• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.33-42
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• 2011

The types of the accidents caused by intra-city buses and the changing tendencies of driving attitudes are analyzed before-and-after semi-public management system of intra-city bus system is implemented. On the basis of analysis, the measures on the decrease of traffic accidents are considered and the results are as follows. First, it showed that the traffic accidents decreased generally as a result of definition of the progresses of traffic accidents of intra-city buses before-and-after the system is implemented and with the passing of time after the system was operated. Second, the factors which influence the decrease of traffic offenses before-and-after semi-public management system of intra-city bus are the decease of violation, safe driving duty and the job security. Also the cause which mostly influence to the decrease of traffic accidents is defined. Finally, the measures of decrease of traffic accidents are arranged and proposed as a result of PROXSCAL method.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.45-70
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• 2012

There have been many methods and algorithms proposed for multidimensional scaling to mapping the relationships between data objects into low dimensional space. But traditional techniques, such as PROXSCAL or ALSCAL, were found not effective for visualizing the proximities between objects and the structure of clusters of large data sets have more than 50 objects. The CLUSCAL(CLUster-oriented SCALing) technique introduced in this paper differs from them especially in that it uses cluster structure of input data set. The CLUSCAL procedure was tested and evaluated on two data sets, one is 50 authors co-citation data and the other is 85 words co-occurrence data. The results can be regarded as promising the usefulness of CLUSCAL method especially in identifying clusters on MDS maps.

• Culinary science and hospitality research
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• v.23 no.2
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• pp.86-94
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• 2017

This study was conducted to derive a positioning map using multidimensional scaling method to understand how the brand image of national foods including Korean food, Chinese food, Japanese food, Thai food, and Vietnamese food is perceived by domestic and foreign tourists. In order to achieve the research purpose, this study collected 250 data through online and offline surveys for potential food tourists who are interested in visiting overseas. Except the unfaithful responses or missing values, 202 data were analyzed. As a result, first, 8 factors which are considered to be important by food tourists were extracted. Second, the result of similarity analysis using ALSCAL and PROXSCAL did not show that the foods of the five countries were very similar, but all countries seemed to be more likely to compete with each other. Third, attribute selection also indicates that mean value of food taste (3.88), national image (3.82), and sufficient food quantity (3.65) had high level of importance, respectively. These results may provide practical implications for development of branding strategy in food tourism.