DEVELOPING A HOLISTIC DECISION SUPPORT FRAMEWORK: FROM PRODUCTION LOGISTICS TO SUSTAINABLE FREIGHT TRANSPORT IN AN URBAN ENVIRONMENT

Developing a holistic decision support framework: From production logistics to sustainable freight transport in an urban environment

In recent years, policy makers as well as urban logistics and transport research have investigated how to reduce environmental impact from transportation in urban areas.Therefore, many new frameworks that can help a specific actor in its decision making process at a certain decision making level (i.e., business or policy level) have been implemente

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Analysis of the fatigue status of medical security personnel during the closed-loop period using multiple machine learning methods: a case study of the Beijing 2022 Olympic Winter Games

Abstract Using machine learning methods to analyze the fatigue status of medical security personnel and the factors influencing fatigue (such as BMI, gender, and wearing protective clothing working hours), with the goal of identifying the key factors contributing to fatigue.By validating the predicted outcomes, actionable and practical recommendati

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