Vibrancy　is　indispensable　and　beneficial　for　revitalization　of　historic　districts.　Hence,　identifying　built　environment　predictors　for　vibrancy　is　of　great　interest　to　urban　practitioners　and　policy　makers.　However,　it　is　challenging.　On　the　one　hand,　there　is　no　consensus　in　selection　of　appropriate　proxy　for　vibrancy.　On　the　other　hand,　the　built　environment　is　multidimensional,　but　limited　studies　examined　its　impacts　on　vibrancy　from　different　dimensions　simultaneously.　The　Baitasi　Area　is　a　typical　historic　district　in　Beijing,　China.　In　this　study,　on　the　basis　of　a　long-term　repeatedly　measured　dataset　generated　from　the　Citygrid　sensors,　we　investigated　the　spatiotemporal　distribution　of　street　vibrancy　in　Baitasi　Area　and　examined　its　built　environment　predictors　in　two　seasons　(i.e.,　summer/autumn　and　winter),　with　pedestrian　volume　as　the　proxy　for　vibrancy　and　built　environment　portrayed　from　four　different　dimensions　(i.e.,　morphology,　configuration,　function,　and　landscape).　We　found　that　(1)　the　street　vibrancy　in　Baitasi　Area　is　temporally　relatively　evenly　distributed,　but　with　higher　spatial　concentration;　(2)　microclimate　and　built　environment　are　more　significant　in　winter　than　in　summer/autumn;　(3)　street　morphology　and　configuration　features　are　more　significant　predictors　than　street　function　and　landscape　features;　(4)　generally,　streets　with　higher　point　of　interest　(POI)　diversity,　higher　buildings,　and　stronger　network　connection　tend　to　have　higher　vibrancy.　This　study　provides　decision　makers　with　insights　in　revitalizing　historic　districts.