  The relationship between pandemic and human mobility has received
considerable attention from scholars, as it can provide an indication of how
mobility patterns change in response to a public health crisis or whether
reduced mobility contributes to preventing the spread of an infectious disease.
While several studies attempted to unveil such relationship, no studies have
focused on changes in human mobility at a finer scale utilizing comprehensive,
high-resolution data. To address the complex association between pandemic's
spread and human mobility, this paper presents two categories of mobility
datasets - trip mode and trip purpose - that concern nearly 10 million
citizens' movements during COVID-19 in the capital city of South Korea, Seoul,
where no lockdowns has been imposed. We curate hourly data of subway ridership,
traffic volume and population present count at selected points of interests.
The results to be derived from the presented datasets can be used as an
important reference for public health decision making in the post COVID-19 era.
