• Title/Summary/Keyword: car ownership

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전국 장래 승용차 보유대수 추정에 관한 연구

  • 원제무;홍성표;유정복
    • Journal of Korean Society of Transportation
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    • v.7 no.1
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    • pp.5-18
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    • 1989
  • Understanding the future level of car ownership is essential in order to formulate various transportation policies. Despite its importance, however, a revies of literature indicates that previous studies treated car ownership as a linear function of income, GNP, degree of urbanization and etc. more detaild and accurate models of car ownership should be possible if information on major variables determining car ownership can be gathered. In this paper, three approaches have been chosen to develop mathematical models to predict future increase in car ownership in Korea. The three methords developed are : income distribution methords ; multiple regression models ; forecasting curves.

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Analysis on the Car Ownership Structure Considering Household Car Ownership Pattern (가구별 차량보유패턴을 고려한 차량 보유구조 분석)

  • Lee, Jeong Hun;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.4
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    • pp.667-675
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    • 2016
  • The goal of this study is to be used as baseline data for transportation demand management. At the present time the number of registered car and householding car is increasing, so there is a need to analyze the car ownership pattern through household car hold status. Also, it is necessary to analyze the factor of increasing car. The research is proceeded with classifying as the household which is holding private cars or holding passenger cars and non passenger cars based on the result of the research of the household travel survey data. The result of this study is shown as follows. According to car ownership pattern, there are more households holding passenger cars only when they are holding less than 2 cars. Otherwise there are more households holding passenger car and non passenger car when they are holding more than 3 cars. Using the Ordered Logit Model, there are more differences in factors affects holding cars by variables of housing type and household properties.

A Nested Logit Model of Auto Ownership and Vehicle Type Choices (승용차 보유대수와 차종선택에 대한 네스티드로짓모형의 추정)

  • Park, Sang-Jun;Kim, Seong-Su
    • Journal of Korean Society of Transportation
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    • v.25 no.1 s.94
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    • pp.133-141
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    • 2007
  • The study examines households' auto ownership and car type choice with a nested legit model. In summary. ${\rho}^2$ and the inclusive values, which represent the goodness of fit of the model, are statistically significant. Therefore. the nested logit model is superior to the standard legit model in this case. Also. the elasticity of operating costs is larger than 1, which means households' car ownership and car type choice is very sensitive to the operating costs. Finally, the elasticity of the operating costs in the lower income group is higher than that or the operating costs in the higher income group.

A Study on Car Ownership Forecasting Model using Category Analysis at High Density Mixed Use District in Subway Area

  • Kim, Tae-Gyun;Byun, Wan-Hee;Lee, Young-Hoon
    • Land and Housing Review
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    • v.2 no.3
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    • pp.217-226
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    • 2011
  • The Seoul Metropolitan Government is striving to minimize the amount of traffic according to the supply of apartment houses along with the solution of housing shortage for the low income people through high density development near the subway area. Therefore, a stronger policy is necessary to control the traffic of the passenger cars in a subway area for the successful high density development focusing on public transportation, and especially, the estimation of the demand of cars with high reliability is necessary to control the demand of parking such as the limited supply of parking lot. Accordingly, this study developed car ownership forecasting model using Look-up Table among category analyses which are easy to be applied and have high reliability. The estimation method using Look-up-Table is possible to be applied to both measurable and immeasurable types, easy to accumulate data, and features the flexible responding depending on the changes of conditions. This study established Look-up-Table model through the survey of geographical location, the scale of housing, the accessible distance to a subway station and to a bus station, the number of bus routes, and the number of car owned with data regarding 242 blocks in Seoul City as subjects.

Analysis of Willingness to Own Passenger Car Using Structural Equation Model (구조방정식을 활용한 승용차 보유의향 분석)

  • Lee, Jeong Hun;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.5
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    • pp.857-865
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    • 2016
  • This study analyzes 'willingness to have passenger cars' through perception survey about car use and possession. Social problems caused by increasing car use are serious. Because of the fact that 78.9% of registered vehicles are passenger cars and 75.3% of passenger cars are private cars, passenger cars are main reason of Social problems caused by using a car. So, we need to analyze the reason why people possess cars and need additional cars. Also we need to study about 'willingness to possess additional cars' through analysis of perception about car use and ownership. According to survey results, most households possess cars as means of commute, and most households need additional cars as means of commute to office, leisure, kids' commute to school and academy. Also we used Structural Equation Model to analyze car use and 'willingness to possess additional cars' according to ownership. Analysis results showed that car use is positively impacted by driving and usage perception, and negatively impacted by social problems such as parking, traffic congestion, traffic environment, and etc. Also, results showed that the number of car is positively impacted by usage perception, and negatively impacted by expenses. In case of 'willingness to have additional cars', is positively impacted by intention to use cars and negatively impacted by car ownerships. We think research results can be used as basic data to manage traffic demand.

