As　one　of　the　most　frequently　occurred　driving　behaviors,　the　lane-changing＇s　impact　on　surrounding　traffic　is　important.　From　the　aspect　of　macro-traffic　flows,　its　impact　on　traffic　efficiency　and　safety　has　been　investigated.　However,　as　a　non-essential　lane-changing　type,　a　single　discretionary　lane-changing＇s　impact　on　surrounding　traffic　is　still　difficult　to　be　quantified　by　real-word　traffic　data.　To　solve　this　problem,　this　paper　first　proposes　a　trajectory　data-based　analytic　method　to　calculate　response　time　of　the　lane-changing　vehicle　and　its　following　vehicles,　then　develops　a　time　sequence　data　processing　method　based　on　feature　points　to　analyze　the　change　pattern　of　the　variable　minimum　space,　and　then　a　lane-changing＇s　temporal　and　spatial　on　surrounding　traffic　can　be　captured　by　the　decreasing-increasing　pattern　of　minimum　space.　Besides,　a　high-precision　trajectory　data　set,　called　Zen-traffic,　is　employed　to　demonstrate　the　effectiveness　of　the　proposed　methods　and　reach　conclusions.　Given　the　condition　that　the　speed　of　a　discretionary　lane-changing　vehicle　is　between　6　to　20　m/s,　i.e.,　the　traffic　condition　at　which　lane　changes　more　likely　occur,　the　results　of　the　paper　include　(1)　on　average,　4　or　5　vehicles　are　usually　impacted　by　a　discretionary　lane　change;　(2)　the　average　impact　time　is　12　to　13　seconds　and　it　has　little　relationship　with　the　distance　between　the　lane-changing　vehicle　and　the　following　vehicle　on　the　target/initial　lane;　(3)　the　lateral　movement　direction　(i.e.,　changing　to　left　or　to　right)　of　a　lane　change　has　a　significant　impact　on　the　number　of　the　vehicles　affected.