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Safe handling operations for container terminals significantly determine whether cargos can be successfully delivered. However, the container terminals involve frequent container operations with heavy machinery and accidents occur quite often, causing financial losses, injuries and even deaths. Since various handling operations cannot guarantee absolute safety as well as many of these operations have substantial risks that can cause losses, we find safe handling operations a topic worthy of in-depth investigation. This study analyzed risk factors influencing safe handling operation problems with complicated cause-effect relationships and their correlations; hence, the main purpose of this article was to apply the Decision Making Trial and Evaluation Laboratory method to evaluate the core risk factors of the container handling operations at Kaohsiung port in Taiwan. This article first sorted out five major risk aspects with 17 risk factors through interviews with other scholars and direct investigation at Kaohsiung port. Then, based on the questionnaire surveys, we used the Decision Making Trial and Evaluation Laboratory method to analyze the cause-effect relationships of each risk factor. To clearly explain the relationship between each risk factor shown in the cause-effect diagram, the Decision Making Trial and Evaluation Laboratory results finally showed four quadrants and their corresponding risk factors. To achieve our research purpose, the seven core risk factors in the first quadrant are identified,

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Due to the static nature of nodes, in mesh networks, a poor choice of paths may remain unchanged for a long time and create hot spots. Hence, it is very important to design path weight functions (also called routing metrics) to facilitate load-balanced routing in mesh networks. Such path weight functions (PWFs) must reflect the shared nature of wireless channels and support easy calculation of loop-free paths. In this abstract, we present our theoretical studies of the requirements on PWFs and design the first PWF, called Metric of Interference and Channel-switching (MIC) , that satisfies these requirements. Our simulation results show that MIC's performance is substantially better than existing PWFs. (See our technical report [5] for more details.)