Given　the　rapid　evolution　of　urban　morphology　and　the　expansion　of　urban　scale,　characteristics　of　residential　daily　activities　become　diverse　and　change　constantly.　To　do　more　research　on　residential　activity　and　travel　behavior,　a　better　understanding　of　family　joint　tour/activity　generation,　especially　the　driving-included-mode　joint　tour　generation　should　be　developed,　and　this　is　also　essential　to　the　policymaking　of　transportation.　Using　descriptive　statistics,　this　paper　investigates　empirical　characteristics　of　family-joint　tours＇　frequency　and　patterns.　The　effect　of　several　attributes,　including　individual　and　household　socio-demographics,　on　the　household　members＇　choice　behavior　is　analyzed　by　cross　tab　method.　Also,　a　binary　logistic　regression　model　is　presented　to　estimate　the　likelihood　that　a　family　generates　joint-tours.　Using　the　travel　data　collected　in　a　suburban　district　of　Beijing,　the　empirical　results　show　that　family　size,　age　distribution,　possession　of　mobile　car,　and　profession　structure　affect　both　the　generation　of　family　joint　tour　and　the　joint-tour　type,　such　as　mandatory　tour,　maintenance　tour,　and　discretionary　tour.　Future　research　should　focus　on　the　analysis　and　modeling　of　travel　mode　choice　of　joint-tours＇　participants　involving　more　attributes　than　those　listed　above.　©　2010　ASCE.