| Summary: | 碩士 === 國立成功大學 === 交通管理科學系 === 104 === Climate change has become a critical issue in recent year, and lead to natural disasters happen more frequently and seriously. Transportation infrastructures are vulnerable under disasters, so resilience enhancement plan is necessary to conduct. However, resilience is a relative vague concept and hard to quantify, and seldom takes sustainability into consideration, so the purpose of this research is to discuss the connection of resilience and sustainability in transportation systems and to formulate the mathematical model for measuring transportation resilience with the consideration of sustainability under disasters.
This research focuses on the pre-disaster and post-disaster optimization of network resilience and sustainability under different assumptions and constraints. The main objective is to establish an optimization model that can both consider transportation resilience and sustainability. The optimization model based on multiple indicators are proposed to improve transportation resilience by efficient resource allocation for pre-disaster preparedness and post-disaster recovery actions.
DynaTAIWAN is used to evaluate the resilience index under disasters, and AHP method is used to combine multiple indicators. The experts think coping capacity is the most important indicator. Empirical study of Kaohsiung Gas Explosions in 2014 is carried out to illustrate the application, and different scenarios are carried out in experiments. The results can offer some advices for efficient resource allocation plans and disaster prevention enforcement plans when sustainability is considered. Taking preparedness and recovery actions can not only improve network performance under disaster but also increase the level of sustainability, especially for preparedness. Further, level of sustainability increases most rapidly with respect to budget. Thus, enough budget is needed for considering sustainability.
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