• Proceedings of the KSR Conference
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• 1998.05a
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• pp.203-210
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• 1998

Rail transport has grown over the Past decades, and rail networks have highly concentrated in urban area, and it is possible for rail passengers to choose a route anions a number of alternative routes. Analysis of factors influencing the choice of route, are required to estimate the rail travel demand of each route. In this paper, we describes route choice model for the transit assignment and characteristics of the route choice(i.e., by relative travel time and fares), and attempts to estimate travel demand of new rail transit based on the slated preference(SP) survey data of Nanko Porttown, which is located in Osaka, Japan.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.3
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• pp.65-77
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• 1993

It is not to observe that a decision-maker frequently changes his choice strategy in the repetitive gamble choice situation. This change in risk preference attitude, however, is not well explained with the existing gamble choice models, such as Bell's disappointment-elation model which is an interesting extension of the classical MEU model. This paper shows that this change in risk preference attitude should be interpreted as a systematic transition of "d" and "e", the disappointment and elation constants of Bell's model repectively. A laboratory experiment is also performed to identify the factors which greatly affect the decision-makers' risk preference attitude change. The number of consecutive successes/failures and the amount of remaining capital found to be statistically significant factors.significant factors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1992.04b
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• pp.282-292
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• 1992

It is not rare to observe that a decision-maker frequently changes his choice strategy in the repetitive gamble choice situation. This change in risk preference attitude, however, is not well explained with the existing gamble choice models, such as Bell's disappointment-elation model which is an interesting extension of the classical MEU model. The paper shows that this change in risk preference attitude should be interpreted as a systematic transition of "d" and "e", the disappointment and elation constants of Bell's model. A laboratory experiment is also performed to identify the factors which greatly affect the decision-makers' risk preference attitude change. The number of consecutive successes/failures and the amount of remaining capital found to be statistically significant factors.significant factors.

• International Journal of Railway
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• v.7 no.1
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• pp.24-33
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• 2014

The Korean high-speed rail (HSR) began its commercial service in 2004. This service has been created significant changes in the system of intercity passenger travels of Korea. However, the actual ridership was approximately half of the estimated one in the planning stage. In this background, this paper presents the difference between the stated preference (SP) before the HSR service and the revealed preference (RP) after it using the intercity travel mode choice models. Several meaningful differences are found in terms of the factors affecting the travel mode choice, the estimation results of model, the monetary values of time, and elasticities. While the access/egress travel time of high-speed rail is less important than in-vehicle travel time in the SP sample, they have same weight in the RP sample. Also the RP models show that the probability of choosing HSR can be decreased by the increase of the number of vehicles in household contrary to the results from the SP models. The monetary values of travel time are relatively high and the direct and cross elasticities in response to changes in level-of-service of HSR are relatively low in the RP sample. This Korean case is expected to offer referable material for preparing high-speed rail services in other countries by showing the difference between the SP and RP before/after the actual service, identifying the importance of access/egress travel time and lower direct elasticities of HSR demand.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.99-107
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• 2010

Analyzing mode choice among transportation demand estimate procedures is complicated and understanding characteristics of travelers is also difficult. Generally, it is well known that traveler choose mode considering psychometric factors and characteristic besides socio-demographic indicators. Accordingly, many researches has investigated on methodology that can be applied in mode choice to reflect psychometric factor or specific preference. Latent Class Analysis among various studies is recognized as the theoretically potential approach. This study focuses on class segmented using latent class cluster to analyze impact that included psychometric factors and characteristics on mode choice. It also provides evidence that mode choice model for each class and mode choice model not considering latent class are different. This study based on citizen's stated preference and revealed preference on a new transit on the Han river shows that latent class cluster analysis is the potential approach considering latent preference.

