As　key　components　of　the　transportation　infrastructure　engineering　system,　bridges　are　required　to　have　sufficient　seismic　resilience,　which　is　important　for　both　post-earthquake　rescue　and　reconstruction　of　the　affected　areas.　A　suitable　decision　framework　contributes　to　improving　the　seismic　resilience　of　urban　bridge　networks.　Based　on　the　concept　of　disaster　management　lifecycle,　a　resilience　decision　framework　with　connectivity-based　and　traffic　assignment-based　metrics　is　proposed.　The　earthquake　management　cycle　is　divided　into　three　stages;　prevention,　emergency　response　and　long-term　recovery.　At　the　prevention　stage,　bridge　network　robustness　indicator　(BNRI)　is　used　to　determine　the　critical　bridges　that　should　be　retrofitted　preventively　and　pre-allocated　resources.　Genetic　algorithms　are　used　to　optimize　the　restoration　sequence　at　both　the　emergency　response　stage　and　the　long-term　recovery　stage.　The　decision　framework　is　applied　to　a　bridge　network　and　the　results　show　that　the　framework　is　able　to　solve　the　problem　of　seismic　resilience　improvement　of　the　network　with　limited　resources.　The　effect　of　prevention　costs　and　post-earthquake　resource　allocation　patterns　on　the　resilience　enhancement　of　bridge　networks　has　also　been　quantified.　©　2023　Editorial　Office　of　China　Civil　Engineering　Journal.　All　rights　reserved.