• Title/Summary/Keyword: 이항 로짓 모형

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Value of Travel-Time Savings in Metropolitan Road Freight Transportation with Freight Classification Code (화물품목 분류에 따른 대도시권 공로화물운송의 시간가치 산정)

  • 최창호
    • Journal of Korean Society of Transportation
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    • v.20 no.7
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    • pp.167-175
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    • 2002
  • The objective of this study is to reveal a shipper's preference for road freight transport according to commodity classification code. The shipper's preference in freight transport can be obtained by using value of travel-time savings. The characteristics of freight are so various that the shipper's preference also appear widely different. In these days, there were few attempts to estimate value of freight travel-time savings in Korea. but most of them included only rail or marine freight transport so it couldn't obtain unique travel-time savings for road freight transport. In this study the value of travel-time savings of road freight transport was estimated according to commodity classification code. Revealed preference method and associated binominal logit models were applied to estimate the value of travel-time savings in transit from a Seoul metropolitan commodity flow survey data in 1998. Data sets were segmented by commodity classification code and nineteen binominal legit models were estimated according to segmented groups. The results of this study showed that the value of freight travel-time savings varied wide ranges from 16,441 won to 66,769 won per hour a vehicle along with commodity classification code.

Determinants of Seafarers' Employment Stability (외항선원 고용형태 결정요인에 관한 연구)

  • Lee, Tae-Hwee
    • Journal of Navigation and Port Research
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    • v.44 no.6
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    • pp.534-540
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    • 2020
  • Like most developed countries, South Korea is experiencing a severe lack of seafarers. Because young people's demands for a high quality of life has led them to seek shore-based careers. The wage difference between seafaring and shore-based careers has been decreasing gradually, however South Korea's unique Boarding Service Reserve System Policy has helped recruit and retain young sailors and, since 2017, the government has focused on creating new jobs and stabilizing the status of irregular workers in both private and public sectors. It specifically established the Economic, Social & Labor Council to carefully analyze seafarers' employment stability, which previously had been overlooked in the country. This research used the Binary Logit Model (BLM) to analyze the determinants of seafarers' employment stability in both permanent and non-permanent positions. We found that seafarers' employment stability correlated highly with their education level. This means that seafarers who graduated from the above mentioned two maritime universities would have more job stablity than those who graduated from maritime high schools or general universities. Other independent variables, such as the shipping company, vessel, hip management companies, work assignment, rank, and license had no significant impact on employment stability.

Development of Mode Choice Model and Applications Considering Connectivity of Express Way (고속도로 연계성을 반영한 고속철도 수단선택모형 개발 및 적용)

  • Cho, Hang-Ung;Chung, Sung-Bong;Kim, Si-Gon;Oh, Jae-Hak
    • Journal of the Korean Society for Railway
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    • v.14 no.4
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    • pp.383-389
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    • 2011
  • Until now, in planning and constructing KTX and the Express Way, the connectivity and transfer between these facilities have not been considered. In this study the effect of mode choice behavior by connecting KTX and the Express Way is analyzed through estimating Multinomial Logit Model and Binary Logit Model. The SP and RP surveys to develop these models were carried out and the data were selected from the passengers using the KTX station, Express Bus Terminals and Rest Areas in the Express Way. To test the effect of connectivity and transfer in the field, the case study for Dongtan KTX station was carried out. According to the results, connecting the KTX station and the Express Way has the effect of increasing the demand by 30%. And this is caused by saving about 120 minutes of traveling time from Seoul to Pusan. This study shows that the connectivity and transfer can increase the efficiency of transportation system and the improvement in the mobility and accessibility will maximize the usages of these two facilities.

Stated Preference Analysis of the Impacts of Bus Crowdedness Information on Bus Choice (선호의식 조사를 통한 버스 차내 혼잡도 정보제공이 버스선택에 미치는 영향 분석)

  • Lee, Back-Jin;Kim, Joon-Ki;Kim, Gyeong-Seok;Oh, Sung-Ho
    • 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.

The regular physical activity impact on the individuals involved euphoria and determinants of engagement (규칙적 체육활동 참여가 개인의 행복감에 미치는 영향과 참여유도 결정요인)

  • Kim, Mi-Ok;Huh, Ji-Jung
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.667-675
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    • 2016
  • This study aims to investigate the effects of regular participation in physical activity on personal happiness by analyzing the "2014 National Leisure Sports Participation Survey". By using cross-tabulation and the binary logit model, it is found that there is a positive correlation between those two variables. The effect of positive affect on happiness index was found to be influenced by age, education level, occupation, income, marital status, appear. The results of the analysis of the relationship between the presence of sports facilities and the participation of regular physical activity using crosstab analysis and the analysis of physical activity showed positive relationship between two variables. Hence, it is expected that providing more opportunities to participate in sports programs can lead the public to more regular participation in physical activity.

