus Crowdedness (RBC) information, to meet various demands of users and improve the convenience level of using public transportation, while existing bus information provided by bus information systems(BIS) were limited to bus operating information such as predicted bus arrival time. To analyze the impacts of providing the proposed RBC information, stated preference(SP) survey was performed and a methodology of disaggregate analysis (e.g., binary logit) was applied to develop passenger choice models. Additionally, passenger choice models incorporating the heterogeneity of different user groups(i.e., by age or trip purposes) were developed to evaluate the different responses on RBC information. The results showed that providing RBC information was significantly related to users' bus choices and the responses of user groups were significantly different, especially the age group of more then 60 was most affected by the RBC information on their bus choices. Also trip purposes were significantly related to users' bus choices, for instance the impacts of providing RBC information was bigger for non-business trips(leisure/meet friend/personal business, shopping, hospital) compared to business trip.

• International Journal of Highway Engineering
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• v.14 no.2
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• pp.93-99
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• 2012

This study analyzes traffic data which are collected by VDS(Vehicle Detection System) to research the relationship between spacing distribution and vehicles' relative speed. The collected data are relative speed between preceding and following vehicles, passing time and speed. They are also classified by lane and direction. For the result of the analysis, in the same platoon, we figure out that mean of spacing is 40m, which can be a value to determine section A to D. To compare spacing according to time interval, this study splits time intervals to peak hour and non-peak hour by peak hour traffic volume. In conclusion, vehicles in peak hour are in car following because most drive similar speed as preceding vehicle and they have relatively small spacing. On the other hand, non-peak hour's spacing between vehicles is bigger than that of peak hour. This implies driver's behaviors that the less spacing, the more aggressive and want to reduce their travel time in peak hour, whereas most drive easily in non-peak hour and recreational trip purpose because of less time pressure.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.2
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• pp.12-22
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• 2010

The variable message sign(VMS) is a facility to smoothen traffic flows and enable safe passing by providing real-time necessary information on roads, weather, transportation, and traffic regulations. The VMS also solves a feeling of uneasiness and gives a sense of psychological security by providing information to drivers. However, the VMS has a strong character of being a non-market product but a public product, so it has not normally been evaluated for its value. This research has evaluated a value of satisfaction level for traffic information users, using a contingent valuation method(CVM). As a result of evaluating the value of satisfaction level for users through division into an urban roadway and an urban highway for the cities where an intelligent transportation system(ITS) has been established, the urban highway had a value of 96.7 won/system and the urban roadway had a value of 76.3 won/system.

• Spatial Information Research
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• v.19 no.6
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• pp.75-86
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• 2011

This paper proposes a modified way to delimit the boundary of Busan metropolitan area and compares the empirical analysis with the existing metropolitan area boundary. More specifically, the present state of the metropolitan transportation network is reflected by service area analysis in our study area. The analysis of the linkage between the central city and its fringes considers various travel behaviors as well as commuting to work and school, based on origin-destination trip information. In addition, more diverse indices are applied to the analysis of urban characteristics, and the land cover map is used as well. Compared with the current Busan metropolitan area boundary, our empirical analysis captures the status quo of the undergoing spatial dynamics such as the newly form ed homogeneous sphere of living in our study area.

• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.51-63
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• 2008

Jeju-Mainland demand for air passenger is variated by the season because most of the demands stem from the leisure travel. This research is to estimate the econometrics demand models(A simple time series model and the partial adjustment model) and elasticities of each models for the Jeju-Mainland domestic routes air travel market using the time series aggregate data between the year 1996 and 2005. As the result of estimating, income elasticity was evaluated to be elastic(1.55) and fare elasticity was inelastic(-0.49${\sim}$-0.59) for A simple time series models. In the partial adjustment model's case, income elasticity was evaluated to be inelastic(0.51) in short-run whereas it was evaluated to be elastic(1.88) in long-run. Fare elasticity was evaluated to be inelastic in short-run(high-demand season: -0.13, slack season: -0.20) and long-run(high-demand season: -0.48, slack season: -0.72).

• Journal of Korean Society of Transportation
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• v.33 no.1
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• pp.14-28
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• 2015

Numerous research has been conducted using internet search data since the mid-2000s. For example, Google Inc. developed a service predicting influenza patterns using the internet search data. The main objective of this study is to prove the hypothesis that highway traffic indices are similar to the internet search patterns. In order to achieve this objective, a model to predict the number of vehicles entering the expressway and space-mean speed was developed and the goodness-of-fit of the model was assessed. The results revealed several findings. First, it was shown that the Google search traffic was a good predictor for the TCS entering traffic volume model at sites with frequent commute trips, and it had a negative correlation with the TCS entering traffic volume. Second, the Naver search traffic was utilized for the TCS entering traffic volume model at sites with numerous recreational trips, and it was positively correlated with the TCS entering traffic volume. Third, it was uncovered that the VDS speed had a negative relationship with the search traffic on the time series diagram. Lastly, it was concluded that the transfer function noise time series model showed the better goodness-of-fit compared to the other time series model. It is expected that "Big Data" from the internet search data can be extensively applied in the transportation field if the sources of search traffic, time difference and aggregation units are explored in the follow-up studies.

