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TRANSYT-7F Delay Model에 의한 교차로 서비스수준 분석 기준에 관한 연구
서채연,김재국,이상국,문권수 대한교통학회 1990 大韓交通學會誌 Vol.8 No.2
Six Levels of Service are defined for each type of facility for which analysis procedures as available. They are given letter designations, from A to F with Level of Service A representing the best operating conditions and Level of Service F the worst. Yet the appropriate criteria by vehicle delay model in our situations are not formed. Therefore, The objective of this study is to form the criterion of by average approach delay based on the criterion of V/C ratio. Level-of-Service criterion of this study by TRANSYT-7F Delay Model is as follows. A:${\leq}35.5$ sec, B:${\leq}41$ sec, C:${\leq}48$ sec, D:${\leq}56.5$ sec, E:${\leq}66.5$ sec, F:>66.5 sec.
徐採演(Seo Chae-Yeon),文權洙,成水鍊,朴濟辰 대한국토·도시계획학회 1999 國土計劃 Vol.34 No.3
In the tourism industry, it is expected to contribute to the development of tourist attractions. For the reason, it is necessary that the ways to improve the tourist facilities and tourist resources and to attractive tour group should be explored. The problems about the accessibility to the tourist attractions and expedience of tour group during sightseeing tour, are raised as the most important factors to attract tourists. This study sampled 8 main tourist attractions located around Mt. Mudung as subject. This study evaluated the property of the image of each subject, estimated mean value of final tourist destination with the classified items, and analyzed the preference of tourists through the individual behavior model by making use of data investigating the characteristics or preference of tour group on the basis of the way the tourists decide the sightseeing region. After the properties of the 8 sightseeing regions were compared with their individual property, the values of the properties reconstructed in terms of the highest value to evaluate the representative image of the tourist attractions. The factors to affect the decision of tourist attractions could be investigated by means of statistical analysis and thereby the variable used in modeling could be set. The established tourist attractions decision model could achieve compatibility and explain the touring behavior of tourist.