Abstract
Urban public transportation networks have different characteristics in terms of topological structure. This paper analyzes complex public transportation network characteristics in Guilin such as the network degree distribution, clustering coefficient, and average path length. Suggestions for optimizing the Guilin public transportation network based on application of TRANSCAD software are provided in order to reduce the number of transfers and make travel times/path lengths as short as possible. This paper shows how the degree distribution of the Guilin public transportation network fits to an exponential distribution. Additionally, the degree distribution of the public transportation network demonstrates the characteristics of preferential growth of a scale-free network. This study also shows the Guilin public transportation network has a large clustering coefficient and small average path length, both of which are typical small-world network features.
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