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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
