Changzhou Bus Complex Network Research

Based on the new Complex Network theory and its research methods, this thesis provides a completely new platform for the empirical study of the bus-transport network of Changzhou. In the process of empirical analysis, the author maps the urban bus-tansport system of Changzhou into complex bus networks corresponding to the stop geographical relation, the bus-transferring relation and the route relation respectively. The author draws the following conclusion based on the empirical study:1)All the considered complex networks have "small-world phenomena" with a small average shortest path length and a large clustering coefficient, i.e. only through several steps the passengers can transfer from one bus line to any other bus line, or from one stop to another;2) The Cumulative distribution of Complex Network node degrees under both stop geographical relation and bus-transferring relations exhibit the statistical results of exponential distribution. The result reflects that stops large with node degrees were quite few, which means that the hub terminals or lines with strong connectivity were quite few in the bus networks. The bus network of Changzhou is shown to be stable from the aspect of station distribution;3) The Cumulative distribution in the route network exhibits the statistical results of a Power-law Distribution. The result explains that the bus route networks of Changzhou are in accordance with the characteristics of scale-free networks. There are some critical routes which have great influence on the whole bus network of Changzhou. This empirical study is expected to give a reference to the development of the public traffic of Changzhou.Furthermore, the study is focused on the simulation of the evolutionary process of the real-life bus-transport networks. The shifted power-law mended model proposed at present can analytically reproduce the real-life BTNs with the similar degree distributions tails. Two important ingredients:growth and linear preferential attachment with initial attractor, which are inferred by two facts of preference and random attachment principles in real-life evolutional BTNs, are considered in this model. From the statistical results, we know that bus transfer networks can be simulated with the stochastic growth model.