• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5052-5059
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• 2012

This study was carried out to find consumers' attributes and willingness to pay(WTP) of agricultural products cultivated from plants factory system. The agricultural products were sorted into lettuce, strawberry, Ligularia fischeri(wild edible greens), and ginseng. We made the questionaires to survey consumers' purchasing attributes and preference of agricultural products. Finally, 200 valid replies were selected to analyze consumers' attributes and to estimate marginal willingness to pay. We used conjoint analysis and multinomial logit model for empirical analysis. MWTPs of commodities are estimated as follows; Lettuce is 1,016KW(100g), Strawberry is 6,014KW(2kg), Ligularia fischeri is 3,652KW(100g), and Ginseng is 5,905KW(100g). Several attributes of consumers' purchasing behavior were identified from this study. We suggested several implications to formulate more appropriate policy of plants factory system.

• Journal of Korean Society of Transportation
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• v.30 no.3
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• pp.107-118
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• 2012

The purpose of the study is to analyze the travel characteristics of freight trucks in metropolitan areas, focusing on activity generation, destination choice, and trip chaining behaviors. The results showed that the number of service companies at departure areas has a primary influence on the activity generation pattern and destination choice behavior of trucks in metropolitan areas. The number of trips within a trip chain is largest, in case where the prevailing industry in destination areas is wholesale or retail and the shipment item is food or beverage. These results imply that for the reasonable estimation of truck travel demand both the trip chaining behaviors and the industrial compositions in departure and destination areas should be separately considered for each type of commodity.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.1
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• pp.83-87
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• 2012

This study is aimed to identify latent classes which are based the change patterns in assistive technology device use among worker with disabilities and to test the effects of independent variables(gender, education, disability type, disability density, activity and participation of ICF: ICF, subjective socioeconomic status: SES, job satisfaction, life satisfaction) on determining latents classes. This study applied Nagin's(1999) semi-parametric group based approach to the panel survey of employment for the disabled. Because dependant variable has dichotomous scale, logit model was used. The results identified three latent classes, which could be defined based on the patterns as follows; assistive device continued use group, assistive device mid-level use group, assistive device sharp decline use group. The effects of the independent variables on the latent classes was tested by multinomial logit analysis. The results showed that education, disability type, ICF, SES, and life satisfaction were significant determinants of the latent classes. Finally, the implications based on analysis results were suggested.

• Land and Housing Review
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• v.13 no.4
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• pp.13-26
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• 2022

This study analyzes housing choice determinants of the youth and newlyweds households by using housing survey data in Incheon. A multinomial logit model is employed for analysis with the following variables: housing characteristics, housing market characteristics, and residential and neighborhood environment characteristics. The findings from the analysis are as follows. First, for the continued residence of the youth, the important factors were the relief assistance of housing maintenance costs. For the newlyweds, the important factors were the quality improvement of residential environments to ensure residential stability. Second, the housing choice factors to attract the youth were residential support for rent, maintenance costs, and relocation, and the improvements of residential environments such as security, noise levels, and medical facilities. For the newlyweds, the important factors were housing loan assistance for a home purchase or a cheonsei deposit and residential quality improvements for air pollution and parking facilities. Third, the youth were likely to move out due to high rental costs, and the newlyweds were likely to move out for the purchase of a new apartment or higher-quality housing.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.565-571
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• 2006

This study aimed to analyze access mode choice behavior for KTX Passengers. To fulfill the aims of this study, Dong-Daegu Station was selected as a station for a case study. This study takes place in two stages. These are (i) descriptive statistical analysis of transportation status before and after introduction of the KTX, (ii) empirical model estimation for analyzing access mode choice behavior. This study makes use of the data from travel survey from Daegu metropolitan area. The main part of the survey was carried out in the KTX Dong-Daegu station. The data was collected from a sample of 1,800 individuals. The survey data includes the information on travel from Dong-Daegu station to Seoul. From descriptive statistical analysis of transportation status before and after introduction of the KTX, it is found that revealed demand of the KTX is lower than that expected. Moreover, it is found that the low demand of the KTX stems from high cost for the KTX itself and inconvenience( including travel time and cost) of access mode. In order to analyze mode choice behavior for accessing Dong-Daegu station, multinomial logit model structure is used. For the model specification, a variety of behavioral assumptions about the factors which affect the access mode choice, were considered. From the empirical model estimation, it si found that access travel time and access travel cost are significant in choosing access mode. Given the empirical evidence, we see that improvement of access transportation system for Dong-Daegu station is very important for enhancing the use of KTX.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.183-192
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• 2016

