• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.101-115
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• 2008

This study reports UTIS(Urban Traffic Information System), which has been generalized in developed countries through brisk research and development and is being promoted for introduction by National Police Agency and Road Traffic Authority to reduce the astronomical amount of social expenses including traffic congestion expenses. Also this study investigates the proper charges for using by the preestimate of demand and contentment according to methods of payment after the service is introduced. The results of this study are as follows. First, demand forecast model is constructed by Binary Logit Model. Second, forecast models of using aspects of UTIS service according to methods of payment are established by Ordered Probit Model. Third, the proper charges for using of UTIS service according to methods of payment are presented to the supplier in the aspects of users. For this, preferences by using aspects and methods of payment are captured. And unit elasticity of coefficient of utilization is understood through responsiveness analysis according to methods of payment.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.47-56
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• 2015

Automated detection of interesting web pages could be used in many different application domains. Determining a user's interesting web pages can be performed implicitly by observing the user's behavior. The task of distinguishing interesting web pages belongs to a classification problem, and we choose white box learning methods (fixed effect logit regression and support vector machine) to test empirically. The result indicated that (1) fixed effect logit regression, fixed effect SVMs with both polynomial and radial basis kernels showed higher performance than the linear kernel model, (2) a personalization is a critical issue for improving the performance of a model, (3) when asking a user explicit grading of web pages, the scale could be as simple as yes/no answer, (4) every second the duration in a web page increases, the ratio of the probability to be interesting increased 1.004 times, but the number of scrollbar clicks (p=0.56) and the number of mouse clicks (p=0.36) did not have statistically significant relations with the interest.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.459-467
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• 2011

BIS(Bus Information Systems) supplies the bus arrived time information for users in using BIT(Bus Information Terminal) installed on the bus stop. BIT is the device using peoples directly. So, BIT need a quick response when it flew. These are an important factor in the strategy of the BIS maintenance. BIT need a maintenance cost to operate smoothly. So, Suppose that commercial advertisement can be displayed on BIT screen in this study. And we researched an advertisement rates of the optimum level in using Contingent Valuation Method. In addition, we analyzed a characteristic of user's depending on each time using multinomial Logit Modeling method, and studied for BIT operation and ad. displaying strategy considered user's sex, ages and using times.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.19 no.3
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• pp.61-68
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• 2011

유럽연합(EU)은 2012년부터 항공산업에 대해 탄소배출권 거래제도를 적용할 예정이다. 따라서 유럽공항에서 출발 및 도착하는 모든 국제선과 국내선 항공편에 대해 탄소세가 부과될 것이며 이는 한국도 예외는 아니다. 또한 유럽을 운항하는 경우 장거리에 해당되어 중단거리를 운항하는 항공기들에 비해 총 탄소배출량이 더 많으므로 비용부담이 커질 것으로 예상된다. 본 연구는 EU-ETS로 인한 탄소세가 항공요금에 반영된다면 항공여객들이 어느 정도 민감하게 반응할 것이며 이러한 점들이 궁극적으로 한국의 항공시장에 어떤 영향을 미칠 것인지를 파악해 보는데 목적이 있다. 이를 위해 인천국제공항에서 프랑크푸르트 국제공항 노선을 이용하는 승객을 대상으로 직항노선과 중동지역 경유노선을 비교하여 EU-ETS 가격이 반영된 항공요금에 대한 반응을 Revealed Preference (RP)와 Stated Preference (SP) 설문자료와 Logit Model을 사용하여 분석하였다. 본 연구결과는 한국의 항공산업은 물론 2012년부터 부과될 EU-ETS에 대한 항공사들의 전략개발에 도움이 될 것이다.

• Journal of Korean Society of Forest Science
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• v.99 no.6
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• pp.891-899
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• 2010

The purpose of this study is to estimate economic value of forest landscape function using conditional logit model, applied by Choice Experiment. For the study, we have chosen attributes and levels of forest landscape. In specific, topographical forest type, forest type, forest density, recreational factor (side trip, accessibility of valley) and WTP were included in attributes. Based on factors, we have made 48 choice sets with Balanced and Orthogonal form using SAS 9.1. The efficiency of questionnaire was 6.02 (D-Error: 0.1) and choice set and socio-economic variable were selected. In order to reduce cognitive load of respondent, 96 choice sets were divided into 4 types in questionnaire so that respondent could respond to 12 choice sets respectively. Population was citizens from 7 metropolitan cities including Seoul, and the interview survey was conducted to find out average annual WTP per household for the total 280 interviewees. As a result, In the Non-ASC model, Mcfadden' ${\rho}$ had 0.21, and Log Likelihood: -2,631. Average annual WTP per household for forest landscape was 266,723 Won(Korean currency).

