• Journal of Korean Elementary Science Education
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• v.24 no.4
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• pp.337-344
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• 2005

The purpose of this study is to analyze field trip activities in the elementary school science textbook developed under the 7th national curriculum. The results indicated there was an average of 4.25 field trip activities each semester presented in the textbook from the 3rd to 6th grade, mostly related to earth science and biology. The places for field trips were limited to in-school environment and natural sites in communities, and mostly purported to gain understanding of rudimentary concepts. Field trip activities were intended to facilitate science knowledge and understanding in order to integrate with the textbook content rather than offering students simple one-time activities. Most activities in the textbook guided students step by step. The starting or follow-up activities in the fields trips and reminder for cautions were not clearly presented. In order for the field trips to integrate with the content of the curriculum in the text book, they have to be presented in the textbook systematically. It is also imperative to find out various fold trip places related to the content in the curriculum, develop efficient activities dealing with science at the appropriate level for students and increasing interests in science and its teaming.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.185-194
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• 2008

When forecasting demand for a new road, a select link analysis is usually used to understand the OD pairs that send trips along paths that use the selected link (i.e., the new road). These OD pairs and their associated volumes are listed in a select link analysis. However, there is no research about other methods to obtain these results, so experts are almost always dependent on select link analysis results to obtain these results. The purpose of this study is to propose a model with a different approach from select link analysis to obtain the previously mentioned results. Time and spatial characteristics of networks are used in this new approach. Select link analysis results are used as a comparison index for the results by the proposed model. Also, two case studies (interzonal trips and intracity trips) are performed to validate the significance of the model. Consequently, a correlation coefficient between the results by the proposed model and the comparison index shows high significance: 0.82.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.605-612
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• 2019

Traditionally, travel demand forecasts have been conducted based on the data collected by a survey of individual travel behavior, and their limitations such as the accuracy of travel demand forecasts have been also raised. In recent, advancements in information and communication technologies are enabling new datasets in travel demand forecasting research. Such datasets include data from global positioning system (GPS) devices, data from mobile phone signalling, and data from call detail record (CDR), and they are used for reducing the errors in travel demand forecasts. Based on these background, the objective of this study is to assess the feasibility of CDR as a base data for travel demand forecasts. To perform this objective, CDR data collected for Daegu Metropolitan area for four days in April including weekdays and weekend days, 2017, were used. Based on these data, we analyzed the correlation between CDR and travel demand by travel survey data. The result showed that there exists the correlation and the correlation tends to be higher in discretionary trips such as non-home based business, non-home based shopping, and non-home based other trips.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.14-25
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• 2020

This research proposes a methodology to evaluate the rationality of passengers' route choice who make trips within Seoul metropolitan subway based on smart card data. The rationality of user route choice is divided into the degree of determinacy and similarity concepts as basic principle. Determinacy is the degree to which the route selected by the passenger is identical to the system optimal path. Similarity indicates the degree to which the route is similar to the system optimal path. The K-path search method is used for path enumeration, which allows for measurement of determinacy. To assess determinacy within similarity, transfer tag data of private operators is used. Consequently, the concept of similarity applied to the model is such that the passenger's path choice is identical to the path taken using the tag reader. Results show that the determinacy of appearance of the shortest path (K=1) is 90.4%, while the similarity of appearance as K=(2-10) is 7.9%, summing to 98.3%. This indicates that trips on the metropolitan subway network are being rationally explained. 1.7% of irrational trips are attributed to the unexplainable error term that occurs due to the diversity of passengers.

• Journal of the Korean earth science society
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• v.42 no.1
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• pp.88-101
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• 2021

The purpose of this study was to qualitatively examine the meaning of students' drawings in outdoor classes and modeling-based learning cycles. Ten students were observed in a gifted education center in Seoul. Under the theme of the Hantan River, three outdoor classes and three modeling activities were conducted. Data were collected to document all student activities during field trips and classroom modeling activities using simultaneous video and audio recording and observation notes made by the researcher and students. Please note it is unclear what this citation refers to. If it is the previous sentence it should be placed within that sentence's punctuation. Hatisaru (2020) Ddrawing typess were classified by modifying the representations in a learning context in geological field trips. We used deductive content analysis to describe the drawing characteristics, including students writing. The results suggest that students have symbolic images that consist of geologic concepts, visual images that describe topographical features, and affective images that express students' emotion domains. The characteristics were classified into explanation, generality, elaboration, evidence, coherence, and state-of-mind. The characteristics and drawing types are consecutive in the modeling-based learning cycle and reflect the students' positive attitude and cognitive scientific domain. Drawing is a useful tool for reflecting students' thoughts and opinions in both outdoor class and classroom modeling activities. This study provides implications for emphasizing the importance of drawing activities.