The purpose of this study is to analyze the choice behavior of the mode of transportation for travel from Korea to China. Discrete choice analysis is utilized to establish the factors that affect travelers' choice and to quantify the importance of these factors in transportation mode choices. The proposed choice models were constructed by using stated-preference (SP) data obtained from Chungcheongnam-do. This study also examined different choice behavior in order to capture any previously unobserved differences in the residence area. Results showed that the access time and frequency attributes are the most significant factors, while the travel time attributes are the least significant factors for travelers' choice behaviour. The insights of the results described in this research provide some practical suggestions to transportation providers for planning and strategic management endeavors in the future.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.253-259
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• 2013

Investment scenarios in the transportation network design problem usually contain installation or expansion of multi-mode transportation links. When one applies the mode choice analysis and traffic assignment sequentially for each investment scenario, it is possible that the travel impedance used in the mode choice analysis is different from the user equilibrium cost of the traffic assignment step. Therefore, to estimate the travel impedance and mode choice accurately, one needs to develop a combined model for the mode choice and traffic assignment. In this paper, we derive the inverse demand and the excess demand functions for the multi-mode multinomial logit mode choice function and develop a combined model for the multi-mode variable demand traffic assignment problem. Using data from the regional O/D and network data provided by the KTDB, we compared the performance of the partial linearization algorithm with the Frank-Wolfe algorithm applied to the excess demand model and with the sequential heuristic procedures.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.403-412
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• 2019

There has been a lively debate between self-employed and wage workers on the speed of minimum wage hikes. Minimum wage is a redistributive policy that evokes confrontation and conflict whereby individuals' views on the policy coincide with their material self-interest. With this in mind, the researcher analyzed whether an individual's labor market status was explanatory to his/her view on the speed of minimum wage hike. Moreover, in light of the likelihood that the varying degree to which self-employed can afford minimum wage hike affects their differential preferences for the policy, the researcher attempted to identify whether there was a moderation effect of income class on the relationship. In the actual analysis, the researcher investigated employment policy survey dataset using a multinomial logit model. The results suggest that, among self-employed, 'gradual increase' and 'rapid increase' of minimum wages are less preferred $vis-{\grave{a}}-vis$ 'minimal increase,' which is the reference. As to the moderation effect, when a self-employed has a middle-income class status, his/her negative preference for the policy is likely to be attenuated. One implication of this study is that subsidizing self-employed small business owners, who are most dissatisfied with the current speed at which minimum wages rise, would be an effective prescription on reducing social conflicts.

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.19-32
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• 2001

A parking facility choice model. which can be applied to analyze of the driver's parking behavioral changes in response to the local government's parking policy changes and to predict parking demand by the facility types, is developed. Under the context of the stated preference discrete choice model, socioeconomic variables and parking alternative characteristic variables are introduced as explanatory variables. A parking facility choice model for the shopping trip purpose is derived using multinomial logit model and nested logit model and the stated preference data collected in Taegu metropolitan area. The result shows that the sign of all the estimated parameters are logically consistent and the model's goodness of fit is reasonably good. As a result of the elasticity analysis of the model, the elasticity of parking cost is highest, and the elasticity of walking distance between parking place and the destination is higher than parking place searching and ingress time. This means that the parking places are supplied around the destination in the form of small-size parking place. The findings in this study is expected to provide a fundamental data for various short-term parking policy analyses and for parking facility's demand estimations.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.13-25
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• 2011

This study investigates the factors influencing consumer's channel selection for luxury fashion items, specifically the effect of (i) perceived luxury benefits, (ii) perceived online shopping risks, (iii) demographics, and (iv) purchasing behavior. A survey questionnaire was developed and implemented to measure the perceived luxury benefits, perceived online shopping risks, purchasing behaviors, and consumer demographics. A total of 396 responses were analyzed by one-way ANOVA, cross-tab, and multinomial logit analysis with SPSS18.0. The results are as follows. First, those who shop in offline shopping channels tend to be heavy buyers that look for product quality and conspicuousness. They perceive low risks from online shopping and purchase few bag items offline. Second, those who shop online tend to be men and perceive the high benefits of economic value. Third, those who shop in multi channels tend to be men, search for information via the Internet, and purchase few accessory items. Implications for multichannel strategies are suggested.