Human　error,　as　a　major　accident　causal　factor,　can　trigger　an　storage　tank　fire　accident　and　delay　the　activation　of　active　protection.　In　this　work,　a　domino-human　intervention　model　was　proposed　to　assess　the　effect　of　human　reliability　on　domino　fire　accidents.　The　optimized　cognitive　reliability　and　error　analysis　method　(CREAM)　was　constructed　to　calculate　the　human　error　probability　(HEP).　The　dynamic　Bayesian　network　(DBN)　of　the　domino-human　intervention　model　was　constructed　by　the　probability　of　fire　escalation　and　HEP.　Among　them,　the　analyzed　network　includes　an　initial　accident　scenario　and　a　safety　barrier　protection　scenario.　Lastly,　the　domino-human　intervention　model　was　applied　in　a　case　study.　The　application　of　the　model　is　validated　in　the　case　study,　which　confirms　that　HEP　can　reduce　storage　tank　safety,　as　well　as　have　a　delayed　effect　on　active　protection.　The　proposed　model　will　serve　as　an　assessment　tool　for　the　effect　of　human　reliability　on　domino　accidents.　©　2025　Elsevier　Ltd