In　recent　years,　a　substantial　body　of　research　has　demonstrated　the　close　relationship　between　the　built　environment　and　urban　nighttime　vitality.　While　scholars　have　established　slightly　varied　evaluation　systems　for　the　built　environment,　most　have　utilized　the　open-source　nighttime　light　(NTL)　data　(2012　similar　to　)　from　the　Visible　Infrared　Imaging　Radiometer　Suite　(VIIRS)　sensor　on　the　Suomi　National　Polar-orbiting　Partnership　(NPP)　Satellite　to　characterize　nighttime　vitality.　However,　with　the　release　of　the　high　spatial　resolution　NTL　data　from　Glimmer　Imager　for　Urbanization　(GIU)　sensor　on　the　Sustainable　Development　Goals　Satellite　1　(SDGSAT-1)　by　the　Chinese　Academy　of　Sciences　(CAS),　more　options　are　now　available　for　indicating　nighttime　vitality.　Yet,　no　studies　have　so　far　measured　the　representational　capability　of　this　new　NTL　data.　In　this　study,　we　selected　Shanghai,　one　of　the　most　urbanized　cities　in　Asia,　as　our　research　area.　We　utilized　both　GIU　NTL　data　and　VIIRS　NTL　data　to　represent　nighttime　vitality　and　collected　multidimensional　geospatial　big　data　as　indicators　of　the　built　environment.　Various　regression　models　were　employed　to　explore　the　differences　in　explanatory　power　when　using　different　NTL　data.　To　obtain　more　reliable　conclusions,　we　have　also　divided　the　study　area　according　to　urban　functional　zone　categories　and　conducted　experiments　on　both　the　overall　scale　(entire　study　area)　and　local　scale　(different　urban　functional　zones).　The　results　showed　that　regression　models　using　GIU　NTL　data　had　higher　R-2　values　both　at　overall　scale(0.529　＞　0.268)　and　local　scale　(0.704　＞　0.641,　0.701　＞　0.408,　0.537　＞　0.512,　0.674　＞　0.589),　indicating　stronger　explanatory　power　of　GIU　NTL　data.　Furthermore,　we　found　that　the　use　of　GIU　NTL　data　revealed　an　amplification　effect,　where　the　impact　of　certain　representative　built　environment　factors　(such　as　road　density,　building　height,　and　vegetation　coverage)　on　nighttime　vitality　was　magnified,　demonstrating　more　pronounced　spatial　heterogeneity.　Our　study　investigated　the　performance　of　the　new　open-source　SDGSAT1/GIU　NTL　data　in　representing　nighttime　vitality　and　shows　its　potential　application　in　research　on　the　relationship　between　the　built　environment　and　nighttime　vitality.　Additionally,　our　study　also　reveals　the　differences　in　the　impact　of　the　built　environment　on　nighttime　vitality　across　different　urban　functional　zones.　All　these　results　will　provide　more　valuable　references　for　city　managers　aspiring　to　enhance　the　nighttime　vitality　and　help　them　to　make　more　rational　planning　plans.