• IE interfaces
• /
• v.15 no.4
• /
• pp.474-482
• /
• 2002

In this paper, we propose a parametric optimization approach to simultaneously determining trip distribution, mode choice, and user-equilibrium assignment. In our model, mode choice decisions are based on a binomial logit model and passenger and cargo demands are divided into appropriate mode according to the user equilibrium minimum travel time. Underlying network consists of road and rail networks combined and mode choice available is auto, bus, truck, passenger rail, and cargo rail. We provide an equivalent convex optimization problem formulation and efficient algorithm for solving this problem. The proposed algorithm was applied to a large scale network examples derived from the National Intermodal Transportation Plan (2000-2019).

• Journal of Korean Institute of Industrial Engineers
• /
• v.36 no.2
• /
• pp.87-93
• /
• 2010

The partial least squares (PLS) method is popularly used for estimating the structural equation model, but the existing algorithm may not be directly implemented when probabilities are involved in some constructs or manifest variables. We propose a structural equation model including the brand choice as one construct having brand choice probabilities as its manifest variables. Then, we develop a PLS-based algorithm for the structural equation model by utilizing the multinomial logit model. A case is introduced as an application and simulation studies are performed to validate the proposed algorithm.

• Journal of the Korean housing association
• /
• v.26 no.5
• /
• pp.133-141
• /
• 2015

As an empirical study on Daegu Downtown showing decentralization phenomenon, the purpose of this study is, based on the residential satisfaction research targeting the Downtown residents, to analyze the residential environment satisfaction and residential preference. Considering the parameters of measurement, we used the Ordered Logit Model and Logistic Regression. The results are as follows: First, the comprehensive residential environment satisfaction is relatively lower than that in 2008 and the residential preference in Downtown is similar to that of the past. Second, among the 7 factors that constitute the Downtown residential environment, the house, the landscape, and the security have a relatively large influence on the comprehensive residential environment satisfaction. Third, the residential environment factors which affect those who are hoping continuous Downtown residence are the safety, the house and the complex.

• Journal of the Korean housing association
• /
• v.19 no.6
• /
• pp.73-83
• /
• 2008

We explore what factors influence the residential choice and mobility of people, and try to figure out the preferable residential district in Deagu. Household, housing characteristics, and neighborhood environments are considered as explanatory variables to predict the residential choice and the preferable residential district, and logit regression is used for the analysis. We found age, ownership, income, property, and education level as household characteristics, building age as housing characteristics, and accessibility to park and open space, public library and shopping mall as neighborhood environments are significant in determining residential choice of people whereas housing size, accessibility to elementary school, local market, cultural facility and gymnasium are not significant. These results imply people choose the residential district according to household characteristics as they did, as well as choose according to housing characteristics and neighborhood environments which are newly issued factors.

• Journal of Korean Institute of Industrial Engineers
• /
• v.27 no.2
• /
• pp.176-180
• /
• 2001

In Korea, the mobile telecommunication service market is expanding rapidly and becoming more competitive. For service providers in such a dynamic environment, it is very important to accurately forecast demand including market potential in order to work out marketing strategies. In this paper, we suggest a general approach to forecast the market potential using a multinomial logit model, which is applied to individual-level market survey data. Then we develop a dynamic market potential model that can adapt to changes in the external environment without requiring further market survey. The proposed model is applied to the mobile telecommunication service market in Korea.

• 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 Korean Society of Transportation
• /
• v.30 no.1
• /
• pp.7-18
• /
• 2012

This study suggested a method of forecasting market-share of each mode after introducing new urban rail transit lines. The study reflected the observed market share of presently operating urban rail transit into forecasting process in order to improve accuracy in predicting market share of each modes. For more realistic representation of the forecasting model, we categorized O/D pairs according to attributes of trip distance, access time and number of transfers. The analysis results of traveler's mode choice behavior with observed data showed that the trip distances are longer, the share of urban rail tends to be higher, and that the number of transfers is fewer and the access times are lesser, the share of urban rail also tends to be higher. Then, incremental logit model was used in estimating mode choice probabilities for O/D pairs along with rail transit lines while utilizing observed market shares of each modes and differences in transit service level. As the next step, the market share of rail transit after introducing new rail transit lines was forecasted by using incremental logit model with the intial share values calculated the previous analysis step. It also reflected changes in level of service for automobile in highway due to changes in highway systems and changes in mode shares after introducing new lines of rail transit. It can be expected that the proposed method would more realistically duplicates phenomena of mode choice behavior for rail transit and that it would be more theoretically logical than the typical existing methods using SP data and incremental logit model or using addictive logit model in this country.

• Journal of Distribution Research
• /
• v.14 no.1
• /
• pp.45-65
• /
• 2009

As a number of people using the internet for their shopping steadily rises, it is increasingly important for retailers to understand why consumers decide to buy products via online or offline. The main purpose of this study is to develop and test a model that enhance our understanding of how consumers respond future online and offline channels for their purchasing. Rather than merely adopting statistical models like most other studies in this field, the present study develops a model that combines double-cohort method with multinomial logit model. It is desirable if one can adopt an overall encompassing criterion in the study of consumer behaviors form diverse sales channels. This study uses the concept of cohort or aging to enable this comparison. It enables us to analyze how consumers respond to online and offline channels as people aged by measuring their shopping behavior for an online and offline retailers and their subsequent purchase intentions. Based on some empirical findings, this study concludes with policy implications and some necessary fields of future studies desirable.

• Journal of Korean Society of Transportation
• /
• v.28 no.6
• /
• pp.133-146
• /
• 2010

The objective of this study is to develop a supply chain-based freight distribution channel choice model considering shippers' logistics behaviors which will be used for freight demand estimation. For this purpose, this study utilized the distribution channel data of the petrochemical and automobile industries collected by KTDB center. The distribution channel choice models for these industries were developed by including transport mode, time, cost, and shipment size. It was found that the multinomial logit model with transport cost, time and shipment size is the best, and as shipment increases, bigger transport mode is preferred. Generally direct distribution channel with small truck was preferred over the one using distribution center and/or big truck.

• Environmental and Resource Economics Review
• /
• v.16 no.3
• /
• pp.427-449
• /
• 2007

This study estimates the recreation benefits of rafting on the Hantan River. A choice experiment is conducted and the economic values of controlling water stream and water quality are estimated. Both the conditional logit and the multinomial pro bit models are estimated. This study rejects the IIA assumption of the conditional log it model and supports using a more flexible model such as the multinomial probit model.