• Title/Summary/Keyword: trip

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A Study on Forecasting Trip Distribution of Land Development Project Using Middle Zone Size And Gravity Model (중죤단위와 중력모형을 이용한 택지개발사업의 통행분포 예측방법에 관한 연구)

  • Jeong, Chang-Yong;Son, Ui-Yeong;Kim, Do-Gyeong
    • Journal of Korean Society of Transportation
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    • v.27 no.6
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    • pp.19-28
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    • 2009
  • In case of land development projects constructed, to solve induced transportation volume needs analysis of traffic demand. Trip-generation of land development projects is exactly predicted by using traffic instigating-basic-unit in each facility of land developments. But in case of a phase of trip-distribution, because a range of destinations is very enormous and it needs enormous data to reflect all of its characters, whenever trip-distribution is predicted, the method which assumes the rate of trip-distribution is same both before completion of land development projects and after is often used. But because there is no exact criterion, the method suggested above is also affected by subjective opinion. Accordingly, this study look over using trip-distribution of specific areas's DB and suggests a size of zone to predict a distribution of land development projects exactly. Also production - constrained gravity model which uses the gap between a distribution of suggested ranges and induced land development project is suggested for more exact prediction of trip-distribution. Besides accuracy of prediction is scrutinized by using Mean Squared Error.

The Effects of Field Trip Learning Program on Plant Inquiry in Coastal Dune using Artificial Intelligence on the Affective Domain of Gifted Elementary Science Studentt (인공지능을 활용한 해안사구 식물 탐구 프로그램이 초등 과학영재의 정의적 영역에 미치는 영향)

  • Byeon, Jung-Ho
    • Journal of Science Education
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    • v.46 no.1
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    • pp.53-65
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    • 2022
  • In the application and composition of learning content, the field trip learning of scientific inquiry could provide a positive effect. Also, it can arouse an experience of various inquiry activities through open thinking. In addition, it could take a positive effect by providing the diversity and specificity of wildlife experience for the living organism. The biology inquiry program of the field trip is a necessary process to acquire ecological experiences in the learning context. However, there is some problem to solve before the performance of field trip learning as professional knowledge of the outdoors inquiry. Therefore, this study developed a field trip inquiry program for the plant in a coastal dune using artificial intelligence to assist professional knowledge. The researcher carried out literature reviews and analysis related to studies and programs to investigate learning steps, content, and strategy. Also, this study investigated the effects of the program on the affective domain of gifted elementary science students. According to the results of this study, the program can provide a positive effect on motivation, task commitment, and attitude level. Consequently, the field trip learning program for plant in the coastal dune using artificial intelligence developed in this study can arouse a positive effect on the affective domain. Therefore, additional study is necessary related to inquiry programs of the field trip for various students and sites.