• Title/Summary/Keyword: multinomial legit

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A study on the Factors Influencing Traveler's Mode Choice (통행수단선택에 영향을 미치는 요인에 관한 연구 - 지역특성이 통행수단선택에 미치는 영향에 대해서 -)

  • Gwon, Se-Na;Kim, Hyeong-Jin;Son, Bong-Su
    • Proceedings of the KOR-KST Conference
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    • 2007.02a
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    • pp.181-190
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    • 2007
  • The purpose of this study is to analyze the effects of the regional characteristics on traveler's mode choice - private car, bus, and subway - by developing multinomial legit model for commuting and shopping trips respectively. In results, this study argues that the regional characteristics affecting commuting trips are very different from those influencing shopping trips. The research on the regional characteristics and their impact on the individuals' travel mode choice can find these variables have a significance.

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A spatial housing domand analysis with the use of residential choice probabilities (주거지 선택확률을 이용한 지역적 주택수요의 분석)

  • SooKyeongHo
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 1992.11a
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    • pp.45-51
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    • 1992
  • The purpose of this study was to predict the spatial housing demand of households in Seoul with the use of residential choice probabilitics. An multinomial legit model is developed using socio-demographic and housing characteristics. SAS package was utilized to estimate this model. This study used the data obtained by the Korea Rosearch Institute for Human Settlemente in 1989. The sample size was 3941 households in Seoul.The residential choice probability varicd depending upon the residential area, head age, head age, tenure and work place. The households with students were more likely to choose kangnam are. The households without young children had higher probability to choose new town near Seoul. Prime reason of this two results were considered the chi Id education and their better housing, Kangnam area was known to be the first consideration for residential choice regardless of work place. Low level of choice probability of kangman area for future residences however, was evidenced. Prime reason of such seemingly contradicting phenomenon is suspected for higher housing prices and limited affordability of people surveyed.

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The Burden of Private Educational Expenditure and Consumption Expenditure (사교육비 부담과 가계의 소비지출)

  • Lee Seong-Lim
    • Journal of Families and Better Life
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    • v.23 no.3 s.75
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    • pp.63-76
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    • 2005
  • Using the data from the Family Income & Expenditure Survey, this study investigated (1)the factors determining the level of burden of the private educational expenditure in households; (2) the influences of the level of the burden of private educational expenditure on the other household expenditures. For the analysis of data Chi-square, GLM, Multinomial legit, and Seemingly Unrelated Regression were applied. The major findings were: (1) The factors associated with the burden of private educational expenditure were the number of students by each of the school levels, housing tenure, location of residence, educational attainment of householder; (2) Households with the lower level of burden of the private educational expenditure adjusted the allocation of the expenditure shares of food, utility, and transportation and did not reduce the levels of consumption. Households with the higher level of burden of the private educational expenditure adjusted the extensive ranges of the household expenditure shares and reduced the levels of consumption.

Multinomial Logit Modeling: Focus on Regional Rail Trips (다항로짓모형을 이용한 지역간 철도통행 연구)

  • Kim, Gyeong-Tae;Lee, Jin-Seon
    • Journal of Korean Society of Transportation
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    • v.25 no.1 s.94
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    • pp.109-119
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    • 2007
  • Increasingly, the emphasis in regional Passenger rail Planning is finding ways to more efficiently use existing facilities, with particular attention being Paid to Policies designed to spread Peak-Period travel demand more evenly throughout the week with consideration of train classification. In this context the individual's choice of time to travel is of crucial significance. This paper investigates the use of multinomial logit analysis to model ridership by rail classification using data collected for travel from Seoul to Busan during the one week in October 2004. The Particular model form that was successfully calibrated was the multinomial logit (MNL) model : it describes the choice mechanism that will Permit rail systems and operations to be planned on a more reliable basis. The assumption of independently and identically distributed(IID) error terms in the MNL model leads to its infamous independence from irrelevant alternatives (IIA) property. Relaxation of the IID assumption has been undertaken along a number or isolated dimensions leading to the development of the MNL model. For business and related rail travel patterns, the most important variables of choice were time and frequency to the chosen destination. The calibrated model showed high agreement between observed and Predicted market shares. The model is expected to be of use to railroad authorities in Planning and determining business strategies in the Increasingly competitive environment or regional rail transport.

Effects of IT-related Household Demand Characteristics on DTV Adoption: An Empirical Analysis Using Micro Data (가구의 정보통신수용도가 DTV 구매에 미치는 영향 micro data를 이용한 실증연구)

  • Yoon, Choong-Han;Kim, Hyoung-Jun;Kim, Yong-Kyu
    • Journal of Korea Technology Innovation Society
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    • v.10 no.1
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    • pp.164-181
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    • 2007
  • This paper empirically analyzes determinants of DTV (Digital Television) adoption in household survey data with IT-related household demand characteristics. To this purpose, we conducted a survey for the adoption of DTV to 1,000 households nationwide. In the questionnaire, various questions asking socio-economics characteristics such as age, education, income were included. Also, status of adoption and usage of IT services such as paid broadcasting, internet, and DVD were asked. To analyze the determinants of intention of purchasing, decision of purchasing, and the timing of purchasing DTV, we adopted the ordered logit, binary logit and multinomial legit models. When there is an order among groups, ordered logit was employed and when there is no orders among groups, multinomial logit was emplyed for the estimation. It is found that when conditions of other explanatory variable are constant, the more educated household heads are, the more probable they become early adopters of DTV. It is also found that other conditions being constant, the income level of households and IT-related household demand characteristics are very important factors affecting DTV adoption. Since the likelihood of purchasing DTV is much higher for those who know the government policy of analog broadcasting termination schedule than others who do not know, dissemination of the Korean government's digital broadcasting policy will affect significantly the adoption of DTV. And policy with various incentives ought to be employed to accelerate DTV adoption, because households with the older TV sets are more likely to purchase DTV. It is suggested that the Korean government should develop policy to connect both DBS (Direct Broadcast Satellite) and DTV since DBS subscribers are more likely to be an early adopter than non-subscribers.

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