The　transport　security　of　liquefied　natural　gas　(LNG)　is　a　major　challenge　in　global　energy　supply　chains.　Understanding　the　impact　of　port　disruptions　and　strengthening　the　system＇s　resilience　are　critical　to　ensuring　global　energy　trade.　This　paper　introduces　a　comprehensive　framework　for　assessing　the　resilience　of　the　LNG　transport　network.　First,　we　construct　a　directed　and　weighted　network　model　of　the　LNG　transport　system,　and　apply　multidimensional　centrality　measures　to　evaluate　the　importance　of　individual　ports.　Next,　we　assess　changes　in　the　network　structure　caused　by　intentional　port　node　disruptions,　employing　a　Bow-tie　network　structure　analysis.　Additionally,　we　introduce　a　novel　weighted　network　efficiency　metric　that　incorporates　link　directionality　and　weight　to　assess　the　static　resilience　of　the　network.　Furthermore,　we　develop　an　SIR　(Susceptible,　Infected,　Recovered)　transmission　model　that　integrates　relative　weighted　influence　metrics　for　each　port　to　showcase　the　dynamic　spread　of　risk　following　a　disruption　at　a　port　node.　Finally,　a　dynamic　resilience　assessment　framework　leverages　several　key　metrics　to　enhance　a　better　understanding　of　the　resilience　of　critical　LNG　transit　ports.　Our　modeling　methodology　and　evaluation　framework　offer　a　theoretical　foundation　for　stakeholders　to　mitigate　unexpected　risks　and　safeguard　against　the　diffusion　of　disruption　risk.　©　2025　Elsevier　Ltd