• Journal of the Korean Society for Railway
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• v.11 no.4
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• pp.417-423
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• 2008

Transportation planners are increasingly adopting policies aimed at changing travel choices made by general commuter. Theories on the relationship between high-speed technology and transport address changes in travel behavior of regional commuter due to alterations in the Kyung-Bu railroad transportation corridor. The purpose of this paper is to examine the relationships between travel behavior and high-speed technology. The KORAIL data allows us to explore the differences between travel characteristics that are usually hard to discern by guesswork. The effects of travel time were found to be significant in the full decisions that control for commuting KTX. Although many argue that transportation behavior cannot be changed, this paper demonstrates that about 4 years of behavioral data on KTX travel show otherwise. In this paper we explore several possibilities to fill in some of the gaps in our knowledge on the expansion of commuter belt.

• Journal of Agricultural Extension & Community Development
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• v.22 no.1
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• pp.25-30
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• 2015

This study established administrative districts of Myeon based on linkage analysis for Chungwa-myeon, Oksan-myeon, Naesan-myeon and Yanghwa-myeon which have the population of less than 2,000 among 15 Myeons in Buyeo-gun, Chungcheongnam-province. As the result of the analysis, it was analyzed that Chungwa-myeon was the most highly linked with Imcheon-myeon. Oksan-myeon had high linkage with Hongsan-myeon while Naesan-myeon had high linkage with Guryong-myeon. Lastly, it was analyzed that Yanghwa-myeon had high linkage with Chunghwa-myeon and Imcheon-myeon. It can be judged that this result comparatively agrees with the local history and policy of Buyeo-gun. Since the average area of a 'Myeon' is much larger than that of 'Dong', it will be difficult to provide administrative services if they are forced to be consolidated based only on population. Thus, it is necessary to establish standards which consider the population and area simultaneously.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.28-38
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• 2019

The smart card data stores the transit usage records of individual passengers. By using this, it is possible to analyze the traffic demand by station and time. However, since the purpose of the trip is not recorded in the smart card data, the demand for each purpose such as commuting, school, and leisure is estimated based on the survey data. Since survey data includes only some samples, it is difficult to predict public transport demand for each purpose close to the complete enumeration survey. In this study, we estimates the purposes of trip for individual passengers using the smart card data corresponding to the complete enumeration survey of public transportation. We estimated trip purposes such as commute, school(university) considering frequency of O-D, duration, and departure time of a passenger. Based on this, the passengers are classified as workers and university students. In order to verify our methodology, we compared the estimation results of our study with the patterns of the survey data.