This study examines the effect of macroeconomic shocks on the shipping market using time-series data by comparing the periods of the COVID-19 and traditional crises. A structural vector autoregressive model and forecast scenario were applied for the analysis. The results can be summarized as...

The aim of this study is to construct monthly coincident and leading composite indicators for the shipping industry in Korea. The coincident and the leading indicators are computed using the generalized dynamic factor model. We use the production index of the water transport industry as the...

In this paper, we use a logit model to predict the probability of default for Korean shipping companies. We explore numerous financial ratios to find predictors of a shipping firm’s failure and construct four default prediction models. The results suggest that a model with industry specific...

In this paper, we use a logit model to predict the probability of default for Korean shipping companies. We explore numerous financial ratios to find predictors of a shipping firm's failure and construct four default prediction models. The results suggest that a model with industry specific...

A high-temperature latent heat thermal energy storage (LHTES) system was analyzed for applications to concentrated solar power (CSP) plants (utilizing steam at ∼610 °C) for large-scale electricity generation. Magnesium chloride was selected as the phase change material (PCM) for the latent...

In this paper we present a dual-time-scale formulation of dynamic user equilibrium (DUE) with demand evolution. Our formulation belongs to the problem class that Pang and Stewart (2008) refer to as differential variational inequalities. It combines the within-day time scale for which route and...