An Analysis on the Preference and Use-Demand Forecasting of Bus Information (버스정보의 선호도 및 이용수요 예측에 관한 연구)

  • Lee, Won Gyu;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.791-799
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    • 2008
  • To build the system which has high utilization and usefulness for users, it is necessary to know the information type and use-demand that the use want. The purpose of this study is to forecast the preference and demand of utilization for bus information when bus information is offered through cellular phon. The accomplishments of this research are as follow : Firstly, importance on the level of individual factor and the value of change's figure can be evaluated, using preference analysis on bus information by conjoint analysis. Secondly, by establishing the use-demand model bus information using binary logit model, influence factor on whether or not the use of the user. Finally, ordered probit model was built by use behavior model in payment per call or per month of potential user of bus information. Through call times and sensitive analysis by payment methods, elasticity point, optimal payment fee, and use probability was analyzed. This study make application as basic to efficient bus information policy and to improve use rate of bus information in future because this study make it possible to get preference analysis, use-demand analysis and estimation of optimal payment fee which is reflecting various requirement in use of bus information user.

Disaggregate Demand Forecasting and Estimation of the Optimal Price for VTIS (부가교통정보시스템(VTIS) 이용수요예측 및 적정이용료 산정에 관한 연구)

  • 정헌영;진재업;손태민
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.27-38
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    • 2002
  • VTIS(Value-added Traffic Information System), among the sub-systems of ATIS, is an Advanced Traffic System which innovates efficiency and safety. And this system, having marketability and publicness, is very important. Moreover, This system offers definite traffic information according to the demand of specified users. And it is expected to produce additional spread effects because of high participation rate of private sector. However, the VTIS service media are varied and there are varied optimal Prices and payment methods according to each medium. Because of that, there needs the study on these problems or optimal criteria. But because existing studies were devoted to estimate the optimal route, the study toward the optimal price which was considered part of user and service use demand do not exist. Accordingly, we surveyed under imaginary alternative pricing scenarios and forecasted the use demand of VTIS by using Binary Logit model. Also, for the users who answered that they would use VTIS service in survey, we classified their use's behaviors as four categories and estimated the use ratio to each category by using Ordered Probit model. Last, using sensitivity analysis for results form above, we derived the optimal price that is 2800won in monthly. 145won in payment per call. Then, VTIS service use rate is respectively 65%, 75%.

A Study on the Relationship between Branding and Business Strategies of Korean Start-ups (한국 벤처창업기업의 상표와 비즈니스 전략간 연관성 분석)

  • Hyukjoon Kim;Yoo-Jin Han
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.2
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    • pp.27-43
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    • 2024
  • Recently, the importance of trademarks as a core resource of corporate competitiveness to protect and differentiate products and services is increasing. Global companies are focusing hard to secure trademark rights to manage brands that reflect their core values and to respond to increasingly frequent trademark disputes, while start-ups and individuals are working hard to secure trademark to run stable businesses and attract investment funds. Meanwhile, this study conducts an empirical analysis to identify the relationship between the brand and business strategy of domestic venture startups. The analysis data used was the response data of 2,230 corporate companies from the 2021 Venture Business Precision Survey, and the propensity score matching method, structural equation model analysis, and binomial logit analysis were used as analysis methods. As a result of the analysis, it was confirmed that domestic venture startups' trademark ownership does not make a significant difference in terms of the level of business strategy. This was confirmed to be because the brands of domestic venture start-ups mainly advance their business strategies only through the internal competency process, while the advancement of business strategies through the external competency process is very minimal. Meanwhile, it was confirmed that the level of cost advantage strategy among the business strategy levels of venture start-ups strengthens the tendency to hold trademarks, indicating that the higher the completeness of the cost advantage level, the more likely it is to expand trademark ownership for stable sales and supply of products and services through trademark ownership and to convert to high value-added in the future.

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Analysis of Decision Factors on the Participation of Scaling Project for Private Forest Management using a Logit Model (로짓모형을 이용한 산주의 사유림 경영 규모화 사업 참여 결정요인 분석)

  • Kim, Ki Dong
    • Journal of Korean Society of Forest Science
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    • v.105 no.3
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    • pp.360-365
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    • 2016
  • The purpose of this study is to provide the basic information for the early enforcement and extension of the improvement project of management scale of private forest land by understanding the characteristics of forest owners, who have an influence on the participation of the project as one of the private forest management vitalization plans. To achieve this goal, a questionnaire survey targeting 373 forest owners was conducted and analyzed by Binary-Logistic Regression. The variables for binary-logistic regression included gender, age, academic ability, occupation, income, residence, purpose of forest ownership, and status of cooperative membership. As a result of the analysis, 267 forest owners (71.6%) of total 373 forest owners have the intention to participate in the scaling project for private forest management. The rest of forest owners (106 forest owners, 28.4%) would not be willing to participate in the project. As a result of binary-logistic regression, the most important variables, which have an impact on the participation of private forest management scale improvement project, are age, job and forest own purpose.

Reasons for Violation of the Self Carfree Day Policy (승용차요일제 준수와 위반에 미치는 영향 분석)

  • Bin, Mi-Yeong;Jeong, Ui-Seok
    • Journal of Korean Society of Transportation
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    • v.28 no.4
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    • pp.61-73
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    • 2010
  • This research is to analyze reasons for violation of the Self Carfree day policy. It also analyzes satisfaction of the policy participation incentives. The results are that the violation rate is increasing if the drivers live in a zone which is highly energy consuming, which has low potential demand per bus stop and low trip generation per number of houses, which therefore requires more bus routes and bus services, and in which the drivers pay more car operating fees and show less tendancy towards participation even with the 5-10% oil price increase. The results are significant at the 0.05 level.