Recovering　postdisaster　communications　has　been　a　challenging　task　for　search　and　rescue.　Recently,　device-to-device　(D2D)　and　device-to-vehicle　(D2V)　networks　have　drawn　attention.　Nonetheless,　the　limited　D2D　coverage　and　onboard　energy　pose　a　new　need　for　establishing　a　hybrid　D2D　and　D2V　network.　In　this　article,　we　jointly　establish,　optimize,　and　integrate　D2D　and　D2V　networks　to　support　energy-efficient　emergency　communications.　First,　we　establish　a　D2D　network　by　optimally　dividing　ground　devices　(GDs)　into　separated　clusters　and　identifying　temporary　data　caching　centers　(TDCCs)　from　GDs　in　clusters.　Accordingly,　emergency　data　returned　from　GDs　are　cached　in　TDCCs.　Second,　given　the　distribution　of　TDCCs,　unmanned　aerial　vehicles　(UAVs)　are　dispatched　to　fetch　data　from　TDCCs.　Therefore,　we　establish　a　UAV-assisted　D2V　network　through　path　planning　and　network　configuration　optimization.　Specifically,　optimal　path　planning　is　implemented　using　cascaded　waypoint　and　motion　planning,　and　optimal　network　configurations　are　determined　by　multiobjective　optimization.　Consequently,　the　best　tradeoff　between　emergency　response　time　and　energy　consumption　is　achieved,　subject　to　a　given　set　of　constraints　on　signal-to-interference-plus-noise　ratios,　the　number　of　UAVs,　transmit　power,　and　energy.　Simulation　results　show　that　our　proposed　approach　outperforms　benchmark　schemes　in　terms　of　energy　efficiency,　contributing　to　large-scale　postdisaster　emergency　response.　IEEE