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 1993.09a
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• pp.21-27
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• 1993

본 연구의 목적은 소비자인 각 가구의 주거 서어비스에 대한 다양한 수요가 나타난 주거 이동 주기를 규명하므로 수요자의 다양성에 의한 주택공급 정책의 접근시 기본 자료로 활용될 수 있도록 체계적 근거를 마련하고자 하는데 있다. 연구의 목적을 달성하기 위하여 연구의 틀을 형성하여 국토개발 연구원의 자료를 이용하여 실증 분석 하였다. 본 연구의 자료는 서울의 1620가구를 대상으로 하였고 SPSS와 LIMDEP을 이용하여 기초분석외의 판별분석, 로짓분석등을 이용하였다. 본 연구의 결과는 다음과 같다. 사회계층과 가족 생활 주기에 따라 주거 이동 동기와 주거 이동 형태가 달랐다. 하류계층은 강요된 이동동기가 많았고 수평 또는 하향 이동의 형태로 이동하였다. 중류 계층은 조정적 이동동기가 많았고 다른 계층에 비해 상향 이동이 많았다. 상류계층은 다양한 이동 형태를 가지고 있으며 특히 주거 시설 수준 면에서 상향이동을 하였다. 주거이동주기 유형을 파악하기 위하여 모델이 개발되었고, 모델에 의해 사회계층에 따라 상이한 유형이 나타났으므로 수요자의 다양성에 의한 주택 공급 정책이 필요함을 제시사해준다.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.1
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• pp.1-12
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• 2006

Approaches to spatial analysis differ from the type of spatial objects to be treated. Especially, in here, the case where two spatial data sets coexist is considered. The goal of such case lies on detecting a subset of spatial objects out of a large set that affects the distribution of the other object. However, it is not easy to extract a subset from a large set by visualization just with the help of GIS since huge amount of data are provided nowadays. In this research, therefore, relationship between two different spatial data are analyzed by quantitative measure in the case study of marketing geography. A purchase history data of a small retail store and the location of its competitors are given as source data for the analysis. The goal of analysis from the aspect of this case study is to extract strong competitors of the store that affects the sales amount of the store among many competitors. With the result, therefore, it is expected that market area pattern and competitive power of stores under micro scale retail environment would be understood by quantitative measure.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.541-549
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• 2017

This research investigates the quantitative screening methods for the Grant Funding system and seeks for the efficient evaluation of a number of proposals. We search foreign cases of Grand Funding, but we found no appropriate model for using in Korea. Thus, we had to develope our own model for better screening. First, we analyse the existing evaluation system and find some problems and challenges. Second, we suggest a quantitative screening system for Grant Funding with a numeric model, and operates a tedious simulation by using the previous data and our suggested model. Third, we test the suggested model and find the optimal model by using simulation method The number of data analysed for simulation is larger than 200 thousands. Last, we suggest some brief policy implications based on the results in the paper.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.671-677
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• 2011

A diversity of railway network function enhancement projects such as the double tracking, electrification, and direct operation have been actively executed to improve the railway service. When the new rapid transit is provided, how many people will use it instead of other transports? How will the railway choice behavior be changed? Accordingly, in this paper, the applicability of diverted travel demand forecast methods, by Revealed Preference(RP) and Stated Preference(SP) data was reviewed for Daegu metropolitan rail rapid transit service. As the result of combining RP and SP data, including the sequential and simultaneous approach, the total travel time and travel cost parameters are of the right sign and are highly significant. The simultaneous approach is more efficient in terms of the estimation of coefficients. In particular, methods to improve validity of the Mixed RP/SP models, when RP data is used proportionally, the diverted travel demand can be easily identified by railway fare and travel time service level. Therefore, it is considered that this will practically apply even in other regions as well as Daegu metropolitan railway.

• Survey Research
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• v.9 no.1
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• pp.23-42
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• 2008

This study purports to examine the potential determinants of welfare attitudes of Korean Youth. In a sense, this study could be considered as exploratory since the independent variables for model are chosen in a somewhat arbitrary manner. The independent variables are mostly value orientation of Youth. The welfare attitude is measured by the question asking respondent's nonnative idea on the primary care-giver in the old age. Data has been collected by National Youth Policy Institute as a part of research project, named "Korean Youth Development Indicators". The analysis shows that the welfare attitudes of Korean youth is influenced. by a number of factors. such as parent's education, a proxy for the parents' SES, attitude toward equality. and state's responsibility in general. The author contends that although this is an exploratory kind of study, this study contributes not only to the research in the field, hut also to the welfare policy-makers by providing generalizable outcomes on the value and attitudes of Korean youth on welfare issues. After all, policy needs public supports to be sustained.