A Study on the Announcement Effect of Corporate Size and Ownership Structure in the Corporate Division (분할기업의 규모와 소유구조에 따른 공시효과에 관한 연구)

  • Lee, Bo-Hyung;Chung, Taik-Young;Kim, Byeong-Su;Oh, Hyeon-Tak
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.1
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    • pp.257-263
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    • 2010
  • We studied about the difference of division public announcements by corporation size and ownership structure from 1999 to 2005. The results is as follow : First, we found most positive numbers in division corporation's CAR. This supports the existing research that corporation division is evaluated positively in the market. We found CAR as largest shareholders' holding more than 40%, which is greater than 0-20% & 20-40%, that shows relatively more negative CAR. So, the exceeded largest shareholders' holding rate (i.e., over 40%) can be a factor for decreasing corporations' value. Also, most positive CAR shows relatively small variation regarding corporation size knowing that big sized corporations have relatively small variation than small sized corporations. Second, we studied about relationship between corporate ownership structure and division public effects and found relatively a little effect by large shareholders, foreign investors' holding variables on division public.

Car-sharing in Overseas and Introduction to Korea (Car-sharing의 해외사례 및 국내 도입 효과 추정)

  • Lee, Jae-Yeong;Choe, Gi-Ju;Jeong, U-Hyeon
    • Proceedings of the KOR-KST Conference
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    • 2007.11a
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    • pp.180-187
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    • 2007
  • Car-sharing은 차량소유(Car ownership)의 대안으로서 개인이나 법인에게 차량을 한 시간의 짧은 단위로 이용하도록 하는 회원제 프로그램이다. 이는 차량을 보유하는 편리함 대신에 차량을 공동 이용함으로써 운영비용을 절감할 수 있다. 15년여 전 스위스에서 시작되어 현재는 유럽, 북미, 일본, 싱가포르 등에서 활성화되어 있고, 유럽에서는 대중교통과의 연계서비스까지도 실시하여 그 효과를 증대시키고 있다. 국내에서는 아직 기업의 수익성 사업으로 시도된 사례는 없으나 최근 서울 성산동 주민의 자발적인 참여로 6개 팀이 한 차량을 이용하는 형식으로 시도되어 이제 그 첫걸음을 떼고 있다. 본 논문에서는 Car-sharing에 대한 개념, 정의 및 택시나 렌터카 등 유사수단과의 비교, 그리고 해외에서 현재 운영 중인 Car-sharing 프로그램의 사례를 소개하고, Car-sharing 도입 시 발생하는 개인의 운영비용 절감뿐만이 아닌 차량통행 감소, 주차 수요 감소, 대중교통 이용률 증가, 오염물질 배출 저감, 교통 혼잡 감소 등 많은 종류의 사회적 편익을 국내 도입 시를 가정해 비용과 함께 개략적으로 추정, 편익-비용 분석을 통해 그 경제적인 효과를 검토하였다.

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가족휴가 의사결정에 영향을 미치는 요인

  • 홍성희
    • Journal of the Korean Home Economics Association
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    • v.34 no.5
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    • pp.99-114
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    • 1996
  • The purpose of this study was to identify the factors associated with the decision making of family vacation as a active leisure. The sample in this study consisted of 1,616 Korean married couples and household head had a salaried job. Statistics employed for the analysis were frequencies, means, porbit and tobit analysis. The results can be summarized as follows. First, the unearned household income, the number of formal vacation types had positive effects on whether the family decide their vacations or not, while car ownership had negative effect on int. Second, the wife's satisfaction of economic status, household earned income, total household expenditure-to-total household income ratio, and car ownership were significantly related to the days of family vacations. Third, husband's and wife's education attainment, household earned income, total household expenditure-to-total household income ratio, and living region were important variables for the family vacations' expenditures.

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A Study on the Estimation of the Ownerships of Bicycles by Spatial and Social Factors in Urban Area (도시의 공간적, 사회적 요인에 따른 자전차 보유도 추정에 관한 연구)

  • 김기혁
    • Journal of Korean Society of Transportation
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    • v.12 no.1
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    • pp.85-95
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    • 1994
  • While bicycles are an exhaust-free and low energy consuming mode of transport, the use of them is getting decreased. The aim of this research is to find out current levels of bicycle ownership and to estimate the ownerships of the bicycles by spatial structure and social factors in the metropolitan area. The parameters which affect on the characteristics of the bicycle ownership are classified into aggregate and disaggregate categories. The ownerships of the bicycles are estimated by the multiple regression analysis using urban characteristics data and the binary logit analysis using household characteristics data. The results of this study to population, car ownership, and number of male in the household, and negatively by the population density.

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