• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.389-400
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• 2014

This study finds a way to increase the usability of a subway commuter pass. Usability of the commuter pass on a probabilistic statistical model is calculated when the pass is allowed to used in a different mode(bus). A sunk cost of commuter pass is used to reduce the vehicle travels from public transit. 324 people aged 25 to 35 were surveyed and utilized to build a Nested Logit Model on STRADA 3.5 platform. Main results are as follows. First, commuter passes were issued in various forms. Second, the model turns out to be statistically significant in four explanatory variables (discount rate, inter-usablity between modes, forms of payment and periods). Lastly, the more valid on different modes, the more increased of the rail commuter pass.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.4
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• pp.96-111
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• 1997

This study was carried out to identify users' choice behavior of theme parks. overland. Lotte World, Seoul Land, Dreamland and Children's Grand Park were selected as study areas. Both multinomial logic model(MNL), nested logic model(NMNL) and joint logit model wet$.$e test using a choice-based sample collected on study areas. Hausman-McFadden test showed that the MNL is not appropriate because the IIA assumption is violated. To avoid the problematic IIA assumption, the NMNL was tested. It splits similar alternatives into groups and nests separate decisions into hierarchical order to avoid the IIA assumption. Cluster analysis and discriminant analysis were conducted to find applicable nest structures. The inclusive value coefficient was 0.7788. It meant that sufficient condition of this model is met and users' choice behavior can be better understood by NMNL than MNL. The $\rho$2 value and accuracy of prediction of this model were 0.402 and 46.33% , respectively. Several comments were suggested to make the NMNL to be more reliable for future research on users' choice behavior of theme park.

• 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.

• 한국데이터정보과학회:학술대회논문집
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• 2004.04a
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• pp.121-126
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• 2004

This paper discusses about how to build up a mixed-effects model using cumulative logits when there are some factors are fixed and others are random. Random factors are assumed to be coming from a two-way nested design for choosing individuals or experimental units to apply treatments. Estimation procedure for the unknown parameters in a suggested model is also discussed by an illustrated example.

• Journal of the Korean Data and Information Science Society
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• v.17 no.1
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• pp.187-193
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• 2006

This paper shows how to use continuation-ratio logits for the analysis of structured polytomous data. Here, response categories are considered to have a nested binary structure. Thus, conditionally nested binary random variables can be defined in each step. Two types of factors are considered as independent variables affecting response probabilities. For the purpose of analyzing categorical data with binary nested strutures a continuation-ratio mixed model is suggested. Estimation procedure for the unknown parameters in a suggested model is also discussed in detail by an example.

• Journal of Korean Society of Transportation
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• v.33 no.5
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• pp.461-469
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• 2015

The next generation high-speed train, HEMU-430X, was developed and is now being tested. However, the existing mode choice models based on the guidelines for feasibility studies do not consider a high-speed train with a higher speed than KTX. This limitation might result in inaccurate demand forecasting. In this research, a stated preference survey was conducted in order to supplement the problem by considering the characteristics of HEMU-430X. Based on the survey results, this research developed two mode choice models, including a multinomial logit model and a nested logit model. For this purpose, the utility functions of travel time and travel costs were estimated using a Limdep 8.0 NLOGIT 3.0 package. After comparing the two models, it was concluded that the nested logit model is appropriate. The paper suggested a plan to implement the nested logit model and presented a policy implication.

• Environmental and Resource Economics Review
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• v.14 no.1
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• pp.51-73
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• 2005

The purpose of this study is estimating the value of recreation of the eighteen national parks in Korea. A conditional logit model and a nested logit model have been estimated for the purpose. The data used for the study have been collected via a national level off-site survey. In addition, the annual aggregate data on the number of visitors to each park have been combined with the survey data to derive more reliable estimates. The paper finds that there are substantial differences in preferences for mountain and marine national parks. Not only the value of each park but also the values of the main characteristics of the parks are estimated.

• Journal of the Korean Data and Information Science Society
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• v.15 no.2
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• pp.379-386
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• 2004

This paper deals with a mixed logit model for vaccination data. The effect of a newly developed vaccine for a certain chicken disease can be evaluated by a noninfection rate after injecting chicken with the disease vaccine. But there are a lot of factors that might affect the noninfecton rate. Some of these are fixed and others are random. Random factors are sometimes coming from the sampling scheme for choosing experimental units. This paper suggests a mixed model when some fixed factors need to have different experimental sizes by an experimental design and illustrates how to estimate parameters in a suggested model.

• Journal of Korean Society of Transportation
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• v.29 no.3
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• pp.7-19
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• 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 Korean Society of Transportation
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• v.15 no.4
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• pp.35-51
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• 1997

The main objective of this research is to develop urban workers' daily travel pattern choice model. For this research, a hovel pattern choice model was empirically estimated by using a survey data collected from Kyongsan and Yeungchun City. For this research, a nested logit model structure was employed. For the model specification, it is hypothesized that urban workers' daily travel pattern choice behavior is represented by two stages of choices with single-destination or multi destination travel pattern choice as the higher stage, and the number of tours as the lower stage. The urban workers' daily travel pattern choice model developed in this research yields intuitively reasonable results. From the empirical results, it is found to be sensible to represent urban workers' daily travel patterns as the nested logit model structure Hypothesized in this research. furthermore, future directions of model development are suggested.