Many researchers have studied vessel systems to enhance navigation safety at sea, or analysed the statistics of marine casualties of different flagged vessels as well as the fatalities and injuries in ferry accidents. However, little research has been devoted to port safety and especially navigation safety within Taiwanese territorial waters where over a 10-year period there have been 3428 marine accidents with 548 deaths and 524 vessels sunk. In this paper, we use the Grey Relational Analysis (GRA) to analyse the marine accident records of each of Taiwan's commercial ports from 1992-2003. Then, after interviewing the port authority managers and marine specialists, we discover the concerns felt by these professionals about Taiwanese commercial ports. We provide suggestions to strengthen port navigation safety.
The Asian Steel Index (ASI) and Baltic Capsize Index (BCI)are important indices of the tramp shipping industry, where the BCI index reveals both the current tramp maritime transport fare and market status, while the ASI index is a composite index determined by the trade prices of steel. This paper first reviewed the literature of ASI and BCI indices to illustrate the current composition of the ASI index, as well as the BCI index in the present tramp maritime industry. A time-series analysis was then followed to construct the optimum model of ASI and BCI indices, and the results could be used as references for the maritime industry. According to the formulation of the multivariate time series models, the optimal mode was found to be VARMA (2,4), which meant that both the ASI and BCI indices would be affected by previous two series of data and have the error correction effect of 4 series. The results of this study confirm that ASI and BCI indices have impacts on each other, especially for the maritime zones of the BCI index, which are consistent with the status of China, a big country with high demands for raw steel material. Furthermore, this model allows the user to discover the impact multiplier of both indices. The construction of the model is hoped to help provide a reference for academics and businesses in the shipping industry.
This research aims to discover information underlying the historical records of marine incidents in order to develop an effective marine traffic management system and rescue resource allocation system in the harbours and waters surrounding Taiwan. Data were collected from the official records of the Taiwanese Ministry of Transportation and Communications and the Coast Guard Administration of Taiwan. Data analysis and Google Earth were utilized to determine the locations of the occurred incidents. The results revealed that on an annual basis, the proportion of marine incidents outside of harbours was much higher than the incidents that took place within harbours. The results also showed that the rate of increase for marine incidents significantly decreased outside of harbours, but increased within harbours, both for commercial vessels and fishing boats from 2005 to 2009. Certain events, such as collisions/contacts, groundings/standings, mechanical malfunctions/failures, and fires/explosions accounted for more than half of the occurred accidents. Finally, the identification of incident locations provides visual evidence to elucidate precisely where the problems are and where rescue resources should be optimally allocated. Recommendations and implications for marine traffic management policy were discussed.
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