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Evaluating navigation safety for harbours in Taiwan: An empirical study

机译:台湾港口航行安全评估的实证研究

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The purpose of this study is to develop a model to evaluate navigation safety for vessels sailing to Taiwanese commercial harbours, based on a dataset of marine casualties. In order to devise the practical model, linear programming and Data Envelopment Analysis (DEA) are applied to develop a DEA model algorithm. Firsly, a simplified DEA model structure is constructed with one input variable, eleven output variables and four decision-making units (DMUs).Then, a dataset of marine casualties are employed to obtain all variables, as well as to appraise the superiorities of all DMUs. Finally, utilising a DEA solver, the highest navigation safety for the DMUs can be evaluated. Furthermore, an empirical survey of navigation safety in Taiwanese commercial harbours is performed to appraise the systematic approach, ie, the DEA model.The results of this study show that: (I) Keelung and Kaohsiung are the most dangerous harbours; (2) Taiwan's safest commercial harbour is Haulien, followed in ranking by Taichung, Kaohsiung and Keelung; (3) Based on the algorithm of the proposed DEA model, the results can reflect reality.
机译:这项研究的目的是建立一个基于海上人员伤亡数据集的模型,以评估驶往台湾商业港口的船只的航行安全性。为了设计实用模型,应用线性规划和数据包络分析(DEA)来开发DEA模型算法。首先,建立一个简化的DEA模型结构,其中包含一个输入变量,十一个输出变量和四个决策单元(DMU),然后使用海上人员伤亡数据集获取所有变量,并评估所有人员的优势DMU。最后,使用DEA求解器,可以评估DMU的最高导航安全性。此外,对台湾商业港口的航行安全进行了实证研究,以评估系统方法,即DEA模型。研究结果表明:(I)基隆和高雄是最危险的港口; (2)台湾最安全的商业港口是花莲,其次是台中,高雄和基隆; (3)基于提出的DEA模型的算法,结果可以反映实际情况。

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