Abstract: In order to solve the load restoration problem after an extreme disaster, a spatio-temporal hierarchical scheduling strategy for electric vehicle（EV） energy is proposed to assist the critical load restoration by urban road repair. In the first stage, the optimal spatial allocation of EV energy is determined by building and integrating the route planning model of EVs and the multiperiod coordinated critical load restoration model. In the second stage, the route planning model of road repair crews is established,and then the integrated optimization with the route planning model of EVs is conducted. The repairing orders and routes of road repair crews are determined, and the time and remaining energy when EVs reach the charging stations are solved. In the third stage, the power supply sources and critical loads of the distribution network are considered to determine the optimal allocation of the energy on the time scale with the objective of maximizing the weighted supply time. Finally, considering the post-disaster fault scenarios in the coupled transportation and distribution network, the scheduling results of different strategies are compared and analyzed, and the assistance effect of the road repair on load restoration is explored. The results show that the proposed strategy can give full play to the spatio-temporal flexibility of EV energy, reasonably coordinate the action decisions between EVs and road repair crews, and then improve the restoration effect of critical loads to a certain extent.