A5039223841- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Safety Warnings and Signage
- Occupational Health and Safety Research
- Employment and Welfare Studies
- Risk and Safety Analysis
- Vehicle emissions and performance
- Atmospheric chemistry and aerosols
- Traffic Prediction and Management Techniques
- Air Quality and Health Impacts
Korea National University of Transportation
2024
Seoul National University of Science and Technology
2024
This study investigates how household income levels and satisfaction with impact the relationship between long working hours self-rated health (SRH) among Korean workers. We analysed data from Labour & Income Panel Study spanning 2018 to 2022, including 8,954 10,079 wage workers annually. Weekly SRH were primary variables, equivalized classified into quartiles. A generalised estimating equation was used assess poor SRH, adjusted for demographic health-related factors. Subgroup analyses...
Hourly traffic volume prediction is now emerging to mitigate and respond hourly-level congestion augmented by deep learning techniques. Incorporating meteorological data into the forecasting of hourly volumes substantively improves precision long-term forecasts. Nonetheless, integrating weather models challenging due complex interplay between flow, time-based patterns, conditions. This paper proposes a graph convolutional network predict with information. study utilized four-year information...
The purpose of this study is to develop and validate a simple unsafe behavior checklist assess the extent among workers in an industrial setting. was developed using Focus Group Interview (FGI) Analytical Hierarchy Process (AHP) analysis methodology. Preliminary testing conducted with unspecified sample correlation between accident experience validated. analyzed compared type demonstrated suitability checklist. A risk sensitivity risk-taking employed identify five types behavior. This...