• Title/Summary/Keyword: Livestock facility visit history

Search Result 3, Processing Time 0.017 seconds

Assessment of Livestock Infectious Diseases Exposure by Analyzing the Livestock Transport Vehicle's Trajectory Using Big Data (빅데이터 기반 가축관련 운송차량 이동경로 분석을 통한 가축전염병 노출수준 평가)

  • Jeong, Heehyeon;Hong, Jungyeol;Park, Dongjoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.19 no.6
    • /
    • pp.134-143
    • /
    • 2020
  • With the worldwide spread of African swine fever, interest in livestock epidemics is growing. Livestock transport vehicles are the main cause of the spread of livestock epidemics, but no empirical quarantine procedures and standards related to the mobility of livestock transport vehicles in South Korea. This study extracted livestock-related vehicles' trajectory by utilizing the facility visit history data from the Korea Animal Health Integrated System and the DTG (Digital Tachograph) data from the Korea Transportation Safety Authority and presented them as exposure indexes aggregating the link-time occupancy of each vehicle. As a result, a total of 274,519 livestock-related vehicle trajectories were extracted, and exposure values by link and zone were quantitatively derived. Through this study, it is expected that prior monitoring of livestock transport vehicles and the establishment of post-disaster prevention policies would be provided.

Development of Predicting Model for Livestock Infectious Disease Spread Using Movement Data of Livestock Transport Vehicle (가축관련 운송차량 통행 데이터를 이용한 가축전염병 확산 예측모형 개발)

  • Kang, Woong;Hong, Jungyeol;Jeong, Heehyeon;Park, Dongjoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.21 no.4
    • /
    • pp.78-95
    • /
    • 2022
  • The result of previous studies and epidemiological invstigations for infectious diseases epidemic in livestock have shown that trips made by livestock-related vehicles are the main cause of the spread of these epidemics. In this study, the OD traffic volume of livestock freight vehicle during the week in each zone was calculated using livestock facility visit history data and digital tachograph data. Based on this, a model for predicting the spread of infectious diseases in livestock was developed. This model was trained using zonal records of foot-and-mouth disease in Gyeonggi-do for one week in January and February 2015 and in positive, it was succesful in predicting the outcome in all out of a total 13 actual infected samples for test.

Leading, Coincident, Lagging INdicators to Analyze the Predictability of the Composite Regional Index Based on TCS Data (지역 경기종합지수 예측 가능성 검토를 위한 TCS 데이터 선행·동행·후행성 분석 연구)

  • Kang, Youjeong;Hong, Jungyeol;Na, Jieun;Kim, Dongho;Cheon, Seunghun
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.21 no.1
    • /
    • pp.209-220
    • /
    • 2022
  • With the worldwide spread of African swine fever, interest in livestock epidemics has increased. Livestock transport vehicles are the main cause of the spread of livestock epidemics, but there are no empirical quarantine procedures and standards related to the mobility of livestock transport vehicles in South Korea. This study extracted the trajectory of livestock-related vehicles using the facility-visit history data from the Korea Animal Health Integrated System and the DTG (Digital Tachograph) data from the Korea Transportation Safety Authority. The results are presented as exposure indices aggregating the link-time occupancy of each vehicle. As a result, 274,519 livestock-related vehicle trajectories were extracted, and the exposure values by link and zone were derived quantitatively. This study highlights the need for prior monitoring of livestock transport vehicles and the establishment of post-disaster prevention policies.