Active　travel　is　associated　with　various　health,　environmental,　social,　and　economic　benefits.　However,　barriers　exist　in　active　travel　activities　and　promotion.　In　particular,　cycling　and　walking　tend　to　be　more　severely　affected　by　inclement　weather　than　encapsulated　modes,　such　as　passenger　and　transit　vehicles.　This　study　analyzes　the　impacts　of　weather　and　climate　conditional　changes　on　the　usage　of　twin　multi-use　trails　in　Seattle,　United　States.　Both　comparative　analysis　and　residual　regression　analysis　methods　are　used　to　examine　the　impacts.　The　buffered　effects　of　rainfall　on　cycling　and　walking　are　particularly　investigated.　The　findings　indicate　that　at　the　daily　level,　weather　conditions　are　more　influential　on　active　travel　on　the　two　trails　on　weekdays　than　on　weekends.　Nevertheless,　cyclists　and　pedestrians　on　weekdays　tend　to　be　more　resilient　to　weather　influence　than　weekend　riders　and　walkers　at　the　hourly　level.　Cycling　could　be　more　severely　influenced　by　weather　condition　changes　than　walking,　especially　on　weekdays.　The　concurrent　rainfall　not　only　affects　the　concurrent　active　travel,　but　it　also　affects　the　usage　of　trails　1　h　earlier.　Comparatively,　the　delay　effects　of　rainfall　on　active　travel　can　last　a　longer　period　of　time　for　cycling　on　weekdays.　Note　that　self-selection　in　a　time-series　data　analysis,　particularly　at　a　finer　temporal　scale,　must　be　controlled.　This　study　discusses　the　implications　of　these　findings　and　highlights　the　potentials　of　accurate　real-time　or　near　real-time　weather　prediction,　weather　information　push　service　for　active　travelers,　and　facilities＇　clearing　in　improving　the　cycling　and　walking　experience.