To　assess　the　post-earthquake　support　capacity　of　highway　networks,　the　post-earthquake　connectivity　reliability　and　traffic　travel　time　analysis　model　of　highway　networks　were　established　based　on　Monte　Carlo　simulation.　The　seismic　damage　states　and　corresponding　probabilities　of　roads　and　bridges　were　evaluated　by　seismic　fragility　curves.　The　descending　traffic　capacity　of　road　sections,　caused　by　the　seismic　damages　of　roads　and　bridges,　was　calculated　by　the　reduction　factors　of　the　connectivity,　travel　speed,　and　traffic　capacity　of　roads　and　bridges.　The　Monte　Carlo　method,　in　consideration　of　the　uncertainty　on　seismic　damages　of　roads　and　bridges,　was　adopted　to　simulate　the　post-earthquake　performance　of　highway　networks　with　the　descending　traffic　capacity.　In　each　Monte　Carlo　sampling　calculation,　the　highway　network　connectivity　was　verified　by　the　breadth　first　search　algorithm.　The　incremental　assignment　algorithm　was　adopted　to　evaluate　the　total　travel　time　on　basis　of　the　statistic　traffic　assignment　of　the　highway　network.　The　mean　values　of　connectivity　reliabilities　and　travel　time　of　highway　networks　were　repeatedly　calculated　by　the　Monte　Carlo　simulation,　with　the　result　of　denoting　the　post-earthquake　state　of　the　highway　network.　Characteristics　and　applicability　of　the　highway　network　connectivity　and　travel　time　analysis　model　were　analyzed　by　the　numerical　example.　The　results　show　that　the　descending　post-earthquake　traffic　capacity　is　one　of　main　factors　of　the　increase　of　total　travel　time.　The　reliability　node　with　the　low　connectivity　corresponds　to　high　post-earthquake　travel　time.　And　the　enhancement　of　post-earthquake　support　capability　of　highway　network　can　be　achieved　by　the　increase　of　origin　nodes　of　network　traffic　flow.　The　connectivity　reliability　model,　with　a　few　input　parameters,　is　appropriate　for　an　initial　analysis.　Meanwhile,　considering　traffic　capacity　properties　of　road　sections　as　well　as　traffic　parameters　of　origin-destination　(OD)　networks,　the　analysis　model　of　traffic　travel　time　provides　more　precise　results.　©　2017,　Editorial　Department　of　China　Journal　of　Highway　and　Transport.　All　right　reserved.