• Journal of Korea Port Economic Association
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• v.20 no.2
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• pp.151-167
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• 2004

Traditional traffic forecast has employed regression analysis or time-series analysis based on past trends of explanatory variables. However, not existing but planned port facilities do not have historical data for traffic estimation. Consequently, arbitrary traffic allocation has been subject to researcher's intuition. In this paper, container throughput at New Incheon Outer-South Port will be estimated using stated preference(SP) and sample enumeration methodology on the basis of survey data about the choice behaviors of port users in a theoretical situation. In the SP survey, shippers, freight forwarders and carriers were required to answer a choice between two alternative ports: Busan and Incheon. Although total 27 scenarios of questionnaires were constructed with 3 levels of 3 explanatory variables, each interviewee was asked to answer for just 9 scenarios chosen at random. A binary choice logit model was applied to the survey data. The elasticity of travel time is estimated to be very high, implying that building New Incheon Outer-South Port could be effective in relieving the congestion of the Kyungin corridor. The analysis result shows that increasing service level at Incheon Port would bring in the substantial diversion of container cargo in the Capital region to Incheon Port from Busan Port.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.49-65
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• 2023

In response to the growing global concern for the environment, the international community has recently committed to achieving 'carbon neutrality.' As a result, numerous studies have been conducted on mode choice models that include carbon emissions as a variable. However, few studies have established a correlation between individual preferences and carbon emissions. In this study, a new mode of transportation named sustainable public transit (SPT), incorporating carbon-reducing transport options like electric scooters, is proposed. Analyzing the individual preferences of commuters on carbon emissions through factor analysis, a stated preference (SP) survey was conducted. A mode choice model for SPT was constructed using multinomial logit models. The results of the analysis showed that gender, income, and specific preferences, such as a passion for exploring new routes, a preference for intermodal transfers, knowledge of carbon reduction, and carbon reduction practices, significantly influence latent preferences for SPT. Therefore, this study is significant as it considers carbon emissions as an attribute variable during the construction of mode choice models and reflects the individual preference variables associated with carbon reduction.

• Journal of applied mathematics & informatics
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• v.42 no.2
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• pp.257-281
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• 2024

In real life, a decision-maker can assign multiple values for pairwise comparison with a certain confidence level. Studies incorporating multi-choice parameters in multi-criteria decision-making methods are lacking in the literature. So, In this work, an extension of the Best-Worst Method (BWM) with multi-choice pairwise comparisons and multi-choice confidence parameters has been proposed. This work incorporates an extension to the original BWM with multi-choice uncertainty and confidence level. The BWM presumes the Decision-Maker to be fully confident about preference criteria vectors best to others & others to worst. In the proposed work, we consider uncertainty by giving decision-makers freedom to have multiple choices for preference comparison and having a corresponding confidence degree for each choice. This adds one more parameter corresponding to the degree of confidence of each choice to the already existing MCDM, i.e. multi-choice BWM and yields acceptable results similar to other studies. Also, the consistency ratio remained low within the acceptable range. Two real-life case studies are presented to validate our study on proposed models.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8853-8860
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• 2015

This study is to identify recognition of and preference for toy breeds between young and older generations by investigating their understating on pet dogs, difference in pet preference and reasons behind their choice of dog breeds, recognition and preference by toy breeds. A survey was conducted among 137 youths and 60 elderlies in medium/large cities and rural areas. Collected data was processed with ${\chi}^2$-test to see statistical significance. The result showed a significance of p<0.01 in recognition of pet/companion animals and toy breeds, and in pet dog preference and reasons of dog choice, along with p<0.05 in recognition and preference by toy breeds. Thus, this research to provide basic information requires to widely understand characteristics of toy breeds throughout generations due to widespread preference for such breeds and to continue research on change factors in their level of recognition and preference for the right choice when he/she decides to raise a toy dog.

• Korean Journal of Organic Agriculture
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• v.17 no.2
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• pp.135-150
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• 2009

This paper was to use choice experiments in the analysis of consumer choice behavior and preferences for five different attributes(the origin of rice, a quality certificate, a quality control, a traceability system, the price of rice) in Cheongju City. Completed surveys yielded 712 responses which were analyzed using the conditional logit model to analyze the marginal willingness to pay of the four attributes(the origin of rice, a quality certificate, a quality control and a traceability system) per household and estimated the marginal willingness to pay of the set of feasible options. The result of this study can be used as a guide for the rice industry in the design of possible labeling schemes.