• International Journal of Highway Engineering
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• v.9 no.4
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• pp.1-9
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• 2007

To decide the number of road lane is very important and related to the 30th design hourly factor in the design of transportation facilities. But, as the quantitative division of road types is difficult, most planner and designer for deciding the 30th design hourly factors have used the fixed values in our country. In this study, we have analyzed the time series property of the design hourly factors in national highways and developed the model capable of estimating the 30th design hourly factors using real data. The presented model is a simple regression model(DHV = K*AADT), which is applied to the division of road lanes(2 or 4 lanes) and the level of AADT(3 levels). As a results, the simple regression model have better performance than the existing method with respect to MAPE and $R^2$. Also, the variations of the 30th design hourly factors are small. The more traffic volume increase, the more the factors decrease. But, the limitation of this study is to use the exiting method estimating the values of the factors, it is subject to study hereafter.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2483-2491
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• 2013

In order to identify and understand the crucial factors to induce traffic accident, causal relationships between diverse factors and traffic accident occurrence have been investigated continuously. It is one of most important issues all over the world to reduce the number of traffic accidents and deaths by them. Korea government is also stepping up their effort to reduce the number of traffic accidents and mitigate the severity of the accidents by establishing various traffic safety strategies. By introducing the five-day work week and increasing concern of leisure activities, the differences of trip characteristics between weekday and weekend is getting greater. According to this, the patterns and crucial factors of traffic accident occurrence in weekend appear differently from those in weekday. This study aims to understand major different factors affecting accident severity between weekday and weekend using 12,042 incident data occurred on freeways of Korea from 2006 to 2011. The model developed in this study estimated relationships among various exogenous factors of traffic accident by each type using SEM(Structural Equation Model). The result provides that road factors are related to the accident severity for weekday model, while environment factors affects on accident severity for weekend.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1154-1158
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• 2007

현재 국내 하천에는 수많은 보가 존재하고 있으며, 하천에 설치된 보는 보 주변 지역에 많은 혜택을 제공한다. 보의 규모가 클 경우 소수력 발전을 위한 용도로 사용되거나, 선박 통행을 위한 수심 확보 목적으로 활용된다. 상수원으로서 농업용수와 생활용수를 공급하며, 홍수 시 상부 저수지를 홍수 조절을 위한 목적으로 활용되며, 지역 주민들에게 여가 활용의 기회를 제공한다. 이렇듯 하천에 설치되어 있는 보는 유용한 역할을 수행하지만 사용하고자 하는 용도가 없어지고, 노후화되어 보의 기능이 점차 약화되는 보들이 하천에 계속 남아있게 된다면, 필요 없이 하천을 막아 흐름을 정체시켜 결국 환경이나 생태적인 측면에서 커다란 손실을 가져오게 된다. 최근 농경지 도시화, 경작 방식의 변화, 취수시설물 통폐합, 시설 노후화 등으로 매년 수십 개 이상의 보가 폐기되고 있으나, 폐기된 보는 대부분 철거되지 않고 하천에 남아 여전히 문제를 발생시키고 있으며, 외국의 경우에는 이미 기능 및 용도를 상실한 보 철거는 하천 생태통로 복원 등의 목적을 위해 하천환경복원의 한 방법으로 널리 활용하고 있다. 특히 보의 기능 상실 여부는 단순한 시설물 노후 여부로 따지는 것이 아니라 본래의 기능을 상실하였을 경우에는 시설물이 노후화되지 않았더라도 적극적으로 철거하고 있다. 본 연구는 보 철거를 통한 하천생태통로 복원 기술 개발을 위한 연구의 일환으로 기능을 상실한 보 철거를 위한 보 철거 선정 체계에 대한 시안을 제시하고자 한다. 철거 대상 보 선정을 위해서는 보 관리주체 및 보 주변지역에 거주하는 주민의 역할이 중요하며, 이에 따라 보 철거 선정 체계는 보 철거를 위해서 보 주변 지역 거주민을 설득하며, 하천의 환경 개선을 위한 합리적인 대안 제시를 목적으로 하고 있다. 선정 체계를 바탕으로 주민 협의 및 대안 제시를 통해 결정된 대상 보는 선정 체계 안에서 보 철거 영향 판단 절차에 따라서 보 철거로 인한 수문, 수리, 지형, 수질, 생태 영향을 판단하게 되며, 이와 더불어 사회 경제적인 영향을 평가하게 된다. 평가결과에 따라서 보를 완전히 철거하거나 다른 대안을 고려하여 보를 부분적으로 철거하거나 개량하게 된다.