Abstract: Using the theory of the complex network, Chengdu's public traffic network in space R was built combined with the data of Chengdu's public transport. The paper sequenced the network nodes by node degrees to evaluate the connectedness of sub-nets formed by the top a node degrees. Furtherly, the bus lines were sorted according to line properties to analysis the connection properties between different sorts. The results show that the clustering coefficient of the whole network is 0.566 and the sub-net, formed by the nodes with top 10 percent node degrees, is 0.721, which demonstrates the obvious "Rich Club" Phenomenon. BRT and rail transit are the core lines for transport transfer. Urban lines formed the main part of the public transport, but they reduced the connectedness of the network at some level. Feeder bus lines and suburban lines play important roles in keeping the connectedness steady. Community bus lines majorly connect main lines and enhance the connectedness at some level.