依據過去歷史經驗顯示，大規模地震後，道路容易被液化或建築物倒塌阻塞，從而導致救災困難。本研究採用了台灣的兩種地震損失估算系統，分別計算了液化或建築物倒塌造成的道路阻塞風險。提出了一種新的建模方法，並對單因子和聯合因子的結果進行了比較。測試了三種峰值地面加速度（PGA）= 250、400、550 Gal的情況。結果顯示，當PGA達到400 Gal時，液化引起的道路堵塞的可能性幾乎達到最大。另一方面，如果PGA增加，則由於建築物倒塌而造成道路阻塞的可能性會增加。當使用任一因子時，由於液化和建築物倒塌造成的道路阻塞的聯合概率可以改善低估的可能性，並且可以更實際地評估風險。目前，台灣還沒有考慮兩個重要因子的風險評估模型。本研究提供了一個簡單的救災道路風險評估模型，以製定更好的緊急救援計畫。此外，它還可以為在救災道路兩側實施抗震加固政策提供信息，從而降低救災道路障礙的風險。另外，目前各地所開發的各種地震損失估算系統。常用的分析單位包括網格和里（或行政區）。但是，網格與街道/道路不一致，使得以網格的分析對於疏散和救災道路規劃不易整合。至於以里單元的分析，一個單元會覆蓋較大的空間，可能無法指出倒塌建築物的確切位置。因此，本研究另以街廓（即被道路包圍的街區）作為替代方案。找出更好的分析單位，比較了以街廓和里的分析。同樣以板橋區為例，用寬度為6米或以上的道路劃定街道。在400和550 Gal的峰值地面加速度（PGA）下進行的建築物倒塌，評估顯示，在定位倒塌建築物方面，以街廓的分析優於以里單元的分析。此外，由於街廓與道路網絡的一致性，因此容易用於規劃疏散或救援道路。在城市地區，可以通過以街區的分析對地震損失估算進行更高分辨率的空間分析。

After a large-scale earthquake, the road is susceptible to get blocked by liquefaction or building collapse, and that results in disaster-relief difficulty. This study adopted two earthquake loss estimation systems in Taiwan, and the risk of road blockage caused by liquefaction or building collapse was calculated separately. A new modeling was proposed. Three scenarios of Peak Ground Acceleration (PGA) = 250, 400, 550 Gal were tested. The result shows that the probability of road blockage due to liquefaction almost reaches the maximum when PGA hits 400 Gal. On the other hand, the probability of road blockage due to building collapse increases if PGA increases. At present, there is no risk assessment modeling considering two important factors for disaster-relief road planning in Taiwan. This study provides a simple and comprehensive disaster-relief road risk assessment modeling to make better emergency rescue plans. In addition, it can provide the information for conducting seismic strengthening policy for both sides of the disaster-relief road that can reduce the risk of obstacles to disaster-relief roads. Additional, various earthquake loss estimation systems have been developed in the world. The commonly used units of analysis in those systems include grid and village (or administrative district). However, grids are not consistent with streets/roads, making grid-based analyses impractical for evacuation and rescue road planning. Therefore, to figure out the better analytical units, this study compared street-block-based analyses and village-based analyses. Banqiao District was used as a case. Building collapse assessment under peak ground acceleration (PGA) of 400 Gal and 550 Gal demonstrates that street-block-based analyses outperform village-based analyses in terms of locating the collapsed buildings. Moreover, street blocks are readily available for planning evacuation or rescue roads for their consistence with the road network. In urban areas, the higher-resolution spatial analyses of earthquake loss estimation can be made by street-block-based analyses.

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