A STUDY OF SPREAD AND CONTROL OF INFECTIOUS RESPIRATORY DISEASES BASED ON DATA ANALYTICS OF PUBLIC TRANSPORTATION CARDS

[ 31 Dec 2019 | vol. 7 | no. 3 | pp. 15-22 ]

About Authors:

Seunghyun Kim1, Chanhee Oh2 and Seungjae Lee3*
-1Department of Transportation Engineering, University of Seoul, South Korea
-2Department of Transportation Engineering, University of Seoul, South Korea
-3Department of Transportation Engineering, University of Seoul, South Korea

Abstract:

In recent years, there have been rapid changes in various aspects of ecosystem of the earth. So infectious respiratory diseases are increasing as well, along with the damages caused by respiratory diseases accordingly. In Korea, MERS occurred for the first time on May 28, 2015. Prevalence of MERS was one of the reasons that resulted in reducing the number of public transport passengers in Seoul in 2015, which had been maintained until 2014. One of the reasons is anxiety about vulnerability of public transportation to infection. Therefore, it is required to perform various studies for infectious respiratory diseases by public transportation. This study is to build a data warehouse using data in public transportation and medical sector, predict the spread of infectious respiratory diseases (IRD) via public transportation through data analytics, and build a system that provides IRD-related information to public transportation users. For the purpose, this study used encounter network analysis, activity-based model and Monte-carlo simulation. To build an information-providing system, round-based public transit routing algorithm which is a shortest route search algorithm, and Google open API & Map were used. Using this system, we are improving reliance on public transportation. In addition, it intends to investigate how we can provide IRD-related information to users more accurately by predicting the transmission routes of respiratory diseases.

Keywords:

infectious respiratory diseases, encounter network analysis, activity-based model, public transportation, smart card data

 

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