• Journal of Agricultural Extension & Community Development
• /
• v.29 no.2
• /
• pp.99-110
• /
• 2022

This study aims to examine the characteristics of farming settlement in young farmers. In order to analyze the effect of each characteristic on young farmers' intention for settling into farming, an ordered logit model was employed. As for the individual characteristics affecting their intention for settling into farming, age and the highest education level showed a positive effect, while family-run farming had a negative effect, which was found statistically significant. For the financial characteristics, farm income had a statistically significant positive effect. On the other hand, the social and policy characteristics did not show any statistically significant effect.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.26 no.4
• /
• pp.55-70
• /
• 2001

Artificial neural network(ANN) models have been widely used for the classification problems in business such as bankruptcy prediction, credit evaluation, etc. Although the application of ANN to classification of consumers＇ choice behavior is a promising research area, there have been only a few researches. In general, most of the researches have reported that the classification performance of the ANN models were better than conventional statistical model Because the survey data on consumer behavior may include much noise and missing data, ANN model will be more robust than conventional statistical models welch need various assumptions. The purpose of this paper is to study the potential of the ANN model for forecasting consumers＇ choice behavior based on survey data. The data was collected by questionnaires to the shoppers of department stores and discount stores. Then the correct classification rates of the ANN models for the training and test sample with that of multiple discriminant analysis(MDA) and logistic regression(Logit) model. The performance of the ANN models were betted than the performance of the MDA and Logit model with respect to correct classification rate. By using input variables identified as significant in the stepwise MDA, the performance of the ANN models were improved.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.21 no.4
• /
• pp.131-145
• /
• 1994

The leisure demands and the interests for the quality of urban residents have been increased, but the leisure space is absolutely deficient. In the leisure site planning, the concrete understanding about people's leisure site choice is the most important thing, not only for the aspect of the leisure demands reception and the improvement of the life quality but also the aspect of the efficiency of land use. The purposes of this study are firstly, to find out prefered leisure sites, secondly, to establish the choice models of the each prefered leisure site to be substituted for existing indiscriminating leisure space planning. And for the choice model establishment, we used Logit Model, which has been used in the Traffic, the Toursim, the Economics fields. We extract people's perfered leisure sites in Seoul through 1st and 2nd survey, those are a park, a pocket park, a play hall, a recreation center(sport center), a hobby facility, a library. The established choice model for each prefered site can predict people's choice about 70 percents correctly. It indicates that the Logit model is useful for the explanation about the choice of residents in the urban area. Specially, the main affect factors to the choice of each prefered leisure site are different. It means that different consideration factors or different standards are needed for each leisure site planning.

• Journal of Korean Society of Rural Planning
• /
• v.24 no.4
• /
• pp.27-35
• /
• 2018

This study analyzed the factors influencing the choice of new farming type in order to prepare the countermeasures against structural changes of farm labor force. The analytical model was the multinomial logit model(MNL). The test for Independence and Irrelevance Alternatives(IIA) assumption in MNL shows that the IIA assumption in our data is rejected. Alternatively, we chose the multinomial probit model(MNP) that does not assume IIA. Data were obtained from 2010 census of Agriculture, Forestry and Fisheries of Statistics Korea. New farming types are succession(13.9%), return-to-farming(45.0%), part-time-farming(32.5%) and etc(8.6%). Analysis results showed that the characteristics of farms, commodity, management, and region influenced the choice of new farming type. This study is expected to help policy makers to produce support policies by new farming types in order to increase the number of new farmers and to make them easier to settle down in agriculture.

• Journal of Korean Society of Transportation
• /
• v.19 no.2
• /
• pp.73-73
• /
• 2001

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.32 no.3D
• /
• pp.275-281
• /
• 2012

The aim of this study is to suggest the development direction of future space management. It is not a simple question that why people visit specific place. People visit a place for escape from routine, to learn from other people, spend a time with their friends or lover, to take a rest and get some fresh idea, to relieve stress, and for shopping. It is depend on a various visit motivation with complicated a psychological phenomenon. Visitor participate in choice a specific place by various motivation and purpose. Generally, visitor motivation accepted understanding visitor behavior and process of selected a place. Understanding that why people visit specific place can use a marketing and policy making of visit place so we need to study about visitor motivation. Data were collected through offline surveys from 501 people who have visited four survey place. Empirically analyzed the determinations of visitor motivation and estimate the place by using Ordinal Logit Model.

• Journal of Korean Society of Transportation
• /
• v.24 no.6 s.92
• /
• pp.21-32
• /
• 2006

The purpose of this study is to determine the economical standard for road signs by verifying the difference in driver's legibility time with respect to the spacing of letters on the toad signs. Laboratory simulations were conducted to confirm the difference in legibility time for six target signs of different spacing. Also. a binary logit model was used to find the main factors, which could lower the rate if misreading. This model involves not only a simple enlargement of signs but also a suitable match of letters and signs along with the optimal spacing of the text letters on the road signs to increase the legibility of the sign. The result of this study verified the importance of spacing in road signs and Proved itself to be an effective method to determine the future standard for the road signs.

• Journal of Korean Society of Transportation
• /
• v.29 no.3
• /
• pp.7-19
• /
• 2011

Using 2006 metropolitan household travel survey data, this study analyzes trip behaviors based on a concept of trip chains using both trip purpose and number of trip linkages. For the analysis, trip chains are classified into two groups depending on including commute trips. Each group is further classified into a single linkage (i.e., Origin-Destination trips without any intermediate stop-by) and multiple linkages (Origin-Destination trip with at least one intermediate stop-by). The analysis is conducted using the two-step Nested Logit Model. Computational results identifying the characteristics of single and multiple linkages show that the young, male and office employee drivers tend to have more multiple linkages than single linkages in their trips. In contrast, it is shown that a driver whose monthly income is less than 3,000,000 Korean Won with a longer commute time more likely to make a trip chain with single linkages (p<0.0001).

• Journal of Global Scholars of Marketing Science
• /
• v.15 no.3
• /
• pp.149-168
• /
• 2005

The purpose of this paper is to study the impact of brand personality on the choice of tour site. For this purpose, Japanese, Chinese and Korean tourists visiting Jeju-Ireland were sampled and asked to evaluate the personality dimensions and attributes of six major tour sites in Asia. Factor analysis is applied to 42 personality scales of Aaker and 5 personality dimensions are extracted. Then, Multinomial Logit model is applied to estimate the relative impact of personality dimensions and attributes on the choice of tour sites. Results suggest useful implications. The personality of tour sites has meaningful influence on choice of tour sites, in some cases more important than tour site attributes. Among 5 dimensions of personality, sincerity and excitement are found to be important dimensions in the choice process of tour site. Sophistication of the site, expressed as glamorous, charming, handsomeness, uniqueness, and smooth, is also found to be important in determining intention to visit in the future.

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