• Journal of The Korean Association For Science Education
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• v.26 no.3
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• pp.330-341
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• 2006

This study investigated whether science museum field trips over a duration of 7 months would effect student preference and awareness of science museums. 32 eighth and ninth graders were sampled from a middle school in Seoul and asked about their preference, awareness and the effect of the science museum visits both before and after a field trip. Findings showed a preference for science museums which dealt with themes and topics of student interest. After a field trip, student responded that science museums were information providers which yielded opportunity to explore forthcoming science feats, science in everyday life, developmental histories of science and technology, science-related news, social issues, and science rationale. Even though science museums in Korea leave much to be desired in terms of quantity and quality, field trips were positively received by students. This reception and its usefulness implied that expansion publizing and active use of formal/informal education relating to science museum facilities need to be top-priority business.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.32-48
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• 2023

Autonomous driving technology is shaping the future of personalized travel, encouraging personalized travel, and traffic impact could be influenced by individualized travel behavior during the transition of driving entity from human to machine. In order to evaluate traffic impact, it is necessary to estimate the total number of trips based on an understanding of individual travel characteristics. The Activity-based model(ABM), which allows for the reflection of individual travel characteristics, deals with all travel sequences of an individual. Understanding the relationship between travel and travel must be important for assessing traffic impact using ABM. However, the ABM has a limitation in the data hunger model. It is difficult to adjust in the actual demand forecasting. Therefore, we utilized a Tour-based model that can explain the relationship between travels based on household travel survey data instead. After that, vehicle registration and population data were used for correction. The result showed that, compared to the KTDB one, the traffic generation exhibited a 13% increase in total trips and approximately 9% reduction in working trips, valid within an acceptable margin of error. As a result, it can be used as a generation correction method based on Tour, which can reflect individual travel characteristics, prior to building an activity-based model to predict demand due to the introduction of autonomous vehicles in terms of road operation, which is the ultimate goal of this study.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.124-140
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• 2023

The rapid growth in shared E-scooters worldwide has led to many studies on the topic. The results of these studies are still in the early stages, and the main factors affecting trips are being identified. In particular, the development of trip-generation models is very important for transportation planning, and a new transportation mode for developing the models for shared E-scooters is lacking both domestically and internationally. This study aims to develop a trip generation model for shared E-scooters using significant variables by thoroughly reviewing previous studies. The trip characteristics of major service areas and other areas may differ owing to the trip characteristics of the mode. The trip generation models were developed based on the service trip density by dividing the areas by service level. The factors affecting shared E-scooter trips in major service areas included the presence of universities, closeness centrality, and cultural areas, while factors affecting the trips in minor service areas included the presence of universities, betweenness centrality, and trip distance. The developed models provide basic information that can be used to establish transport policies for introducing shared E-scooters in cities in the future.

• Proceedings of the ESK Conference
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• 1992.10a
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• pp.9-17
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• 1992

To study on the guideline for high altitude training, physiological changes are considered. The recommanded is to deeply understand for altitude physiology, not to exposure at high for elite athlete, to climb progressively and to train at 3000 .approx. 5300m. Steady altitude exposures should be limited to periods of 2 to 4 weeks. During the training, the intermittent sea level or extremely high trips should be scheduled. It is expected that this study would be contributed to sport trainer, athlete and climber.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.4
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• pp.688-693
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• 2009

The response characteristics of power system frequency are determined by generator droop characteristics and load damping properties. The characteristics of governor droops are termed by generators constant, while those of load damping by load constant. In this paper, the generator constant and the load constant are assessed by measured data at the event of generator trips.