• Proceedings of the Korean Society of Laser Processing Conference
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• 2004.10a
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• pp.78-81
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• 2004

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.79-90
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• 2004

In this study, we applied the Bayesian Networks for the case of the trip generation models using the Seoul metropolitan area's house trip survey Data. The household income was used for the independent variable for the explanation of household size and the number of cars in a household, and the relationships between the trip generation and the households' social characteristics were identified by the Bayesian Networks. Furthermore, trip generation's characteristics such as the household income, household size and the number of cars in a household were also used for explanatory variables and the trip generation model was developed. It was found that the Bayesian Networks were useful tool to overcome the problems which were in the traditional trip generation models. In particular the various transport policies could be evaluated in the very short time by the established relationships. It is expected that the Bayesian Networks will be utilized as the important tools for the analysis of trip patterns.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.91-100
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• 2010

To understand the trip patterns of subway passengers is very important to making plans for an efficient subway system. Accordingly, there have been studies on mining and classifying useful patterns from large smart card transaction databases of the Metropolitan Seoul subway system. In this paper, we define a new classification of subway trip patterns and devise a classification algorithm for eleven trip patterns of the subway users from smart card transaction databases which have been produced about ten million transactions daily. We have implemented the algorithm and then applied it to one-day transaction database to classify the trip patterns of subway passengers. We have focused on the analysis of significant patterns such as round-trip patterns, commuter patterns, and unexpected interesting patterns. The distribution of the number of passengers in each trip pattern is plotted by the get-on time and get-off time of subway transactions, which illustrates the characteristics of the significant patterns.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2001.10a
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• pp.66-70
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• 2001

The purpose of this paper is to investigate the characteristics of springback for the U-bending of steel sheets for automotive body panels. This study presents the experimental and analytical approach for the two kind of steel sheets, namely SCP1 and TRIP(Transformation-induced plasticity), the newly developed high strength steel. The adopted thicknesses are 0.8, 1.2 and 1.6 mm for SCP1, and 1.0 mm for TRIP. The punch profile radii are designed in 3, 6, 9, 12, and 15 mm. As results, the springgo aspect could be observed experimently in the small punch profile radius. The degree of springback for TRIP sheets was more than the SCP1 sheets.

• The Journal of Bigdata
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• v.5 no.2
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• pp.85-95
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• 2020

In this study, a mobility analysis method is suggested to estimate an O/D trip demand estimation using Mobile Phone Signaling Data. Using mobile data based on mobile base station location information, a trip chain database was established for each person and daily traffic patterns were analyzed. In addition, a new algorithm was developed to determine the traffic characteristics of their mobilities. To correct the ping pong handover problem of communication data itself, the methodology was developed and the criteria for stay time was set to distinguish pass by between stay within the influence area. The big-data based method is applied to analyze the mobility pattern in inter-regional trip and intra-regional trip in both of an urban area and a rural city. When comparing it with the results with traditional methods, it seems that the new methodology has a possibility to be applied to the national survey projects in the future.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.4
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• pp.540-552
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• 2011

Freight travel pattern has been less studied comparing with the field of passenger travel. Nonetheless, the importance of the freight travel has been increasing in urban travel sector, and the research needs on the freight travel demand hence is increasing. The current paper aims to identify, by tons of freight trucks and cargos, the characteristics of mean travel pattern, efficiency or performance, and the characteristics of freight trip chain regarding destination location, destination type and freight type. The study analyzed the nation-wide data of freight travel behavior survey. This study intended to set the starting framework of decision-making principle in freight travel, which has already been popular in passenger travel study. Findings suggest that those characteristics are clearly distinguished among trucks and cargos of different sizes of tons. The results are expected to provide important insight to the development of relevant transportation policy measures.

• Journal of the Korean Geographical Society
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• v.32 no.2
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• pp.217-228
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• 1997

A Study on individual Characteristics and Daily Activities of Housewives in the City of Kwangju. This study examines housewives' daily activities, focusing upon individual characteristics. The data used in this study are based on the fuestionaire survey, asking of personal trip for the weekdays and the weekend. Daily activities are classified into 7 categories and individual characteristics are revealed by age, occupation, a degree of education, number of family, and the residential environment. The results of this study are as follows: 1) The relations between daily activities and individual characteristics are influenced by housewife's occupation. Daily activities of housewives who have jobs are different from those who do not have jobs for a weekday as well as for a weekend. 2) Housewives' daily activities show very busy and vigorous on Saturday. 3) Housewives who are employed are willing to make mutipurpose trips on Saturday. 4) For a weekday, housewives' daily activities are inclined to make one cycle trip in a day, and the more trip cycles are, the more multipurpose trips are made. 5) The relationships between daily activities and individual characteristics show the pattern of WH, WLH, LHLH as it can be grouped.

• Journal of the Korean earth science society
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• v.34 no.2
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• pp.173-186
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• 2013

The purpose of the study was to investigate the change of students' conceptual structures about sedimentary rocks through the field trip. A semantic network analysis method was utilized to assess the change. An open-ended questionnaire was developed to assess high school students' knowledge of sedimentary rock including its definition, classification, formation process, and characteristics. Fifteen high school students participated in the field trip of this study. The text data were analyzed using the semantic network analysis method. Results are as follows. First, high school students' conceptual structures about sedimentary rocks were more expanded after the field trip. Second, students' conceptual structures formed a 'small world network' by combining the sub-clusters. Third, the size of students' conceptual structures was decreased after a few month of field trip. Nonetheless, the connection among the clusters remained the same.

• Journal of Welding and Joining
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• v.30 no.4
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• pp.14-18
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• 2012

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.507-517
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• 2018

This study is focused on analyzing the characteristics of repeat foreign tourists to Korea and suggest how to increase the repeat ratio. As the result of analysis, there were significant differences in the variables of sex, age, country in the case of demographic characteristics and in the variables of travel types, the number of company, the purpose of visit, accommodations, major visiting places and visiting areas in the case of travel characteristic. And also there were significant differences in the variables of accommodation fees per person and expenses per person in their own country in the case of travel expenses and in the variables of immigration formalities, public transportations, accommodations, foods, shopping, tourist attractions and security in the case of satisfaction. Lastly there were significant differences in the variables of revisit intention within 3 years, recommendation intention, the image of Korea(before trip) and the image of Korea(after trip) in the case of behavior intention after trip and image evaluation. Therefore it should be considered the characteristics of repeat foreign tourists when we make the tourism products to increase the repeat ratio.