Go to Main Content

Press Releases

A A
  • Seoul uses big data to curb illegal subway uses

  • SMG 144
    • Seoul to use big data to detect those who dishonesty use the free transportation cards exclusively for the elderly, the handicapped and the transportation vulnerable
    • The data on free transportation cards using subways were extracted with a typical pattern of office workers, which is different from the general usage pattern by senior citizens aged over 65
    • The analysis found that more than 18,000 users have visited home and a place that is assumed as a workplace repeatedly and have more than 15 days of nine-hour staying during weekdays at the place during a month of November 2018
    • If 80 percent of them are fraudulent usages, the estimated fare losses amount to 11.2 billion won a year
    • The Seoul Metropolitan Government to identify the serial numbers of the free transportation cards believed to be used illegally and predict the most likely subway stations and time in order to notify this information to subway operators every month
    • Seoul expects that the use of big data technology will minimize costs and manpower input while having a pre-preventive effect against illegal use of subway and greatly improving the efficiency and effectiveness of the crackdown

    SEOUL, SOUTH KOREA, August 6, 2019 — The Seoul Metropolitan Government announced its plans to use big data to create an estimation model of the fraudulent use of free transportation card exclusively for senior citizens aged 65 and older and the transportation vulnerable. Based on this model, the city government will estimate the subway stations and the time those who have dishonesty used the free transportation cards usually use to detect them.

    As the number of the deceitful use of free transportation card has increased to 21,513 in 2018 from 16,503 in 2013, subway operators have set up the special squad to run random inspections. However, it was hard to deal with this problem effectively.

    If a free transportation card is lent or transferred to other people, a card holder is not allowed to use the card nor to have it reissued for one year and an illegal user will be fined 30 times the passengers’ fare.

    According to the Seoul Metropolitan Government’s analysis of the one-month data of the free transportation card use, a total of 1.8 million people used it and the number of usages of this card reached 38.59 million. Among them, data on free transportation cards using subways were extracted with a typical pattern of office workers, which is different from the general usage pattern by senior citizens aged over 65, who usually use it during the daytime and have an average outing time of less than five hours.

    The analysis found that more than 18,000 users have visited home and a place that is assumed as a workplace repeatedly in the morning and evening, and have more than 15 days of nine-hour staying during weekdays at the place during a month of November 2018. If 80 percent of them are fraudulent usages, the estimated fare losses amount to 11.2 billion won a year.

    According to an analysis of the elderly’s use of public transportation in March 2018, they usually use the subway during the daytime with an average usage time of four hours and 45 minutes, while about 40 percent of ordinary transportation card users use it during commuting hours.

    The Seoul Metropolitan Government will identify the serial numbers of the free transportation cards believed to be used illegally and predict the most likely subway stations and time in order to notify this information to subway operators every month. It will also plan to begin cracking down the illegal users from this upcoming September when summer vacations end.

    The Seoul Metropolitan Government expects that the use of big data technology will minimize costs and manpower input while having a pre-preventive effect against illegal use of subway and greatly improving the efficiency and effectiveness of the crackdown.

    In the meantime, the Seoul Metropolitan Government has used big data to improve services for the morning rush hour traffic route for workers going to work at dawn in June 2018, and is also pushing for a convergence analysis with private data to improve traffic services.