Abstarct: The most recently, the transportation system is witnessing the penetration and expansion of electric vehicles and replacing them with internal combustion vehicles in order to deal with the growth of carbon emissions. The increase in electric vehicle demand will be seen as a large-scale electric load in the distribution system. With this regards, the connection of distribution and transportation systems and the necessity of their coordinated planning becomes more apparent. On the other hand, the increase in the number of extreme weather events across the world and their destructive effects on critical infrastructures exacerbate the challenges of planning of these systems. The studies done for planning these two systems are very limited. Also, the details of electric vehicle charging and discharging and its effect on the connection between the two systems have not been seen in these studies. Accordingly, in this thesis, a new planning model is presented to strengthen the resilience of the integrated distribution and transportation systems against extreme weather events. In the newly proposed model, , the optimal long-term strategies for the distribution and transportation systems are simultaneously obtained. Then, by measuring the effect of these strategies in dealing with the destruction caused by extreme weather events, a well-adapted strategy is chosen to reinforce the resilience of the integrated transportation and distribution systems. The suggested model is developed in the form of a three-level robust frxameworkin which the investment of the aggregated systems is minimized in the first level with the aim of minimizing the investment costs. In the second level, the worst effect of the disasters on the aggregated systems is explored; however, in the third level, baxsed on the output of the variables of the first and second levels, the operating problem of the aggregated systems is modeled with the target of minimizing the damages imposed on the aggregated systems. The three-level problem are solved using a combination of two algorithms, "column-and-constraint generation" (C&CG) and "Bender's Decomposition" and implemented on an experimental system including a 7-bus distribution system and a 5-road transportation system. The results of this implementation showed the effect of various investment plans proposed in both systems on the aggregated system.