6 papers
Spatiotemporal Assessment of Aircraft Noise Exposure Using Mobile Phone-Derived Population Estimates and High-Resolution Noise Measurements
Soohwan Oh, Hyunsoo Cho, Jungwoo Cho
Aircraft noise exposure has traditionally been assessed using static residential population data and long-term average noise metrics, often overlooking the dynamic nature of human…
Data-driven risk analysis of unmanned aircraft system operations considering spatiotemporal characteristics of population distribution
Soohwan Oh, Yoonjin Yoon
One of the challenges of Unmanned Aircraft System (UAS) operations is to operate an unmanned aircraft with minimal risk to people on the ground. The purpose of this study is to def…
Risk Analysis of Unmanned Aerial System Operations in Urban Airspace Considering Spatiotemporal Population Dynamics
Soohwan Oh, Yoonjin Yoon, Seyun Kim
This study aims to estimate the fatality risk of Unmanned Aerial System (UAS) operations from a population perspective using high-resolution de facto population data. In doing so,…
Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea
Jungwoo Cho, Yuyol Shin, Seyun Kim +4
Battle with COVID-19 turned out to be a marathon, not a sprint, and behavioral adjustments have been unavoidable to stay viable. In this paper, we employ a data-centric approach to…
The effect of adaptive mobility policy to the spread of COVID-19 in urban environment: intervention analysis of Seoul, South Korea
Yoonjin Yoon, Soohwan Oh, Jungwoo Cho +4
Although severe mobility restrictions are recognized as the key enabler to contain COVID-19, there has been few scientific studies to validate such approach, especially in urban co…
COVID-19 Mobility Data Collection of Seoul, South Korea
Jungwoo Cho, Soohwan Oh, Seyun Kim +4
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…