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ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Location Discrimination based on Mobility Patterns of Public Transportation Users Using Korean Smart Card Data |
ÀúÀÚ(Author) |
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Soo-Jeong Yu
Jae-Gil Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 33 NO. 02 PP. 0003 ~ 0013 (2017. 08) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Understanding people's movement patterns is an important factor in planning and operating a city system. Therefore, researches have actively attempted to find patterns that people regularly move. Meanwhile, Seoul introduced the smart card system in 2004, which not only provides accurate and convenient transit transaction functions, but also enables large-scale data analysis based on passengers' travel routes. However, there is a limit to study the regularity of mobility patterns because the smart card data holds the information only at boarding and alighting times and thus does not provide continuous positional information of the passengers. In this paper, by using large-scale smart card data of the traffic users in the metropolitan area of Korea, we propose a technique of discriminating passengers' hourly locations based on their movement patterns in order to analyze the regularity of the spatio-temporal mobility patterns. We first design a formula to calculate the regularity of mobility patterns of each time interval. Based on the transaction records of about 13 million smart card users in the metropolitan area, 150 million transactions are converted into hourly spatio-temporal data. The potential of the proposed technique is shown by analyzing how the results of the regularity change after applying the location discrimination technique, and the direction of future research will be discussed.
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Å°¿öµå(Keyword) |
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½º¸¶Æ® Ä«µå
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Public Transportation
Travel Pattern
Mobility Regularity
Smart Card
Big Data
Spatio-temporal Data Analysis
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