A Complex Network Analysis of Inland Waterways Network Connectivity of Bangladesh

Tabassum, Firoza, Islam, Humaira, Ali, Ahsan Amin and Zaber, Moinul, "A Complex Network Analysis of Inland Waterways Network Connectivity of Bangladesh" 2020 IEEE Region 10 Symposium (TENSYMP 2020), Dhaka, 2020/06/05-07.

Document type:
Conference Publication
Collection:
UNU-EGOV Conference Publications

Metadata
Links
Versions
Statistics
  • Sub-type Conference paper
    Author Tabassum, Firoza
    Islam, Humaira
    Ali, Ahsan Amin
    Zaber, Moinul
    Title A Complex Network Analysis of Inland Waterways Network Connectivity of Bangladesh
    Event Series IEEE Region 10 Symposium (TENSYMP)
    Publication Date 2020-11
    Place of Publication New York
    Publisher Institute of Electrical and Electronics Engineers (IEEE)
    Pages 1588-1591
    Title of Event 2020 IEEE Region 10 Symposium (TENSYMP 2020)
    Date of Event 2020/06/05-07
    Place of Event Dhaka
    Language eng
    Abstract A well-structured inland waterways system should help Bangladesh fulfill SDG goals. In this study, we employ complex network analysis methods to analyze the river-port network of the country. We ascertain different types of ports based on their importance and placement in the connectivity network. Data regarding port location, vessel routes, and schedules were collected from governmental resources. Using the data, a connectivity network was built for further analysis. Different measures of network analysis are used to categorize the ports and the network model has been identified. These categories should help transportation planners and policymakers to better design the inland waterways network of Bangladesh.
    Keyword transportation network analysis
    river network
    complex network analysis
    research line technology
    Copyright Holder Institute of Electrical and Electronics Engineers (IEEE)
    Copyright Year 2020
    Copyright type All rights reserved
    ISBN 9781728173665
    DOI 10.1109/TENSYMP50017.2020.9230896
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 441 Abstract Views  -  Detailed Statistics
    Created: Fri, 12 Feb 2021, 01:23:58 JST by Mario Peixoto on behalf of UNU EGOV