After a massive earthquake, there is a high likelihood of a severe shortage of land transportation capacity for a certain period. This shortage could significantly hinder the maintenance of social order and the early recovery and reconstruction efforts. As a mitigation measure, preemptive consideration of utilizing maritime transportation is highly valuable. This study assumes the Nankai Trough earthquake as a case of a massive earthquake and examines the transportation of disaster-related cargo. The target term is the pull-type transportation period, the recovery period and the reconstruction period. Given the severe post-disaster transportation constraints, a web-based reservation system is assumed for operating ferries and RORO ships as tramper vessels. To optimize vessel allocation under these conditions, a planning method was developed by integrating a genetic algorithm with a transportation simulator. Linkage Learning Genetic Algorithm (LLGA), which organizes chromosomes in a circular structure, was introduced. Various modifications were also added to better suit maritime transport. As a result, a feasible and practically implementable tramper allocation method was obtained.
Hiroshi Matsukura (Wed,) studied this question.