Visual Jornalism Week 04

How change people’s traffic patterns (bicycle usage rate, subway usage rate, etc.) and traffic accident rate changed in Seoul, Korea since COVID-19?

For my final project, I tried to search the dataset on COVID-19 and discover the categories and questions I’m interested in. Thankfully, Google was providing ‘COVID19 community mobility trends‘ as open source data for Covid-19, and I got the idea here.

The line graph below shows ‘How did the number of visitors change since the beginning of the pandemic in South Korea’ from February 17th to November 17th. The data shows each section like ​​Parks, Grocery and Pharmacy stores, Transit Stations, Residential, Workplaces, and Retail&Recreation.


I decided to focus on the Transit Stations section of these areas.
It can be seen that the graph declined significantly at the end of February and gradually recovered after May.


To further, I wanted to get more specific data on mobility such as walking or driving. So I found this data set form Apple.


The Data from Apple’s Mobility trends show that walking and driving rates have decreased significantly since the coronavirus in Seoul.
And here I came up with some my final questions.

Final questions

  • The above data only shows walking and driving data, but not the subway usage data. How did the subway use rate change in Seoul during the pandemic?
  • The ratio of walking and driving has decreased during the pandemic. If so, is there any change in the actual traffic accident rate in Seoul after the covid-19?
  • Also, is there any change in the usage rate of public bicycles in Seoul after the covid-19?

Visual output


I think it will come out in the form of a comparison of line graphs for the questions I have listed above, but I think I am gonna try other types of graphs as well.