The　design　of　street　spaces　significantly　influences　public　behavior　and　quality　of　life.　Understanding　how　various　urban　street　spatial　characteristics　affect　public　behavior,　alongside　the　role　of　multi-sensory　perception,　enables　designers　and　planners　to　create　more　human-centered　urban　environments.　Grounded　in　landsenses　ecology,　this　study　employs　correlation　analysis,　regression　analysis,　and　Partial　Least-Squares　Structural　Equation　Modeling　(PLS-SEM)　to　examine　the　effects　of　different　urban　street　spatial　characteristics　on　public　behavior　and　the　mediating　role　of　multi-sensory　perception.　The　findings　reveal　that　street　spatial　characteristics,　particularly　the　Water　Surface　Ratio　(WSR)　and　Waterfront　Density　(WD),　have　a　pronounced　impact　on　behavioral　traits,　with　higher　public　activity　frequencies　in　areas　with　elevated　WSR　and　WD.　Notably,　WSR　significantly　affects　static　behaviors,　such　as　sunbathing　(beta　=　0.371,　p　＜　0.001),　and　dynamic　behaviors,　such　as　walking　(beta　=　0.279,　p　＜　0.001).　While　road　and　water　characteristics　directly　influence　behavior,　buildings　and　green　spaces　mainly　affect　public　behavior　through　multi-sensory　perception.　Different　sensory　perceptions　show　varying　effects,　with　olfactory　perception　playing　a　significant　role　in　these　experiences,　alongside　a　notable　chain-mediated　effect　between　tactile　perception　and　psychological　cognition.　These　results　provide　valuable　insights　for　integrating　multi-sensory　experiences　into　urban　design.