Based　on　the　analysis　of　data　collected　from　a　tourist　survey　in　Beijing,　a　Nested　Logit　model　was　built　to　structure　the　interdependent　model　between　travel　pattern　and　trip　chain　choice.　The　structure　of　the　Nested　Logit　model　was　identified　by　using　inclusive　value.　The　analysis　results　of　this　model　show　that　there　is　hierarchical　relationship　between　travel　pattern　and　trip　chain　choice,　and　the　travel　pattern　will　always　be　significantly　affected　by　whether　the　tourists　are　local　visitors,　whether　they　travel　in　holiday　and　how　many　travel　companions　do　they　have,　and　whether　they　are　familiar　with　tourist　attractions.　On　the　other　hand,　tourists＇　age,　gender,　education,　occupation,　and　whether　they　hold　driver＇s　license,　whether　they　live　with　family　and　whether　they　are　local　tourists　have　significant　impacts　on　trip　chain　choice.