由於軌道運輸逐漸受到重視，除了高鐵以外，捷運等軌道運輸也逐漸蓬勃發展。軌道運輸之特性在於速度快，且運量大。這些特性導致了，一旦系統發生事故，則往往傷亡慘重，並且對營運層面的影響極大。如何妥善評估並且規劃鐵路事故救災策略以及資源配置，應該會是重要的。
到目前為止，鐵路救災之權責單位，如旅客面的醫療救治是各地方醫療單位之救護車輛進行輸送。人員搶救以及火災衍生之預防需要地方消防人員之協助。災區秩序維護以及交通管制需要警方的幫助。而鐵路系統之搶修需要鐵路專業人員之技術。由此發現，鐵路事故的搶救牽涉到許多不同救援單位之合作以及協調，才能夠將災害所帶來的損害予以排除，讓系統回復到正常營運。因此，如何進行救災策略之制定，本模式利用派翠網路以及模糊理論建構鐵路事故專家搶救決策系統，以得知如何制定鐵路搶救之策略。
另外由於救援物資具有投資成本大，且希望達成救援運輸時間短之兩矛盾問題。如何評估系統救援之救援能力，以適度增加救援資源並且使得救援資源分配可以避免過度集中或者分配不均的情況，應該是未來可以改進的空間。
本研究除了進行實際案例之驗證比較以外，也將針對鐵路災害之特性，例如可及性問題等進行模式推演。此外也利用情境模擬以及敏感度分析方式，找出鐵路救災之特性以及了解模式本身對於鐵路救災特性之適用性。

This research combines an expert rescue decision system with a rescue resources dispatching model under a railway accident. Minimizing the total rescue dispatching time and minimizing the total rescue expense are two major programming objectives to determine the optimal rescue resources dispatching and rescue resources preparation.

An empirical study on the real railway accident of Taiwan Railway Administration shows the effectiveness of the model. The case study includes different scenario of railway accident and tries to test if the system has enough rescue capability.

Result suggests that in order to achieve the most efficient rescue investment and rescue activity performance, the planning of the rescue system should be evaluated during the system operation time.

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