The　study　of　urban　residents＇　time　allocation　behaviors　of　daily　activity-travel　helps　to　understand　their　decision-making　mechanisms,　and　take　corresponding　measures　to　effectively　guide　travelers＇　travel　behavior.　Based　on　the　analysis　of　travel　data　of　ATUS　in　the　U.S.,　this　paper　extracted　the　influencing　factors　of　travelers＇　activity　scheduling.　The　joint　selection　process　of　activity　participation　type　and　activity　duration　on　the　continuous　time　axis　is　explained　through　sensitivity　analysis.　The　results　show　that:　(1)　According　to　the　activity　scheduling　behavior　of　travelers,　it　can　be　found　that　each　trip　has　its　next　trip　associated　with　it　based　on　activity　chain.　(2)　The　covariate　parameter　estimation　results　based　on　Cox　model　show　that　factors　such　as　age,　race,　marital　status,　family　income,　family　size,　activity　date,　total　number　of　daily　activities,　and　duration　time　of　activity　N+1　have　significant　influence　on　the　duration　time　of　activity　N.　(3)　The　estimated　model　suggesting　that　there　is　interrelated　and　constraint　relationship　between　activity　N　and　activity　N+1　of　travelers.　Moreover,　the　strength　of　that　relations　changes　significantly　with　type　of　activities.　The　competing　risk　models　used　in　this　paper　are　a　useful　tool　for　describing　such　differences.　These　fundamental　works　are　help　for　enriching　and　expanding　the　travel　behavior　analysis　theory　and　method.