Nighttime　economy　contains　huge　consumption　potential　and　market　space.　As　the　carrier　of　nighttime　economy,　accurate　identification,　reasonable　classification,　and　scientific　layout　of　nighttime　economic　agglomeration　is　important　for　the　sustainable　development　of　nighttime　economy.　Under　the　cognitive　framework　named　＇point-axis　development　and　quantitative　identification＇,　and　based　on　quantification　of　nighttime　economic　vitality,　focal　statistics　and　ISODATA　are　used　to　extract　and　identify　nighttime　economic　agglomeration　centers　and　agglomeration　in　this　study.　According　to　the　location　quotient　and　its　coefficient,　the　nighttime　economic　agglomeration　is　classified.　This　process　overcomes　the　problems　of　chaotic　zoning　and　classification　standards　for　nighttime　economic　agglomeration　and　introduces　a　new　idea　for　the　quantitative　research　of　nighttime　economy.　The　results　show　that:　(1)　Compared　with　DMPS/　OLS　and　NPP-　VIIRS,　Luojia1-01　data　have　high　spatial　resolution　and　low　spillover　effect,　which　is　more　suitable　for　small-scale　study　of　＇nighttime　economic　agglomeration＇;　(2)　Nighttime　light　and　POI　data　are　good　representations　of　nighttime　social　vitality　and　functional　vitality,　and　their　combined　effects　can　be　quantitatively　expressed　through　the　night　economic　vitality;　(3)　Of　the　12　landmark　nightlife　agglomerations　launched　in　Shanghai,　11　are　identified　with　a　recognition　rate　of　91.7%;　(4)　According　to　the　functional　structure,　nighttime　agglomerations　can　be　divided　into　four　types:　unbalanced　developing　-　start-up　type,　balanced　developing　-　start-up　type,　unbalanced　developing　-　maturation　type,　and　balance　developing　-　maturation　type.　The　classification　method　is　universal;　(5)　In　the　development　stage,　shopping　and　catering　are　the　main　functions　of　the　agglomeration　area.　In　the　advanced　stage,　main　functions　turn　to　accommodation,　sports　and　fitness,　culture　and　education,　and　leisure　and　entertainment.　These　four　types　of　nighttime　agglomerations　form　an　obvious　circle　structure　spatially.　©　2022,　Science　Press.　All　right　reserved.