• Journal of the Korean Society for Railway
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• v.19 no.5
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• pp.663-671
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• 2016

This paper investigates how to change passengers' preferences for express trains according to line extension in Seoul Metro Line 9. Before-and-after line extension, we traced passengers' path choices using Smart Card data via the method suggested by Kim et al. (2015). We developed two multinomial logit models before-and-after line extension. Transferability test showed that there is no difference between the two models. However, the load factor of the express train increased by 6.7% and the gap between the local and express trains became significantly wider.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4580-4587
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• 2014

This study provides an improved transportation mode choice models applicable to the Busan-Ulsan Metropolitan area by scrutinizing previous study results developed using the multinomial logit model. Although the previous model has an appropriate modeling structure in terms of the sign of coefficient estimates and goodness-of-fit, the model ignores the total number of trips and traffic congestion condition between the two zones and partially reflects zone-specific variables and choice set. Therefore, this study considered all of these modeling faults by re-constructing the representative utility functions. The modeling results show that travelers in Busan-Ulsan metropolitan area tend to choose their mode using mode-specific characteristics rather than the classical travel time and/or cost variables.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.955-963
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• 2014

According to the "Population and Housing Census of 2010", announced by the National Statistical Office, "House Nomad group" was increased by more than 70% compared to 2005. Emergence of House Nomad tribe about the cause of the increase of influence and House Nomad tribe give the housing market, but prior to the discussion often, there is no place that still it became clearly evident in the research. The purpose of this study, are looking for the emergence and increasing cause of House Nomad group in terms of consumption behavior of the house. For this reason, We use the Population and Housing Census 1% of the data 2010. and Multinomial Logit Models., is a useful method that can be utilized when there is no rank and order the consumer choice. The results were as follows. House Nomad group was found to be higher probability of living place and good environmental characteristics of housing that has been expressed in the properties of the housing. Also appeared to have a relatively longer time commuting. And that residential mobility is high.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.101-115
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• 2008

This study reports UTIS(Urban Traffic Information System), which has been generalized in developed countries through brisk research and development and is being promoted for introduction by National Police Agency and Road Traffic Authority to reduce the astronomical amount of social expenses including traffic congestion expenses. Also this study investigates the proper charges for using by the preestimate of demand and contentment according to methods of payment after the service is introduced. The results of this study are as follows. First, demand forecast model is constructed by Binary Logit Model. Second, forecast models of using aspects of UTIS service according to methods of payment are established by Ordered Probit Model. Third, the proper charges for using of UTIS service according to methods of payment are presented to the supplier in the aspects of users. For this, preferences by using aspects and methods of payment are captured. And unit elasticity of coefficient of utilization is understood through responsiveness analysis according to methods of payment.

• KDI Journal of Economic Policy
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• v.29 no.1
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• pp.41-78
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• 2007

Due to the concern of regional unbalance relating to healthcare resources, the government has set up a plan to expand public healthcare services and a policy to manage the supply of hospital beds. However, it is not clear what standards are needed to measure the degree of unbalance, and to what extent the gap needs to be narrowed. Unlike the previous methodology comparing the proportions of patients who move out from their administrative district to receive medical services, this study examines the inconvenience gap patients experience when they have to move out from their actual living area. The logit and multinomial logit models are employed. The regional unbalance decreases when the degree of movement is measured based on the living area. This result implies that essential standard for achieving regional balance relating to medical services need to be based not on the even distribution of medical resources, but the complications of regional people that require proper medical services.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4328-4336
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• 2011

The aim of this study is to find changes of the attributes that influence the purchase of cut roses during recent five years(2007~2011) and suggest some implications on ways to promote cut roses marketing. For this purpose, a survey was conducted through the Internet among 1,100 randomly chosen people living in Seoul, Inchon and Gyeonggi Province in 2011. A total of 1,023 valid replies were received for the analysis of the survey which was carried out by the subsidiary consulting firm. The survey panels and estimation models to analyze changes of consumers' preference attributes during recent five years are same to them of Kim, et al.(2007). That is, empirical analysis tools such as ordered probit model, multinomial logit model, and conjoint analysis were used according to Kim, et al.(2007). This paper suggests several policy implications to set up the target market of cut roses and marketing mix strategy to specify the best 4P(product, price, place and promotion).

• Journal of Internet Computing and Services
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• v.7 no.1
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• pp.75-89
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• 2006

This paper is concerned with analysing the bankruptcy prediction power of three models: Multivariate Discriminant Analysis(MDA), Logit Analysis, Neural Network. The research targeted the bankrupted companies after the foreign exchange crisis in 1997 to differentiate from previous research efforts, and all participating companies were randomly selected from the KSE listed companies belonging to manufacturing industry to improve prediction accuracy and validity of the model. In order to assure meaningful bankruptcy prediction, training data and testing data were not extracted within the corresponding period. The result is that prediction accuracy of neural networks is more excellent than that of logit analysis and MDA model when considering that execution of testing data was followed by execution of training data.

• 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 the Korea Academia-Industrial cooperation Society
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• v.12 no.4
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• pp.1637-1645
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• 2011

This study explores the plausible socio-economic variables that influence joint choice of tenure and dwelling type in Cheonan. For estimating these joint choice models, multinomial logit framework is employed. Following the practice of other studies, we chose the age of householder, education level of householder, occupation of householder, residence duration in Cheonan, experience of capital area residence, plan of capital area move and the monthly income of household as socio-economic variables, and size of house, access of subway area, residence area as house characteristics. According to the estimation result, we can derive som implications. For example, the higher monthly income of household, more member of student, bigger size of house, longer residence duration of Cheonan, the more they prefer owing house apartment to renting it. In addition, as householders are older, size of house is bigger, they prefer owing-non apartment to owing house-apartment.

• Environmental and Resource Economics Review
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• v.27 no.4
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• pp.695-723
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• 2018

Recently, extreme weather due to climate change has become more frequent, and increase of fine dust has worsen air quality in Korea. Therefore, not only negative perception on coal-fired power generation is dominant, but also the social acceptance of nuclear power generation declines. This study aims at deriving consumer preferences on the mid and long term power mix with various energy sources. Willingness to pay for each generation source was estimated and the preference heterogeneity of consumers was examined by using mixed logit and latent class models. Mixed logit estimation results show that the preference heterogeneity of consumers is especially large for the nuclear power relative to renewable or coal energy. According to the estimation results from the latent class model, group 1 prefers renewable energy while group 2 prefers coal energy. Group 3 shows lexicographic preference which means restricted rationality. As for the policy implication, it is necessary to understand the preference heterogeneity of consumer groups in planning the mid to long term power mix.