Efficient and reliable urban freight transport systems for creating safe and secured cities

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This study presented dynamic route choice models considering the variable travel times on road networks to evaluate the reliability of urban freight transport systems in normal and disaster cases. We compared the results of route choice using the models with real probe data of truck movements and clarified the effects of increasing the reliability of travel times on the route choice behavior of trucks. We developed multi-objective optimization models taking into account the total fuel consumption and the penalty for shortage of supplies to displaced people. We applied the models in the Tohoku Earthquake disaster cases in 2011 and revealed the applicability of the models. The optimization of location routing of relief supplies distribution was also examined. We evaluated the urban freight transport policy measures using multi-agent models and clarified that it is possible to establish the efficient and reliable urban freight transport systems in normal and disaster cases.