The　impact　of　urban　noise　on　residents＇　physical　health　and　mental　condition　has　gradually　become　a　hot　topic　of　public　discussion.　A　single　urban　noise　monitoring　cannot　fully　reflect　the　public＇s　actual　perception　and　feeling　of　noise.　In　contrast,　social　perception　data　can　provide　indirect　data　reference　for　the　public＇s　perception　of　noise.　This　study　first　collected　and　synthesized　public　noise　complaint　data　from　the　government　complaint　platform.　Furthermore,　the　spatial　and　temporal　distribution　characteristics　of　noise　complaints　in　urban　blocks　were　analyzed　to　explore　the　relationship　between　noise　complaint　behaviours　and　The　Point　of　Interest　(POI)　distribution.　The　results　show　that:　1)　In　the　time　dimension,　the　total　number　of　complaints　at　night　is　2,157　and　that　in　the　daytime　is　980.　Furthermore,　the　number　of　noise　complaints　at　night　is　much　more　than　the　number　of　noise　complaints　during　the　day;　2)　In　the　spatial　dimension,　different　types　of　noise　complaints　have　obvious　aggregation　characteristics.　Specifically,　construction　noise　complaints　are　relatively　concentrated,　with　some　1,813　complaints,　while　life　and　business　noise　complaints　are　scattered,　with　several　1,324　complaints;　3)　Noise　complaints　have　a　specific　correlation　with　the　distribution　of　different　types　of　POIs,　among　which　the　correlation　is　highest　with　living　commercial　and　residential　locations;　4)　Places　with　higher　and　more　abundant　POIs　are　prone　to　higher　noise　complaints.　This　study　can　provide　some　ideas　for　promoting　the　optimization　of　urban　noise　problems.　(c)　2022　The　Author(s).　Published　by　Elsevier　Ltd.　This　is　an　open　access　article　under　the　CC　BY　license　(http://creativecommons.org/licenses/by/4.0/).